Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In this video, we explore the growing security risk of prompt injection in large language model (LLM) applications. As AI becomes embedded in more products, new vulnerabilities emerge, especially through natural language manipulation. We break down how LLMs work, the importance of system prompts, and demonstrate five real-world prompt injection techniques used to extract sensitive information or bypass safeguards. You’ll see live examples using different models and learn why newer models are more resilient, but still not immune.

Is your security stack ready for the agentic revolution? As we move into 2026, Real-Time AI Security has become the new frontier for enterprise protection. In this episode of AI on the Edge, Amar (CEO of Protecto) sits down with security veteran and investor Anand Tangiraja to discuss why traditional "shift left" strategies and legacy tools are failing in the face of autonomous agents.

Humair from Cloudflare walks through the details of how Cloudflare's AI Security for Apps secures AI-powered applications. Learn how Cloudflare can discover AI/LLM endpoints and detect and mitigate AI-specific threats like PII exposure, unsafe/toxic content, prompt injection and jailbreak. Learn more.

AI agents are tireless, highly capable, eager to please, but difficult to manage. George Chamales (CriticalSec) and Josh Rector (Ace of Cloud) unpack the identity and access challenges posed by agentic AI. How do you verify it was the right agent, doing the right action, approved by the right person? How do we bound, constrain, govern agentic behavior? Ultimately, the same frameworks built for human identity and access should be applied to agents.

One AI agent didn’t have permission to fix an issue… so it asked another agent with access to do it. Another? It rewrote the security policy to achieve its goal. This isn’t theory. This is happening. George_Kurtz sat down with DivesTech to discuss why AI needs guardrails.