AI Agent Rules, Agentic Skills Risks, Bug Bounty Economics, and the Threat Extension Tool

AI agents are not reliably constrained by natural-language rules, as recent incidents show. This episode examines why model-level safeguards fail, what deterministic controls are needed, and how AI is reshaping security risks and economic incentives across agentic skills, browser extensions, and bug bounties.

■ AI Agent Governance
- Why probabilistic models treat rules as optional guidelines
- The need for deterministic, external controls and human accountability

■ OWASP Agentic Skills Top 10
- Malicious and overprivileged skills in marketplaces
- Supply chain and provenance gaps
- Natural language as an executable and its security implications

■ Bug Bounties and AI
- Increasing report volumes and lower payouts
- AI-generated low-quality reports and the burden on triage
- Value of human expertise in a changing researcher landscape

■ Threat Extension Tool
- Open-source static analysis, permission review, and threat intelligence integration
- AI-based contextual assessment and risk scoring for browser extensions
- Deployment options and customization for security teams

This episode is aimed at security professionals, researchers, and enterprise teams who want a clearer understanding of current AI-related attack surfaces, governance challenges, and practical tools for investigating malicious browser extensions.