Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In AI Pilot Mode? Learn How to Scale AI Securely Without Shadow IT

You’ve seen the demos. You’ve run the pilots. Maybe you even deployed something that works, but is it scaling? Are your users utilizing it on a daily basis, or as intended? Or is it quietly gathering dust next to the last three tools that were supposed to change everything? Scaling AI the way most vendors describe it—connecting more tools and piping more data into more systems—doesn’t lead to progress or productivity. Rather, it results in additional risk.

What Is AI Governance? A Practical Framework for Security Teams

The speed of AI integration is rapidly outpacing corporate governance capabilities. Generative AI is now embedded in development workflows and business applications, while agentic AI can make decisions and take actions with limited human intervention. That governance gap is becoming harder to ignore. Gartner predicts that more than 40% of agentic AI projects will be canceled by the end of 2027 because of escalating costs, unclear business value, or inadequate risk controls.

Why AI Coding Agents Keep Writing Broken Access Control

AI coding agents produce authorization logic that compiles, passes review, and enforces the wrong policy. Broken access control ranks first in the OWASP Top 10:2025, where 100% of applications tested showed some form of it, across 1,839,701 recorded occurrences, the highest count of any category on the list. One part of that category is also the part that pattern-based scanning was never built to reach.

Apono Partners with Databricks to Govern Privileged Access Across the Lakehouse

Databricks has become the data and AI platform of record for a large and growing share of the enterprise market. Unity Catalog gives teams unified governance over data assets, AI models, and agentic workflows, controlling what exists, who can use it, and what policies apply.

NIST AI Agent Authorization: Five Asks Mapped to Kubernetes

NIST has published no AI agent authorization standard, and nothing in its February 2026 draft gives an auditor a control to test. What the NCCoE did publish is more useful to a CISO with an audit on the calendar: five areas of interest that read like an assessor’s question list. Together they ask which agent acted, on whose behalf, under what authority, and with what record. A Kubernetes cluster has a primitive it can point to for each area.

Agentic AI Security Risks, Ranked by Recovery Cost

The board wants to know which AI agent risk to fund first, and a likelihood score cannot answer it. No incident survey gives base rates for agents on your architecture, and an agent can take a different path on the same input. What a CISO can estimate is what each risk would cost to recover from: the work to detect it, scope it, revoke the authority it used, and prove what happened. Ranked on that cost, unexpected code execution drops toward the bottom.

Zero Trust for AI Agents: What to Verify When There Is No Session

The agent that worries you is authorized. It holds a service account you provisioned, calls tools you approved, and reaches destinations someone signed off on. Zero trust asks two questions at every decision point, who is this and what are they allowed to do, and an agent redirected by trusted input answers both correctly every time. For a person those questions fire at a session boundary, where context gets re-checked. An agent on Kubernetes has no such boundary.

Agentic AI Security Platforms: What Agent Logs Miss

An agent’s logs are written by the agent. Every framework log, trace span and tool-call record that an agentic AI security platform ingests comes from the process being watched, or from a gateway that sees only what that process routes through it. When a trusted prompt coerces an agent into misusing a permission it already holds, the record shows a normal tool call, because from inside the process it was one. Running more analysis on that record returns the same answer faster.

Ep. 83 - Anthropic's CISO Guide to Agentic AI: Your Next Insider Threat Is an AI Agent

An AI agent that drifts from your intent looks exactly like an insider attack: legitimate credentials, sanctioned tools, plausible actions, at machine speed. In this episode, we break down Anthropic's "Zero Risk Isn't the Job" CISO guide: a four-question review framework, seven vendor-neutral controls, and why egress allowlisting is the strongest defense against prompt injection. Plus: the Claude Opus 4.5 upgrade that had an incident-response agent recruit another agent, and why agentic AI needs continuous adversarial exposure validation.