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How a former NSA scientist grasped the Holy Grail of encryption and changed the paradigm for safely sharing data – SiliconANGLE

Women are a minority in tech, with an average of three men for every one woman. When it comes to cybersecurity, the imbalance is even more acute.

A 2020 report shows that female cybersecurity experts are outnumbered five to one by their male counterparts. Inside the National Security Agency, cybersecuritys inner sanctum, the ratio is anyones guess.So the fact that a woman not only entered, but conquered and emerged victorious, from the NSA andwith the rights to market the ultimate encryption treasureis a feat worthy of attention.

How did she do it?Math, said Ellison Anne Williams (pictured), founder and chief executive officer of Enveil Inc. Math and grit.

Williams spoke withJohn Furrier, host of theCUBE, SiliconANGLE Medias mobile livestreaming studio, during the RSA Conference in San Francisco. They discussed her time at the NSA and how homomorphic cryptography provides the missing link in the cybersecurity chain.

The treasure Williams carried from the NSA is one that has often been described as the Holy Grail of cryptologists: Homomorphic encryption. Developed within the NSA by researchers wanting to maintain security for data in-use,the technology enables data to be handled securely while remaining encrypted.

This week theCUBE spotlights Williams in its Women in Tech feature.

Data security has three parts: data at rest, data in transit, and data at use, explained Williams. The first part involves securing data at rest on the file system and the database.This would be your more traditional in-database encryption, she said.

The second part is securing data as its moving around through the network, known as data in transit. The third part of the data security process is securing data that is in-use data under analysis or search. This is when the data is both at its most vulnerable and its most valuable.

While there are many security solutions for both data at rest and in transit, protecting data while it is being processed has always been the weak point. Data was secure before and after processing but had to be decrypted in order to be accessed, then re-encrypted. Homomorphic encryption solves that issue.

It means we can do things like take searches or analytics, encrypt them, and then go run them without ever decrypting them at any point during processing, Williams explained.

Williams holds adoctorate in mathematics (algebraic combinatorics) from North Carolina State University and two masters degrees, one in mathematics from the University of South Carolina and another in computer science from Nova Southeastern University in Florida.

As an undergrad, Williams was a pre-med student with a plan to study infectious diseases. Instead, she fell in love with math and became an expert in distributed computing and algorithms, cryptographic applications, graph theory, combinatorics, machine learning, and data mining.

After graduating from North Carolina State, Williams joined the research team at the NSA, where she spent 12 years doing a little bit of everything, including large-scale analytics, information security and privacy, computer network exploitation, and network modeling. She also advocated for women to join the NSAs team and mentored her male colleagues.

During her last few years at the NSA, she had the opportunity to work at The John Hopkins University Applied Physics Laboratory in Maryland. It was there that she worked on homomorphic encryption as part of a larger project for the NSA.

Although she had worked in research her whole career, Williams had always harbored entrepreneurial dreams. So when she learned she could declassify some of her research through the NSA Technology Transfer Program, she jumped at the chance to create a homomorphic encryption solution for the marketplace.

The idea of homomorphic encryption is not new. The concept has been around since 1978, but a first-generation fully homomorphic solution wasnt proposed until 2009. Research continued, and second- and third-generation fully homomorphic solutions were proposed. But problems remained with implementing these solutions at scale.

With the launch of Enveil Inc. in 2016, Williams took a bet that by combining the entrepreneurship in her DNA with the results of her years of research at John Hopkins and the NSA she could change that.

Less than a year after founding, the company got the cybersecurity communitys attention at the finals of theRSA Innovation Sandbox. Thats where the conversation really started to change around this technology called homomorphic encryption, the market category space called securing data in use, and what that meant, Williams said.

Williams expected a surprised reaction when the community discovered Enveil had a market-ready homomorphic encryption solution. She didnt expect that big-name early adopters, such as Bloomberg Beta, Thomson Reuters Corp., Capital One Financial Corp., and Mastercard Inc., would be eager to strategically invest in the company.

The enthusiasm is because homomorphic encryption solves the problem of secure data sharing. New technologies such as machine learning rely on ingesting massive amounts of data. Being restricted to just one data source limits the potential for powerful insights, but sharing data resources for analysis is a risky business.

There are also codes and regulations that govern data sharing, such as Europes General Data Protection Regulationand the California Consumer Privacy Act, which limit how data can be managed.Not to mention, people can get upset if they discover a company has a cavalier attitude tosharingpersonal data; as Google discovered withProject Nightingale.

This makes the ability to maintain anonymity and security while sharing data critically important for businesses, especially those in the financial sectors, where the payoff and the risks are high stakes. Say a bank suspects a client of financial misconduct, such as money laundering, and as part of establishing the trail, it needs to verify transactions with other institutions.

[Banks] cant necessarily openly, freely share all the information. But if I can ask you a question and do so in a secure and private capacity, still respecting all the access controls that youve put in place over your own data, then it allows that collaboration to occur, Williams stated.

Homomorphic encryption enables the data to be searched while remaining encoded, so no personally identifiable information is ever revealed and regulation compliance and security is ensured.

Current use casesamong Enveils clients include financial regulation, with banks able to securely share information to combat money laundering and other fraudulent activity. Global transactions are simplified by allowing collaboration regardless of national privacy restrictions. And in healthcare, hospitals and clinics can share patient details to research facilities and remain confident that they are not disclosing sensitive personal data.

After just over three years in operation, Williams is proud of what her company has accomplished. Its really pretty impressive, she said.

It is. Breaking the male-dominated culture of cybersecurity, Williams has created a company that is at the forefront of data in-use security, recently announceda $10 million Series A funding and is looking to expand globally with new product lines that enable advanced decisioning in a completely secure and private capacity.

Were creating a whole new market, Williams said. [Were] completely changing the paradigm about where and how you can use data for business purposes.

Heres the complete video interview, part of SiliconANGLEs and theCUBEs coverage of theRSA Conference:

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How a former NSA scientist grasped the Holy Grail of encryption and changed the paradigm for safely sharing data - SiliconANGLE

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Zoom will let paying customers pick which data center their calls are routed from – The Verge

Zoom will let paying customers pick which data centers calls can be routed through starting April 18th, the company announced in a blog post today. The changes come after a report from the University of Torontos Citizen Lab found that Zoom generated encryption keys for some calls from servers in China, even if none of the people on the call were physically located in the country.

Zoom says paying customers will be able to opt in or out of a specific data center region, though you wont be able to opt out of your default region. Zoom currently groups its data centers into these regions: Australia, Canada, China, Europe, India, Japan/Hong Kong, Latin America, and the US.

Users on the companys free tier cant change their default data center region, though any of those users outside of China wont have their data routed through China, according to Zoom.

On April 3rd, Citizen Lab published its report describing how Zooms encryption scheme sometimes used keys generated by servers in China. That could mean, in theory, that Chinese officials could demand Zoom disclose those encryption keys to the government.

Zoom CEO Eric Yuan said that in the rush to add server capacity to meet the massive need for Zoom during the COVID-19 pandemic, we failed to fully implement our usual geo-fencing best practices and that it was possible that certain meetings were allowed to connect to systems in China. This wasnt the intended behavior and that the company had corrected the issue, according to Yuan.

Yuan announced in an April 1st blog post that Zoom would be implementing a 90-day feature freeze to focus on fixing privacy and security issues. He also said Zoom jumped from 10 million daily users in December all the way up to more than 200 million daily users in March as people flocked to the service while at home due to the pandemic.

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Zoom will let paying customers pick which data center their calls are routed from - The Verge

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Encryption will be broken in the next four to five years – – Enterprise Times

Encryption is always a hot topic. Everyone wants it to keep their data private. Governments want it but also want a backdoor into it so that they can see everything when it suits them, even if nobody trusts them to keep the backdoor secure.

A bigger problem, however, is that encryption of data is never as the industry describes. Data is constantly decrypted as it is used, which opens up all sorts of ways that it can be stolen. The security industry fears that the closer we get to quantum computing, the closer we get to all encryption being broken.

A few months ago, Enterprise Times talked with Simon Bain who was, at the time, CTO of ShieldIO. Bain told us: Currently, encryption will be broken at some point in the next four to five years. Its not going to need quantum to do it. It just needs some clever bugger to go out and actually look at it and say, oh, theres a pattern there. Because the whole universe is made a pattern. There is no such thing as random.

ShieldIO provides encryption of data using a technique called homomorphic encryption. Bain said: Its incredibly simple in terms of what it means. Its the ability to work on data, keep it encrypted and get back a Boolean true or false. There are a lot of companies working on it, but it is not simple.

In this podcast, Bain talks about the challenges with encryption and what homomorphic encryption can add. He also explains why ShieldIO wrote its own libraries due to the limitations of those that are publicly available.

To hear more of what Bain had to say, listen to the podcast.

obtain it, for Android devices fromplay.google.com/music/podcasts

use the Enterprise Timespage on Stitcher

use theEnterprise Times page on Podchaser

listen to the Enterprise Times channel on Soundcloud

listen to the podcast (below) ordownload the podcast to your local device and then listen there

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Encryption will be broken in the next four to five years - - Enterprise Times

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Global Hardware-based Full Disk Encryption Market 2020 Comprehensive Research, SWOT Analysis, Key Players and Forecast by 2025 – Galus Australis

Global Hardware-based Full Disk Encryption Market Report 2020, Forecast to 2025 provides an all in all compilation of the historical, current and future outlook of the market as well as the factors responsible for such a growth. The report shows complete information on the global Hardware-based Full Disk Encryption market today and its outlook based completely on the current and purpose marketplace. The report emphasizes the adoption pattern across various industries. The report focuses on market trends 2020 to 2025 volume and value at the global level, regional level, and company level. With SWOT analysis, the business study highlights the strengths, weaknesses, opportunities, and threats of each market player in a comprehensive way.

Market Description:

The report categorizes the market based on manufacturers, regions, types, and applications. It also classifies the market dynamics and trends in the global and regional markets considering several aspects including technology, supplies, capacity, production, profit, and price. Several major manufacturers mention in the global Hardware-based Full Disk Encryption market research report are focusing on expanding operations in regions as they reveal potential business opportunities. The report gives a complete evaluation of sales enterprise, handing over detailed market records and penetrating insights.

DOWNLOAD FREE SAMPLE REPORT: https://www.magnifierresearch.com/report-detail/37648/request-sample

Popular Players:

Competition is a key subject in any market research analysis. There is the competitive analysis provided in the report, through which players can easily study key strategies adopted by leading players of the global Hardware-based Full Disk Encryption market. They will also be able to plan counterstrategies to achieve a competitive advantage in the global market. Major as well as emerging players of the global market are studied taking into consideration their market share, production, revenue, sales growth, gross margin, product portfolio, and other significant factors. This will help players to become familiar with the moves of their toughest competitors in the global market.

This report focuses on the top manufacturers capacity, production, value, price, and market share in the global market. Top players covered in this global Hardware-based Full Disk Encryption market share report: Seagate Technology PLC, Western Digital Corp, Samsung Electronics, Toshiba, Kingston

Breakdown data by type: Hard Disk Drive (HDD) FDE, Solid State Drives (SSD) FDE

Breakdown data by application: IT & Telecom, BFSI, Government & Public Utilities, Manufacturing Enterprise, Others

Geographically, this report is segmented into several key regions, with sales, revenue, market share and global Hardware-based Full Disk Encryption market growth in these regions, covering: North America (United States, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South America (Brazil, Argentina, Colombia etc.), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

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The report offers a comprehensive analysis with respect to investments and regulatory scenarios that are likely to impact the outlook and forecast of the global Hardware-based Full Disk Encryption market between 2020-2025. The research highlights key factors that create opportunities in the market at global, regional, and country levels. It also evaluates trends along with their product innovations. It further focuses on technologies, volume, and materials in, and in-depth analysis of the market.

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Global Hardware-based Full Disk Encryption Market 2020 Comprehensive Research, SWOT Analysis, Key Players and Forecast by 2025 - Galus Australis

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What is homomorphic encryption and how can it help in elections? | Microsoft On The Issues – Microsoft

Confidence in the electoral system is fundamental to a healthy democracy. But when a Gallup poll last year asked people if they had faith in the honesty of elections,59% of Americans said they did not. The only five countries where confidence in elections is lower, according to Gallup, are Lithuania, Turkey, Latvia, Chile and Mexico.

Elections tend to be the point at which most people come into closest contact with their countrys political processes when they cast their vote and have a say in who will represent them in local, regional or national bodies. The Gallup finding, that only 40% of Americans said they are confident in the honesty of elections in the country, relates to a number of factors, the poll says.

From fears of interference in the way an election is run, to failings in the way votes are counted, there is clearly an issue here waiting to be resolved. Data encryption could help to rebuild public trust in democracy by creating a greater sense of connection between the electorate and the results of the elections in which they take part.

[Read More: What is ElectionGuard?]

Using data without losing privacy

Encrypting data is commonplace. Emails, message platforms, e-commerce and online banking are just some of the everyday activities that are made safer and more secure because of it. There is also a role for encryption in helping foster greater trust in the democratic process.

Historically, however, encryption has not been used widely to protect voting data. Thats because data thats been encrypted tends to be static; it isnt possible to do much with static data, other than keep it safe and secure.

But what if it was possible to take that data in its encrypted form and perform calculations and computations without first decrypting it? All the encrypted votes could then be added together, counted, tallied and verified while still in their safe and protected state.

This is one of the things that can be done using what is known as homomorphic encryption.

Josh Benaloh, Senior Cryptographer at Microsoft Research, explains how it works: The key thing is that this can help address the confidence shortfall, he says. With regular encrypted data, all you can do is decrypt it. Its a little like putting something in a safe for transport or safekeeping. Eventually, all youre going to do is take it out.

But homomorphic encryption allows you to compute on encrypted data without the need to decrypt it first.

In a wider context, it would allow an organization to do more than just store encrypted data in the cloud. It would be possible to perform computational tasks on it while keeping it completely secure, getting an encrypted result as the output.

Adding value

Homomorphic encryption offers the ability to perform additions on encrypted data, which unlocks a number of potentially useful scenarios. It becomes possible to review salary data and calculate the average or the mean salary paid to an organizations employees, for example all while keeping the privacy of individual employees and their rates of pay safe and secure.

If you think about what an election is, it all starts with ones and zeros, Benaloh says. One is I selected that option and zero is I didnt select that option. Tallying the election is just adding how many selected one option, how many selected a different option adding all the ones and zeros.

[Read More: Another step in testing ElectionGuard]

Thanks to the homomorphic property, you take all the individual encrypted votes and aggregate them into an encrypted tally, and then you can decrypt to get the separated-out tallies without compromising the privacy of individual votes.

This delivers a full record of how many votes were cast for each candidate while safeguarding the secrecy of the ballot. But it does something else. It makes it possible to offer voters end-to-end verifiability.

All of this was put to the test during the Microsoft ElectionGuard pilot in Fulton, Wisconsin in February 2020. The ElectionGuard software encrypted each voters choice before generating a ballot paper and tracking number for them. Voters received a unique code as part of their encrypted ballot, which enabled them to access a post-election verification platform. That platform would read the encrypted code and confirm that the vote associated with it was cast in a particular way.

Demonstrating to an individual voter that their vote is secure and their identity protected is clearly a necessary part of maintaining election confidence. If there were ever any doubts over those two factors, people would be forgiven for losing trust in the democratic process.

Homomorphic encryption now offers an undeniable way of verifying the accuracy of each vote cast, too. This may not be the silver bullet that restores faith in the electoral process, but it is an important part of demonstrating to people the robustness of the system to which they entrust their democratic right.

For more on Microsofts Defending Democracy Program, visit On the Issues. And follow @MSFTIssues on Twitter.

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What is homomorphic encryption and how can it help in elections? | Microsoft On The Issues - Microsoft

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Signal Threatens to Leave the US If EARN IT Act Passes – WIRED

On Friday, Apple and Google announced a joint collaboration to make a Covid-19 "contact-tracing" framework available for legions of Android and iOS smartphones. Slated for release next month, the platform will give public health organizations the ability to track infections and use Bluetooth proximity analysis to warn people if they've come into contact with someone who has reported that they're infected. The service will be opt-in only and is designed to preserve privacy, the companies say. The pandemic has fueled debate about contact-tracing apps, but researchers say that it is possible to design encryption schemes for such services in a way that would successfully protect user privacy.

In other pandemic news, the Trump administration's hesitation to invoke the Defense Production Act to spur N95 mask manufacturing in the United States may mean that it's too late now for the effort to help the way it would have. And election officials are scrambling to scale up voting contingency plans for primaries and Election Day this year, including adding capacity for potential expanded absentee voting by mail. President Trump attempted to politicize vote-by-mail efforts in a number of remarks and tweets this week.

Researchers made a map of all the nations they've linked to the use of zero-day exploits; these elite tools are far more widespread than you might think. Plus, researchers from Cisco Talos demonstrated that cheap 3D printers are making it easier than ever to clone fingerprints and trick smartphone and laptop fingerprint locks.

If you need something to do this weekend, cut through the hubbub and use WIRED's comprehensive guide to making your Zoom meetings more private and secure.

And there's more. Every Saturday we round up the security and privacy stories that we didnt break or report on in depth but think you should know about. Click on the headlines to read them, and stay safe out there.

The end-to-end encrypted messaging app Signal, which is respected and trusted for its transparent, open source design, says that it will be one of the immediate casualties should the controversial EARN IT Act pass Congress. Written by South Carolina Republican senator Lindsey Graham and Connecticut Democrat Richard Blumenthal and introduced in the Senate last month, the EARN IT Act claims to be a vehicle for improving how digital platforms reduce sexual exploitation and abuse of children online. But the law would really create leverage for the government to ask that tech companies undermine their encryption schemes to enable law enforcement access. Signal developer Joshua Lund said in a blog post on Wednesday that Signal is not cool with that! More specifically, he noted that Signal would face insurmountable financial burdens as a result of the law and would therefore be forced to leave the US market rather than undermine its encryption to stay. Given that Signal is recommended and used across the Department of Defense, Congress, and other parts of the US government, this would be a seemingly problematic outcome for everyone.

WhatsApp announced on Tuesday that it will restrict forwarding of highly forwarded messages, so users can only send them to one chat at a time. The idea is to make it much more difficult and tedious to bulk-forward a message. WhatsApp has put other restrictions on forwarding in the past. Last year it started labeling highly forwarded messages with a double-arrow icon, and it has been particularly focused on curbing the spread of misinformation in recent months, given the Covid-19 pandemic.

Hackers hit the currency exchange firm Travelex with ransomware at the beginning of January, crippling the company's operations. This turned out to be just the beginning of the company's problems and financial woes. The Wall Street Journal reports, though, that before it was embroiled in the drama of a major accounting scandal, Travelex paid its ransomware attackers a whopping $2.3 million in an attempt to get them to go away. Paying hackers their requested ransom is not illegal in the United Kingdom where Travelex is based, but it is frowned upon by the international law enforcement community and security experts. Victims can't be sure that attackers will actually retreat after they receive the ransom, and paying emboldens hackers to attempt more ransomware schemes.

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Encryption Software Market Booming by Size, Trends, Top Key players and Forecast to 2026 – Science In Me

The Encryption Software Market report provides a fine intelligence that prepares market participants to compete well with their toughest competitors based on growth, sales and other important factors. The research study focuses on key growth opportunities and market trends outside of critical market dynamics, including drivers and market challenges. With the help of this report, interested parties can prepare themselves for developments in the Encryption Software branch and position themselves on the market for the coming years. The report includes market development statistics, a list of selected key players, an in-depth regional analysis and a comprehensive market segmentation study to provide a thorough understanding of the Encryption Software market.

The Encryption Software Sales Market Report mainly contains the following Manufacturers:

The report is created using advanced primary and secondary research techniques and sophisticated market analysis tools. Our analysts conduct personal and telephone interviews to gather information about the Encryption Software industry. They also refer to corporate websites, government documents, press releases, annual and financial reports, as well as databases of organizations in authority positions in the Encryption Software industry. We do not include any data or information in the report unless it is checked against reliable bodies.

The report contains a detailed analysis of the competitive landscape and the profiling of the most important competitors on the Encryption Software market. The authors of the report want to give readers a comprehensive assessment of the supplier landscape and inform them about current and future changes. The competition analysis proposed in the report includes the market share, gross margin, product portfolio, consumption, market conditions and technologies of the main players in the Encryption Software market.

The report provides a general explanation of the presence of the Encryption Software market in different regions and countries. With a thorough regional analysis of the Encryption Software market, research analysts are trying to uncover hidden growth prospects available to players from different parts of the world. They accurately estimate market share, CAGR, production, consumption, price, income and other key factors that indicate the growth of the regional markets examined in the report. They also stressed the presence of key players in regional markets and how this affects the growth of regional markets.

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What will the report contain?

Market Dynamics: The report contains important information on influencing factors, market drivers, challenges, opportunities and market trends as part of the market dynamics.

Global Market Forecast: Readers receive production and sales forecasts for the Encryption Software market, production and consumption forecasts for regional markets, production, sales and price forecasts for the Encryption Software market by type and consumption forecasts for the Encryption Software market per application.

Regional Market Analysis: It can be divided into two different sections: one for the analysis of regional production and one for the analysis of regional consumption. Here, analysts share gross margin, prices, sales, production, CAGR, and other factors that indicate the growth of all regional markets examined in the report.

Market Competition: In this section, the report provides information on the situation and trends of competition, including mergers and acquisitions and expansion, the market shares of the three or five main players and the concentration of the market. Readers could also get the production, revenue, and average price shares of manufacturers.

Key Players: The report provides company profiles for a decent number of leading players in the Encryption Software market. It shows your current and future market growth taking into account price, gross margin, income, production, service areas, production locations and other factors.

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Tags: Encryption Software Market Size, Encryption Software Market Trends, Encryption Software Market Forecast, Encryption Software Market Growth, Encryption Software Market Analysis

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Encryption Software Market Booming by Size, Trends, Top Key players and Forecast to 2026 - Science In Me

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Hardware Encryption Technology Market SWOT Analysis by Key Outlook to 2026 | Illumina, Thermo Fisher Scientific, Roche Diagnostics – Cole of Duty

Futuristic Reports, The growth and development of Global Hardware Encryption Technology Market Report 2020 by Players, Regions, Type, and Application, forecast to 2026 provides industry analysis and forecast from 2020-2026. Global Hardware Encryption Technology Market analysis delivers important insights and provides a competitive and useful advantage to the pursuers. Hardware Encryption Technology processes, economic growth is analyzed as well. The data chart is also backed up by using statistical tools.

Simultaneously, we classify different Hardware Encryption Technology markets based on their definitions. Downstream consumers and upstream materials scrutiny are also carried out. Each segment includes an in-depth explanation of the factors that are useful to drive and restrain it.

Key Players Mentioned in the study are Illumina, Thermo Fisher Scientific, Roche Diagnostics, Pacific Biosciences, AC-Gen Reading Life, Agilent Technologies, Beckman Coulter, Cofactor Genomics, DNA Link, Eurofins MWG Operon, Expression Analysis, GE HealthCare, Otogenetics, Oxford Nanopore

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Key Issues Addressed by Hardware Encryption Technology Market: It is very significant to have Hardware Encryption Technology segmentation analysis to figure out the essential factors of growth and development of the market in a particular sector. The Hardware Encryption Technology report offers well summarized and reliable information about every segment of growth, development, production, demand, types, application of the specific product which will be useful for players to focus and highlight on.

Businesses Segmentation of Hardware Encryption Technology Market:

On the basis on the applications, this report focuses on the status and Hardware Encryption Technology outlook for major applications/end users, sales volume, and growth rate for each application, including-

Research institutesCommercial entities

On the basis of types/products, this Hardware Encryption Technology report displays the revenue (Million USD), product price, market share, and growth rate of each type, split into-

Reagents and consumablesEquipment

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NOTE : Our team is studying Covid-19 impact analysis on various industry verticals and Country Level impact for a better analysis of markets and industries. The 2020 latest edition of this report is entitled to provide additional commentary on latest scenario, economic slowdown and COVID-19 impact on overall industry. Further it will also provide qualitative information about when industry could come back on track and what possible measures industry players are taking to deal with current situation.

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You just drop an Email to:[emailprotected] us if you are looking for any Economical analysis to shift towards the New Normal on any Country or Industry Verticals.

Hardware Encryption Technology Market Regional Analysis Includes:

Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia) Europe (Turkey, Germany, Russia UK, Italy, France, etc.) North America (the United States, Mexico, and Canada.) South America (Brazil etc.) The Middle East and Africa (GCC Countries and Egypt.)

Hardware Encryption Technology Insights that Study is going to provide:

Gain perceptive study of this current Hardware Encryption Technology sector and also possess a comprehension of the industry; Describe the Hardware Encryption Technology advancements, key issues, and methods to moderate the advancement threats; Competitors In this chapter, leading players are studied with respect to their company profile, product portfolio, capacity, price, cost, and revenue. A separate chapter on Hardware Encryption Technology market structure to gain insights on Leaders confrontational towards market [Merger and Acquisition / Recent Investment and Key Developments] Patent Analysis** Number of patents filed in recent years.

Table of Content:

Global Hardware Encryption Technology Market Size, Status and Forecast 20261. Market Introduction and Market Overview2. Industry Chain Analysis3. Hardware Encryption Technology Market, by Type4. Hardware Encryption Technology Market, by Application5. Production, Value ($) by Regions6. Production, Consumption, Export, Import by Regions (2016-2020)7. Market Status and SWOT Analysis by Regions (Sales Point)8. Competitive Landscape9. Analysis and Forecast by Type and Application10. Channel Analysis11. New Project Feasibility Analysis12. Market Forecast 2020-202613. Conclusion

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Hardware Encryption Technology Market SWOT Analysis by Key Outlook to 2026 | Illumina, Thermo Fisher Scientific, Roche Diagnostics - Cole of Duty

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Quantum computer chips demonstrated at the highest temperatures ever – New Scientist News

By Leah Crane

Credit: Luca Petit for QuTech

Quantum computing is heating up. For the first time, quantum computer chips have been operated at a temperature above -272C, or 1 kelvin. That may still seem frigid, but it is just warm enough to potentially enable a huge leap in the capabilities.

Quantum computers are made of quantum bits, or qubits, which can be made in several different ways. One that is receiving attention from some of the fields big players consists of electrons on a silicon chip.

These systems only function at extremely low temperatures below 100 millikelvin, or -273.05C so the qubits have to be stored in powerful refrigerators. The electronics that power them wont run at such low temperatures, and also emit heat that could disrupt the qubits, so they are generally stored outside the refrigerators with each qubit is connected by a wire to its electronic controller.

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Eventually, for useful quantum computing, we will need to go to something like a million qubits, and this sort of brute force method, with one wire per qubit, wont work any more, says Menno Veldhorst at QuTech in the Netherlands. It works for two qubits, but not for a million.

Veldhorst and his colleagues, along with another team led by researchers at the University of New South Wales in Australia, have now demonstrated that these qubits can be operated at higher temperatures. The latter team showed they were able to control the state of two qubits on a chip at temperatures up to 1.5 kelvin, and Veldhorsts group used two qubits at 1.1 kelvin in what is called a logic gate, which performs the basic operations that make up more complex calculations.

Now that we know the qubits themselves can function at higher temperatures, the next step is incorporating the electronics onto the same chip. I hope that after we have that circuit, it wont be too hard to scale to something with practical applications, says Veldhorst.

Those quantum circuits will be similar in many ways to the circuits we use for traditional computers, so they can be scaled up relatively easily compared with other kinds of quantum computers, he says.

Journal references: Nature, DOI: 10.1038/s41586-020-2170-7 and DOI: 10.1038/s41586-020-2171-6

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Quantum computer chips demonstrated at the highest temperatures ever - New Scientist News

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On my mind: Transitioning to third-party cloud services – Help Net Security

During this extended period of social distancing filled with increased online activity, I cant help but reflect on all the user data that has been created, stored, hacked, exposed, bought, shared and sold over the last 10 years. Whats known as the black market is built on this immeasurable and personally identifiable data information both believed to be secured and known to be exposed and frankly, it is entirely of our own creation.

The transition from traditional onsite data colocation to the use of third-party cloud shared tenant services should be on everyones minds. With this growing shift, everyone from individuals to enterprises will continue to fuel threat actors by improperly storing information in the cloud.

Adversaries today do not have to spend nearly as much time or effort exploiting an organization its a no brainer for them to suck down improperly secured data from the cloud. In fact, I would argue that the amount of data exposed by misconfigured S3 buckets and or thirdparty vendors (for example misconfigured Mongo databases, Elastic Search Engines or other applications) far exceeds exposure by any other threat actor activity.

Major factors contributing to improperly secured data include a misconception that the cloud is inherently more secure than storing data onpremise, the struggle to define the scope of an enterprise environment and a lack of visibility into threat actor environments, the perpetual selling of security solutions as if they are a silver bullet, and a shortage of security professionals.

I regularly hear people say the cloud is so much more secure, but when asked, Why is it more secure? the responses are not reassuring. Larger organizations are likely to have highly skilled teams to secure their own infrastructure, but the cloud model is designed for ease of use, and reduced friction and complexity a ripe combinations for folks with less technical skills to launch data into the cloud. In fact, placing the data you govern into a shared tenant service is as easy as putting in a valid credit card.

However, many companies move to virtual servers in cloud services and simply duplicate traditional on site services. They do not consider that in order to remain secure, these servers require the exact attention that an onsite server requires, continuous backporting and patching, network services firewall and identity access management. Because the cloud is often utilized by organizations who do not have robust security teams, this maintenance and security hygiene often goes unchecked.

Its well understood by now that organizations are challenged by defining the boundaries and scope of their environments, and knowing where web applications ingress and egress, whether an environment has adequate segmentation or if its a flat network. But it bears repeating that in order to protect data, you have to know everywhere it is and what it means.

Conducting tabletop exercises that leverage modern threat vectors such as Stride, Trike or other frameworks is one way to track the most likely ways a threat actor could gain access or circumvent intended security controls, but many organizations are unprepared to complete these exercises or internally discuss the technical issues surrounding the results. In other words, they lack the language and ability to quantify threat risks to the organization which prevents the brand from defining their appetite for risk.

Enterprise security solutions are being sold as silver bullets. Many of these solutions are generally syslog tools marked up with hot words like AI and Next Generation, but really should be noted as Lipstick on a Pig. These solutions are often the cause of alert fatigue and companies quickly losing sight of the forest for the trees.

It doesnt matter how easy to use a tool is or how positive the intended outcome is an organization must be able to remediate their identified risk and have a plan to determine whether the risk is greater than the technical debt. Often times this looks like delaying a product rollout and ultimately delaying revenue, or working in haste by dumping data into a new and easy to use product through cloud services that creates unaccounted for risk.

At the crux of the issues surrounding improperly secured information in the cloud is the lack of IT professionals available in the market today. Companies that lack robust IT teams, understandably, seek out flexible options to keep their business operations streamlined and continue supporting growth.

While organizations are hyperfocused on alert fatigue, underfunded security teams or those who simply cannot find the needed talent will be at greater risk of having their data stolen. Hiring managers should consider expanding their search radius for filling these roles, as there are many talented job seekers that could get up to speed quickly if time is allotted for training.

I do believe third party cloud environments will eventually be the enabler we prop them up to be. For larger organizations it may be an enabler to have more control over environments by creating actual CI/CD heavily security, controlled environments such as sanitized development environments with actual sanitized quality control and testing environments. After all, its easy to quickly duplicate and/or burn down environments in the cloud. However, many traditional security controls are often bypassed by decisions to quickly adapt to modern third-party platforms.

Data has overtaken the materials of old as the currency that drives the world. As we move further into this decade, it behooves organizations large and small to consider what data they actually need to collect or store; how and where they are securing it; and the role they may play in fueling the underground economy. Assessing how data loss will affect a company (and a companys tolerance for such loss) is certainly complex but is imperative. I implore organizations to leverage threat vectoring frameworks and avoid the pitfalls of believing the cloud is inherently more secure.

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On my mind: Transitioning to third-party cloud services - Help Net Security

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