Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As AI adoption accelerates, a new security risk is emerging from inside organizations, driven not by attackers, but by well-intentioned employees. Across the business, teams are rapidly building AI-powered applications, workflows, and automations using low-code/no-code platforms, custom scripts, and MCP servers.

Garrett Hamilton, CEO & Co-Founder of Reach, joined Bryce Carter, CISO for the City of Arlington, at the NTX ISSA Lunch & Learn in Plano, TX — a practical, operator-focused discussion with the local security community.

Cloud environments have reshaped the way applications are built and the way attackers break in. Traditional security strategies centered on malware and compromised endpoints are no longer enough. In today’s cloud, adversaries increasingly rely on valid credentials, identity abuse, and native cloud capabilities to move laterally and establish persistence without ever deploying malware.

AI skill gaps are a real conversation right now, and Chris Cochran, Field CISO and VP of AI Security at SANS Institute, breaks it down into three practical buckets for defenders who want to stay ahead. Start by figuring out what you can offload to AI: summarization, enrichment, repetitive tasks. Save the deterministic decisions for humans. Then learn how to secure AI itself: Finally, understand governance. Not just the technical side, but what your company is actually trying to do with AI. Security practitioners who can enable the business, not just protect it, become irreplaceable.