Secure AI Atlas

[Secure AI Atlas @secureaiatlas]

ATLAS editorial signal: The Balkanization of Execution-Security Research for AI Coding Agents: Isolation, Access Control, and Time-of-Check-to-Time-of-Use Vulnerabilities. Relevant to AI security teams; review the source before acting. https://t.co/PZrVACXXMd

[Secure AI Atlas @secureaiatlas]

Shadow AI starts as a data-flow problem.
Agentic AI adds identities, permissions and delegated authority.
The key question becomes: what can the agent access and execute?
https://t.co/rqrk7DDYLH
#ShadowAI #AgenticAI

[Secure AI Atlas @secureaiatlas]

New Learning Log entry: how Secure AI Atlas turns external security signals into published content — 7 scripts, 4 risk bands, and a hard rule that no chain jumps from doctrinal decision to public action without a human.

https://t.co/eloBKtqdHi

[Secure AI Atlas @secureaiatlas]

We almost concluded a 14B local model "fabricates wildly" on security signal analysis. Turned out Ollama was silently truncating our context. Fixed, fabrication mostly disappeared — left was something more useful: overconfidence, not invention https://t.co/uROUTev0gO

[Secure AI Atlas @secureaiatlas]

### Post 1 — MCP Security blog

🧵 MCP Security: When Protocol Becomes Attack Vector
🔗 https://t.co/joiqEWxbaT
#AISecurity #MCP #Agentjacking #SupplyChain

[Secure AI Atlas @secureaiatlas]

ATLAS publishes a public control review of itself. The map applied to the mapmaker — what changes, what constrains, who accepts. A governance self-audit in the open.

https://t.co/AwDAjRlFtT

[Secure AI Atlas @secureaiatlas]

Secure AI Atlas is evolving into a governed agentic website.
ATLAS can review, propose, document and validate changes.
OpenClaw governs the perimeter through jobs, Git, reports, build checks and human approval.
A practical lab for AI security governance.
https://t.co/xgt6xXRrxE