DATA SECURITY,PLATFORM SECURITY,SOFTWARE SECURITY
Zapata Computing | December 06, 2022
Zapata Computing, the leading enterprise quantum software company, today announced that the company has earned two new patents for post-quantum cybersecurity techniques. The new patents are for its Variational Quantum Factoring (VQF) and Quantum-Assisted Defense Against Adversarial AI (QDAI) algorithms.
With the addition of these patents, Zapata now owns one of the world’s largest quantum computing software patent portfolios. The company’s growing portfolio includes a diverse range of proprietary quantum algorithms, machine learning, optimization and hardware methods.
VQF and QDAI In the Age of Post-Quantum Cybersecurity Threat Intelligence
As the narrative regarding post-quantum cybersecurity continues to gain momentum across the security, intelligence and technology landscapes, VQF and QDAI underpin Zapata’s post-quantum cybersecurity threat intelligence solutions for its customers.
VQF is a heuristic algorithm for cryptanalysis that can run on near-term quantum devices, quantum-inspired data structures, and other special purpose classical hardware. The hybrid quantum-classical algorithm was developed by Zapata’s technical experts and is a technique that demonstrates that an adversary can already start attempting to compromise existing encryption schemes using heuristic algorithms. A heuristic algorithm is designed to solve a problem faster than traditional methods by sacrificing accuracy or completeness for speed. This means that VQF is effective at identifying specific instances of the encryption vulnerability – helping enterprises shore up defenses in advance of an attack.
“VQF introduces a new category of decryption possibilities that could arrive a lot sooner than the market expects. “We don’t need to wait for a fully fault-tolerant computer that can run Shor’s algorithm to see the threat. It’s not a sudden ‘one-day’ jump. VQF demonstrates that an adversary can try to compromise existing encryption schemes using heuristic algorithms that don’t have a mathematically provable guarantee they will compromise all instances. Using Shor’s algorithm, factoring a 2048-bit RSA number requires a quantum computer with millions of physical qubits running for hours. We estimate that VQF can factor a 2048-bit RSA number with approximately several thousand NISQ qubits in around the same amount of time.”
Yudong Cao, CTO and co-founder of Zapata Computing
QDAI is the first hybrid quantum-classical algorithm for defense against adversarial attacks. Machine learning (ML) classification models are prone to adversarial attacks. These attacks add a very small -- but carefully chosen -- variance to data that confuses the classifier, rendering results to be incorrect. Quantum computers provide a new method of attack against ML models that possess a uniquely quantum noise meant to confuse the model. QDAI trains ML models to be immune to these types of adversarial AI attacks.
“Quantum computers have a high potential to exploit potential vulnerabilities of neural networks,” added Cao. “As threats accumulate and adversarial AI models get stronger, we must leverage the power of quantum and classical resources to successfully defend against these attacks. That’s exactly the reason we developed QDAI. As quantum computers grow, we may be able to switch to a fully quantum classifier, but in the meantime, there is potential for significant gains with the quantum-classical hybrid approach like QDAI.”
“Zapata is consistently pushing the innovation envelope, developing new proprietary methods and technology that can benefit our customers and the ecosystem,” said Christopher Savoie, CEO of Zapata Computing. “These patents represent a growing focus and concern regarding the threat that quantum computers present to national security and global enterprises. We developed VQF and QDAI as proactive threat intelligence techniques in order to develop countermeasures so our enterprise and government customers can assess their systems and make them more robust against an attack. We anticipate that more vulnerabilities will emerge as quantum and AI technology mature, and we’ll continue to research and identify new threats down the road to try to stay a step ahead.”
About Zapata Computing
Zapata Computing, Inc. is a leading enterprise quantum software company. The Company’s Orquestra® platform supports the research, development, and deployment of quantum-ready applications® for enterprises’ most computationally complex problems. Zapata has pioneered new methods in ML, optimization, and simulation to maximize value from near-term quantum devices, and works closely with ecosystem hardware providers such as Amazon, D-Wave, Google, NVIDIA, Quantinuum, IBM, IonQ and Rigetti. Zapata was founded in 2017 and is headquartered in Boston, Massachusetts.
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DATA SECURITY,PLATFORM SECURITY,SOFTWARE SECURITY
Immuta | January 20, 2023
On January 19, 2023, Immuta, a leading data security firm, announced the launch of its latest product, Immuta Detect. Immuta Detect notifies data and security teams about unsafe data access behavior with its continuous data security monitoring capabilities, therby enabling faster and more accurate risk response and improved data security posture management across advanced and modern cloud data platforms.
The product is the new vital component of Immuta's comprehensive Data Security Platform that offers security and access control, data activity monitoring and sensitive data discovery. The platform uniquely integrates with the leading cloud data platforms along with existing SIEM and Managed Detection and Response (MDR) tools.
As data sources and users in modern cloud settings increase, monitoring data usage and responding to threats becomes more challenging. This is critical for safeguarding against insider threats and adhering to rules and regulations. Existing strategies to solve these problems include manual and time-consuming audits of millions of log data records housed in disparate data sources. To stay up with business demands, data and security teams need improved ways for monitoring data access, address issues precisely, and quickly adjust to shifting risk appetites.
With Immuta Detect, customers can swiftly surface and prioritize data usage risks, decrease time to risk mitigation, and maintain data security by utilizing the following new features:
Advanced access behavior analytics - Immuta Detect consolidates data access logs, allowing data and security teams to continuously monitor and evaluate changes in user behavior and data access entitlements by source, user activity or query, as well as get insight into changes in data classification and security configuration.
Sensitive data views and indicators – The company offers a detailed analysis of each user and data activity in depth, summarizing activity across multiple criteria such as time frame, data access event categorization, sensitive data indicators, and most active data sources.
Risk severity detection and scoring - It automatically scores data based on its sensitivity and security, thereby enabling data and security teams to prioritize risks and receive real-time notifications about potential security incidents.
About Immuta
Founded in 2015 and headquartered in Boston, MA, Immuta is a leading cloud data access control provider. It offers data engineering and operations teams a unified platform for controlling access to analytical data sets in the cloud. Additionally, it helps businesses extract value from their cloud data by securing it and giving secure access. It automates access control for any type of data on any cloud service and across any computing infrastructure. The company is now trusted for data security by Fortune 500 organizations and government agencies all around the world.
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DATA SECURITY,ENTERPRISE SECURITY,SOFTWARE SECURITY
Arkose Labs | January 30, 2023
Arkose Labs™, one of the worldwide leaders in bot management and account security, announced the launch of Arkose Email Intelligence™. This new tool prevents bots and bad actors from using fraudulent or dangerous email addresses to target online services and apps.
Legacy email intelligence systems are not optimized and are too costly to utilize in high-volume applications such as new account registration that are targets of bot-driven assaults. Arkose Email Intelligence combines email risk discovery with the industry-leading Arkose Protect, a bot detection and challenge platform, to create the first email intelligence solution.
This solution prevents bots and bad actors from using fake, throw-away, and other high-risk email addresses to develop synthetic online accounts and launch volumetric account takeover (ATO) attacks. In the second half of 2022, the creation of bogus accounts increased by 81% compared to the first half. Additionally, 11% of all attack attempt sessions were ATOs in 2022 and were of the same severity.
Extremely high market demand exists for an email intelligence service that is both highly effective and reasonably priced. Existing services are exorbitantly costly, often compelling CISOs and product teams to use email intelligence at restricted locations more profoundly in the user flow of an application, such as during the payment transaction. This trade-off leaves important occasions, such as the creation of a new account, exposed to assault and misuse by email addresses that are fake or high-risk.
Arkose Email Intelligence is meant to provide robust abuse protection at a much lower cost than previous industry solutions. This allows businesses to afford email intelligence beyond standard transactions.
In addition to combating automated and fraud farm attacks, Arkose Email Intelligence offers organizations over forty relevant data insights. These extensive data points and signals give a multidimensional perspective of the risk connected with the email address, allowing for additional threat assessment and decision-making.
About Arkose Labs
Arkose Labs is one of the industry leaders in bot management. Its novel method identifies genuine user intent and mitigates threats in real time. In addition, risk assessments and interactive authentication difficulties degrade the return on investment (ROI) behind attacks, ensuring long-term security and enhancing consumer throughput. The firm, headquartered in San Mateo, California, with operations in Brisbane and Sydney, Australia, San Jose, Costa Rica, and London, United Kingdom, placed 106th on the North American Deloitte Fast 500 list for 2022.
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