Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

If you’ve deployed your first AI agent, then you must have given it access to your CRMs, ticketing systems, and your cloud storage. This AI agent is programmed to run 24/7, make decisions, call external APIs, and trigger actions (without a human in the loop). Now, answer these questions: If you cannot answer these questions, then you have an agentic AI identity issue. Traditional Identity and Access Management (IAM) was built for service accounts with static API keys and users with usernames.

A security engineer spends three weeks building an AI agent that triages phishing reports. The demo lands well. Then it hits the security review queue, and the questions start: Which tools can it call? What happens if it misclassifies? Who approves an account lockout at 2 a.m.? Where are the logs? Three more weeks pass, and the agent is still sitting in staging. This is the pattern most teams run into. The agent works, but the governance story doesn't.

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.

Phishing attacks are evolving faster than traditional training programs can keep up. Advances in AI — including generative tools — are making attacks more dynamic, personalized, and harder to detect. At the same time, agentic AI for phishing security training is reshaping how programs improve, enabling them to adapt to user behavior and shifting risk in real time.

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.