AI Tools Are Quietly Breaking Zero Trust

The article argues that modern AI tools—especially LLMs and agents—are undermining the core assumptions of Zero Trust without organizations realizing it. While Zero Trust relies on strict identity, access control, and verification, AI systems blur boundaries by acting autonomously, chaining actions, and accessing multiple systems dynamically. This creates hidden trust paths, over-permissioned agents, and new attack surfaces like prompt injection and data leakage. The result is a false sense of security: companies think they’re enforcing Zero Trust, but AI introduces behavior and execution risks that traditional controls don’t monitor or constrain. 

https://kanenarraway.com/posts/ai-tools-eroding-your-zero-trust-foundations

Comments

Popular posts from this blog

OWASP ASVS 5.0 Released - Key Updates and What You Need to Know

Critical OpenSSH Flaws Enable MITM and DoS Attacks

MITRE ATT&CK v19 Redefines How Defenders Model Modern Threats