Abstract: To mitigate the risk of data breaches, an increasing number of biometric recognition systems are introducing encryption biometric template protection methods and directly matching in the ...

Technological opportunities typically come with a certain amount of risk – and generative AI adoption is no exception ...

Veeam showed a new Linux appliance, features in Veeam Backup & Replication that will see it run corporate backups as RAG data, and new cloud features that include Entra ID backup Continue Reading ...

We’ve put some small files called cookies on your device to make our site work. We’d also like to use analytics cookies. These send information about how our site is used to a service called Google ...

The GDPR is a law developed by the European Union (EU) to protect individuals’ personal data. Although it originated in the EU, several countries and organisations outside Europe have to date also ...

Hence, statement 4 is not correct. — The central government will establish the Data Protection Board of India to adjudicate noncompliance with the Bill’s requirements. Therefore, option (b) is the ...

Eric Schwake, director of cybersecurity strategy at Salt Security, said the risk of CVE-2025-34028 lies in the ability to execute external code without prior authentication on systems that are often ...

This alliance will combine Thales’s advanced encryption and key management technologies with Deloitte’s data protection, security consulting, and implementation knowledge. The collaboration provides ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Skyhigh Security, a global leader in the Security Service Edge (SSE) and data security markets, has released its 2025 Cloud Adoption and Risk Report, offering a ...

Assess Your Current State: Evaluate your existing data lineage capabilities against the four pillars above. Identify the most critical gaps for your business. • Prioritize High-Risk Areas ...

The students will work with faculty, graduate students, and undergraduate students on challenging topics related to decision, risk, and big data analytics. The tools that will be used include: network ...

such as multi-spectral data (e.g., PlanetScope), thermal data (e.g., HotSat1), and climate datasets, combined with machine learning (ML) techniques, to advance the detection and risk assessment of ...