AI Man-in-the-Middle: The Trust Problem Hiding in Plain Sight
AI has become the middle layer between people, systems, and data. Learn how AI Man-in-the-middle creates new security risks & what defenders should watch.
Read the full articleYou might also wanna read
Guarding AI Agents: The Battle for User-Level Security
AI agents risk leaking private data and performing unauthorized tasks. A review of 21 proposals reveals a push for user-specific permissions

Zero Trust in the Age of AI: A Double-Edged Sword?
AI agents complicate zero trust security models. The challenge? Verifying actions in a world where machines make decisions.

Architecting trust: how to build secure, scalable, and reliable AI-driven solutions
It’s tempting for organizations today to jump onto the agentic AI bandwagon, driven by pressure from multiple fronts. Fierce competition wit
AI Assurance Must Precede Trust in Intelligence Community Systems
AI is already applied to analysis, collection support, cyber defense, logistics, language processing, software development, and mission plan

The AI Agent Security Gap: A Flawed Foundation
AI agents are operating with too much freedom and not enough security. With incidents already occurring, enterprises are dangerously lagging
Google DeepMind shifts AI safety strategy from alignment to monitoring and containment of rogue agents
AI safety has focused on “alignment.” The Google DeepMind plan assumes some AI agents will go rogue and leans on monitoring and access contr

Comments
Sign in to join the conversation.
No comments yet. Be the first.