Explore homomorphic encryption for privacy-preserving analytics in Model Context Protocol (MCP) deployments, addressing post-quantum security challenges. Learn how to secure your AI infrastructure ...

Orchestrated crypto agility refers to the ability to quickly switch between cryptographic algorithms, libraries, and key lengths without significant disruption. The Fast Company Executive Board is a ...

Strong encryption is the backbone of digital privacy and secure data. Pressure on the government to weaken encryption is mounting, which raises some serious concerns. How do we preserve strong ...

Security experts warn that hashed personal data, like phone numbers, can be reversed, exposing privacy risks despite common ...

With the combination of fast-evolving AI capabilities and the unprecedented compute performance that quantum computing is set to deliver by the end of the decade, a new approach to data security that ...

Your personal privacy depends on your awareness, tech controls that allow you to decide what to share, and public policies that take personal privacy into account. When you purchase through links on ...

Data masking is one of the ways to protect confidential information from unauthorized use. When masking, data is replaced either with arbitrary symbols or (more often) with fictitious data. The array ...

Most organizations operate under a dangerous misconception that their data is safe with encryption at rest and in transit.

Orca Security’s analysis of major cloud infrastructure reveals widespread use of tools with known vulnerabilities, exposed AI models and data, misconfigured systems, and unencrypted data — all to ...

Mike Chapple does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.