{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Embracing Digital Transformation","title":"#373 AI Security Needs Behavioral Control, Not Just Pattern Matching","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/32b92e70\"></iframe>","width":"100%","height":180,"duration":2830,"description":"AI is moving faster than most security controls can keep up with—and that’s exactly why Dr. Darren speaks with Yaqoob Rahim, founder of Polygraph AI, about why AI security now needs **behavioral control**, not just pattern matching. They unpack the real risks behind copilots, agents, and shadow AI, and what leaders can do to protect data without slowing innovation.\n\n## Key Takeaways\n- **AI security must evolve from detection to behavior control.** Traditional pattern matching alone can’t govern agentic AI or contextual workflows.\n- **Human behavior remains the biggest risk.** Most breaches still begin with phishing, negligence, or unsafe data handling.\n- **Shadow AI is already everywhere.** Teams are using multiple AI tools, often without full visibility from IT or security leaders.\n- **Context matters more than regex.** AI understands meaning, language shifts, and workflow intent—so security controls need to do the same.\n- **Agents need guardrails.** If AI agents can access systems or data, organizations need gateways, policies, and clear access boundaries.\n- **Adoption is inevitable, so governance must catch up.** The goal isn’t to block AI—it’s to secure it, measure it, and use it responsibly.\n\n## Chapters\n- **00:00** Introduction to AI security and behavioral control\n- **02:10** Yaqoob Rahim’s background story\n- **06:05** Why human behavior is the real cybersecurity risk\n- **10:20** Shadow AI in enterprise and government workflows\n- **15:30** AI agents, access controls, and data leakage concerns\n- **20:45** Why pattern matching fails in contextual AI environments\n- **26:10** Building secure AI gateways and low-latency guardrails\n- **31:00** Adoption, training, and the future of AI governance","thumbnail_url":"https://img.transistorcdn.com/IRrW2aizIeoZDn3gKLEax-JYQ8V_WzaFpHdgsslDx3k/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jM2Ji/MDk1OTdiYzA4ZWMw/NWNlOTY0N2RhMWQ3/YmY5Mi5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}