Reward Hacking in LLM Agents
Watch not just what the agent says but what it learns to value.
Category: AI Security
LLM Reflex Loops
When agents start reinforcing their own outputs, they risk drifting into confident, consistent and dangerously wrong behavior.
Model-on-Model Attacks
When language models interact, even safe ones can amplify hidden threats
AI Security vs AI Safety
Understanding the Critical Divide in Responsible AI
The Reality of Guardrails in LLM Security
Guardrails can steer LLMs, but they don’t stop a determined attacker
Tenancy in MCP
How shared tool access in multi-tenant MCP servers turns structured prompts into a hidden attack surface