Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

An AI agent with access to a customer’s brokerage account can begin executing trades. Not because the customer asked. Because someone, somewhere upstream, slipped a hidden instruction into a tool the agent loaded at startup. The agent is doing exactly what it was told. Just not by the customer. This is not a hypothetical. It is the attack class that financial security teams have exactly zero legacy tooling to catch and it is arriving precisely as banks accelerate their agentic AI ambitions.

Identity security has long been built around a simple premise: Authenticate a user, grant access, and trust that decision until their next login. While for many this model worked well enough when identities were primarily human and access patterns were predictable, that’s no longer the case for humans and definitely not the case for AI agents.

I've spent the better part of three years wiring AI into how my teams build and ship software. So when the news broke this week that the US government had effectively switched off an AI model, I was legitimately shocked. Not for one country. Not for one company. For everyone on the planet, all at once. Three days. That's how long Anthropic's Fable 5 and Mythos 5 models were available before the government ordered them shut off for everyone.

With these skills, any AI coding assistant, including Claude Code, Cursor, or Codex, can now scan code for secrets and provide guided remediation within developer workflows.

Many organizations still use the terms AI governance and AI security interchangeably. While they are closely related, they address fundamentally different challenges. Governance establishes accountability, defines acceptable use, manages risk, and helps organizations align AI adoption with business, legal, and regulatory requirements. Security focuses on understanding and controlling behavior.

AigentX, our autonomous web-application penetration testing agent, ran black-box against OWASP crAPI and confirmed 35 exploitable findings, 15 of them Critical, including a chain that turns a free signup account into uid=0(root) and a permanently forged admin identity. Every finding below carries a request, a response, and a reproduction. The full report is one click away. Most “AI found N vulnerabilities” write-ups never let you check the work. This one does.

Egnyte is excited to partner with StackAI—an enterprise AI platform trusted by organizations across financial services, life sciences, construction, and more—to bring AI-powered workflow automation directly to your content environment. For organizations that rely on Egnyte to store, govern, and share business-critical documents, this integration means you can now put that content to work with AI, without sacrificing security or governance.

Organizations are rapidly deploying autonomous and semi-autonomous AI agents that can make decisions, execute tasks and interact directly with systems without constant human oversight. That shift is driving investment, with the global agentic AI in cybersecurity market projected to grow to $322.39 billion by 2033. The surge represents enormous gains in efficiency and agility — and also signals a dramatic increase in risk.

You approved the AI tools. You funded the infrastructure. Now your teams want to deploy AI agents, and the ask sounds reasonable: automate the research workflow, connect the agent to the CRM, let it draft and send. The productivity case is clear. What is less clear is who owns the security exposure when that agent starts moving data across systems it was never explicitly authorized to touch. The answer, increasingly, is you.