Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Securing AI Part 2: What Makes Protecting AI a Unique Challenge? In part 2 of our "Securing AI" series, security experts Jamison Utter, Diptanshu Purwar, and Madhav Aggarwal discuss the unique and evolving challenges of protecting AI systems, particularly Large Language Models (LLMs). They review why traditional security methods, like firewalls and simple behavioral analysis, fall short in a world where AI is dynamic, data-driven, and unpredictable.

AI hallucinations aren’t just annoying—they’re a liability. From misinformation to misleading search results, one hallucinated answer can cause real harm to customers and reputations.

Gemini + Snyk MCP = Instant Code Security.

Take your work with you with the Egnyte Mobile App. Securely access, edit, share, and manage all of your files and folders directly from your phone or tablet. Whether you're in the office, working from home, or out in the field, Egnyte keeps you connected.

Snyk MCP Found Security Flaws INSTANTLY with Gemini...

Our recent webinar showed how our MCP server enables AI to apply the same technical analysis that expert threat hunters use by providing structured API access to security data and tools. In the demo, Claude identified WinINet.dll loaded in a suspicious process - a discovery that Eric Capuano, founder of Digital Defense Institute, called "a pretty smart move." This moment highlighted how AI can move beyond basic data collection to understand investigative context and connect technical findings to broader threat hypotheses.

AI chatbots are already answering medical queries. But what happens when the advice is wrong—and someone gets hurt? From liability to hallucinations, we’re on shaky ground.