Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why Built-In AI Guardrails Aren't Enough | A10 Networks Are built-in cloud guardrails enough to secure your enterprise AI applications? In this segment, Jamison Utter and Arjoyita Roy discuss why relying on basic, provider-default security settings creates a false sense of security.

In this session at CyBe AI Summit 2026, NIMHANS Convention Centre in Bengaluru, our Founder & CEO Mr. Anirban Mukherji discussed current AI trends, geopolitical and sovereignty risks tied to frontier LLMs, and practical implementations for India. He addressed how AI-driven automation like delivery robots and drones can disrupt jobs, why governments and defense agencies require air-gapped or on-prem solutions, and how cost and restricted access to frontier models create inequity in AI adoption.

Autonomous AI agents writing and executing code at machine speed present an urgent compliance challenge for modern software organizations. As global regulations tighten, engineering leaders must establish clear governance layers over agentic workflows, external tool calls, and Model Context Protocol integrations to ensure full accountability. In this session, Mend.io experts Asaf Saar and Ben Goldberg unpack the intersection of AI compliance, software supply chain security, and enterprise risk management. Learn how to bridge the accountability gap without sacrificing development velocity.