Teel Security Blog

• AI Agent Guardrails: A Practical Security Stack for Inputs, Outputs, and Tools — What AI agent guardrails cover in practice: input, output, and tool controls, and why production agents still need session-native runtime security for multi-turn intent.
• Why AI Customer Support Agents Are the Next Attack Surface — AI support agents can reset passwords, issue refunds, and change accounts. Here's why traditional guardrails miss multi-turn attacks that exploit that access.
• AI Agent Runtime Security vs AI Guardrails: What's the Difference? — AI guardrails inspect individual prompts. Autonomous agents need session-wide runtime security. Learn how the two layers complement each other and where Teel Security fits.
• AI Social Engineering: When AI Support Agents Become Confused Deputies — Attackers manipulate helpful AI support agents into performing privileged actions like resetting passwords or changing recovery emails, all without jailbreaks or malicious prompts. How session-native security catches the confused deputy problem.
• AI Agent Security: Preventing AI Inference Abuse and Goal Drift — Authorized users can steer public-facing agents off-purpose, consuming tokens and budget without a single malicious prompt. How session-native intent analysis catches AI inference abuse before costs escalate.
• The Stateless Gap: Why 64% of Multi-Turn Attacks Evade Traditional AI Security — Most AI security tools inspect one message at a time. Cisco Foundation AI research shows 64% of multi-turn attacks evade them. Here's how Contextual State Poisoning exploits the gap between turns.
• AI Agent Security: Understanding Agentjacking and MCP-Based Attacks — How attackers manipulate AI agents through MCP to perform harmful actions within legitimate permissions, and why intent drift is the missing security signal.