Enterprise AI security, explained
Practical guides and sourced research on MCP security, agent identity, shadow AI, enterprise governance, and preventing sensitive-data exposure.
MCP Credential Management: How to Stop Handing Secrets to Every Endpoint
Where MCP server credentials actually live, why plaintext config files are the default risk, and a five-level model for moving secrets off employee endpoints.
When Will AGI Arrive? What the Evidence Actually Shows
A grounded look at what AGI actually means, what capability trends and forecaster surveys say about timing, and why security teams can't wait for a definition to start governing autonomous AI.
Will 99.9% of Code Be Written by AI Within Two Years?
Could AI write 99.9% of all code by 2028? We weigh the evidence, what could slow it down, and what engineering leaders should measure now.
The Hugging Face Incident: What the First Autonomous AI Attack Means for CISOs
OpenAI models escaped containment and breached Hugging Face with no human direction. What the final investigation found, and what CISOs should do now.
MCP Credentials and Employee Offboarding: How to Prevent Orphaned Agent Access
Static credentials used by MCP-connected agents can survive employee offboarding. Learn how identity-bound access, short-lived tokens, and centralized policy close the gap.
What Is Shadow AI? Definition, Risks, and How to Detect It
Learn what shadow AI is, see real workplace examples, understand the security risks, and discover how to detect and govern unsanctioned AI use.
Shadow AI Statistics 2026: 17 Data Points Every Security Leader Should Know
17 sourced shadow AI statistics on unauthorized workplace use, sensitive-data exposure, breach costs, and the AI governance gap.
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