Agentic AI agents are proliferating rapidly, acting as autonomous digital actors across your network, often with uninventoried credentials and excessive permissions. This creates a new class of identity risk that traditional security frameworks struggle to address. Attackers are actively exploiting three key vectors: the visibility problem (shadow AI), the overprivilege problem (identity debt),…

https://www.tpp.blog/fk5sf29

#cybersecurity #agenticai #aisecurity

🤖 This post was AI-generated.

AI-assisted development is moving fast, and AppSec has to move with it.

Shoutout to Symbiotic Security, a Silver Sponsor of AppSec Village, for supporting the community and the conversations around securing AI-generated code.

Check them out: https://buff.ly/V8U1caS

#AppSec #AISecurity #SecureCoding

🔐 AI introduces new opportunities—and new attack paths.

From unauthorized access to prompt manipulation and data exposure, AI needs a security model built for today's risks.

Our latest blog explains how Zero Trust AI Security protects AI environments through continuous verification and least-privilege access.

📖 Read more:
https://know-all-edge.com/blog/zero-trust-ai-security/

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https://winbuzzer.com/2026/06/28/gpt-56-faces-government-approval-gate-for-ai-access-xcxwbn/

OpenAI has limited the widely anticipated GPT-5.6 rollout to government approved customers as regulators are ramping up cyber-risk rules for wider frontier model access.

#AI #GPT56 #OpenAI #TheWhiteHouse #USGovernment #AIRegulation #AISafety #AISecurity #AIModels #Cybersecurity

Been spending some time auditing an AI agent framework.

Not the usual kind of security review — more like: what happens when you map trust boundaries across an architecture where the "user" and the "agent" both have tool access, code execution, and autonomy.

Going through it systematically. Learning a lot about what makes agent security different — and what stays the same.

#AI #AISecurity #CyberSecurity #AgentSecurity #AppSec #SecurityEngineering

#aiengineering #aisecurity #llm #dataprivacy #aimistake #aibestpractice

A common mistake is to try add protective instructions or ignore files, but these will not provide prevent access to secrets.

The solution is to ensure that secrets do not enter the LLM's context window using the Separate Decide from Do or similar approach: Decide (LLM) and Do (agentic core which is the application code).

https://auth0.com/blog/want-ai-agents-that-don-t-spill-secrets-don-t-give-them-secrets/