Securing Agentic AI Blog

How CISOs Can Secure Agentic AI Using OWASP, FINOS, and NIST Together The question is no longer “Is our AI secure?” The real question is “Do we understand what our agents are doing right now, why they are doing it, and can we stop them if they go wrong?” Agentic AI systems plan, act, invoke tools, manage memory, and delegate work to other agents. When something fails, it is often not a classic vulnerability exploit. It is an autonomous decision that crossed a boundary no one

The OWASP Top 10 for Agentic Applications 2026 is not an evolution of application security. It is a recognition that many of the assumptions security teams rely on no longer hold. For decades, security models were built around deterministic systems. Applications accepted inputs, executed predictable logic, and produced outputs. Risk lived in discrete flaws, and security focused on preventing those flaws from being exploited. The Agentic Top 10 “quietly” declares that this mo

By Nadav Cornberg - Founder & CEO, Eve Security For years, product teams have followed the same slow, document-heavy pattern:  Product Managers write a PRD → Engineering interprets → Work begins. But PRDs often fail to capture the real nuance behind a product idea. Engineering spends cycles interpreting documents rather than building, and misalignments emerge late in the process. The result: slower delivery and reduced innovation. At Eve, we challenged this assumption, and re

By Sharon Eilon, Chief Revenue Officer, Eve Security The New Economics of AI Adoption AI is no longer experimental, it’s operational. Enterprises are deploying Agentic AI systems  that make decisions, interact with core business systems, and perform tasks autonomously. This shift is transforming productivity, but it’s also introducing a new form of runtime risk , one that traditional cybersecurity models were never designed to manage. According to Gartner , by 2026 over 60% o

Nadav Cornberg - Founder | CEO AI agents are rapidly moving from experimental tools to core operators inside organizations. They automate workflows, interact with internal systems, and even collaborate with other agents. But as their autonomy grows, so does a subtle and powerful set of risks, such that traditional API gateways and security tools simply weren’t built to detect. The core issue is behavior over time . AI agents don’t “break rules” in the same way humans or attac

AI is no longer a research project. It is happening now.  It’s in the boardroom, in the cube, on the desktop and in our workflows. It’s...

Eve Security’s combination of Agent-in-the-Loop and intent-based policy enforcement delivers the industry’s deepest observability and...