Threat Research

As enterprises adopt GenAI, LLM chatbots are becoming core user interfaces—but they introduce hidden security risks. Our research reveals how a known vulnerability in Jinja2, used with Flask, can be exploited through prompt injection to achieve remote code execution and reverse shell access. This highlights a broader class of application-layer vulnerabilities in GenAI stacks. Nestria helps enterprises detect and defend against these AI-native threats before they’re exploited.

Agentic AI is transforming finance—from trading to compliance—but it's introducing new risks CISOs can't ignore. Shadow agents, model tampering, and tool misuse are creating unseen vulnerabilities in BFSI systems. Traditional security tools fall short in this dynamic, autonomous landscape. This blog explores the key threats and shows how Nestria provides real-time protection, auditability, and compliance controls to secure AI agents before they become a liability.

AI agents are powerful—but dangerously exposed. As they reason, act, and collaborate, new threats emerge: spoofing, prompt injection, tool abuse, and more. Traditional security won’t stop them. Discover the top 10 ways your agents can be hacked—and how Nestria AI protects them at runtime, in memory, and across your entire AI stack.