Experts discuss the rise of LLMjacking, where stolen AI API keys lead to massive financial losses. They explore how AI is reshaping adversary simulations, the enduring need for human expertise in the loop, and the debate over accelerating security patch timelines in the face of AI-powered threats.
AI agents offer immense power but come with significant security risks. This guide outlines a comprehensive architecture for securing AI agents using DevSecOps, robust access controls, threat monitoring, and a principle-of-least-privilege approach to mitigate dangers like prompt injection and data leaks.
A panel of cybersecurity experts discusses the security risks of the rapid adoption of AI agents, the "move fast and break things" development culture, the lessons from the Notepad++ supply chain breach, and the professionalization of ransomware by groups like DragonForce.
Explore the shift from reactive to predictive DevSecOps with Akshay Mittal. This discussion covers how AI-Augmented DevSecOps and Agentic Workflows are creating self-healing systems, the critical role of Explainable AI (XAI), and a four-layer architecture for building scalable, enterprise-grade AI solutions.
Akshay Mittal discusses the evolution of enterprise AI, focusing on the crucial shift from reactive to predictive security through AI-augmented DevSecOps. He explores how to productionize agentic AI workflows using AIOps and Kubernetes, and emphasizes the non-negotiable need for explainable AI (XAI) in critical systems.