
Treat AI Models as Untrusted Insiders: 8 Security Practices
Generative AI systems operate with internal state and persistent memory that bypass traditional network perimeters, requiring insider threat controls rather than perimeter defenses.
Everything Sandbox Desk has reported about prompt injection: 6 stories, newest first. Part of our AI coverage.

Generative AI systems operate with internal state and persistent memory that bypass traditional network perimeters, requiring insider threat controls rather than perimeter defenses.

Jailbreaking relies on prompt engineering, not code exploits, and often fails because modern models filter output as well as input.

Large language models shift security from rule-based filtering to probabilistic reasoning, exposing new risks in how teams validate automated decisions and handle sensitive context.

Small teams face unique risks from AI jailbreaks because generic security tools often miss subtle social engineering embedded in code or data requests.

You must treat AI agents as privileged code execution contexts, not just text generators, to prevent silent data exfiltration and unauthorized system changes.

Define agent security boundaries, map control points to data flows, and identify where standard application defenses fail to protect autonomous reasoning.