15 posts

Analysis

Latest posts
Agentic AI secutiry data
Are Your AI Agent Logs Exposing Sensitive Data?

Google security team members Priya Pandey, Aron Eidelman, and Leonid Yankulin explain why probabilistic AI is breaking traditional DevSecOps, and how runtime security and safer observability must evolve to keep sensitive data out of your logs.

by Faye Waters
Anthropic v. US Department of War
Anthropic v. US Department of War: The AI Safety Standoff That Became an Enterprise Wake-Up Call

The Pentagon’s blacklisting of Anthropic over AI weapons and surveillance restrictions exposes a new class of governance risks for enterprise AI — and reveals how differently America’s leading AI companies view their obligations to the state.

by Faye Waters
Deepfakes breaking varification models
“You Can’t Trust Anything”: How Deepfakes Are Breaking Enterprise Verification Models

Security models are no longer enough as multi-modal attacks overwhelm traditional controls, forcing a rethink of enterprise trust systems.

by Faye Waters
Hidden risk of AI agents
MCP Dangers: Hidden Security Risks in Deploying AI Agents

MCP is rapidly transforming how AI agents interact with enterprise systems, opening up a new class of supply chain, identity, and governance risks that security teams can’t ignore.

by Faye Waters
OpenAI cash burn
The $200 Billion Question: Can OpenAI’s Spending Spree Last?

Hefty cash burn threatens OpenAI’s longevity in the face of self-funded competitor.

by Faye Waters
Demis Hassabis on AI risk
Bio and Cyber Are the Immediate Threats: Demis Hassabis Sounds the Alarm on AI Risk

Google DeepMind CEO warns that defensive systems must outpace AI-powered attack vectors as AGI approaches.

by Faye Waters
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