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Preventing Rogue Agents: Implementing Real-Time Tool Call Interception

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Preventing Rogue Agents: Real-Time AI Tool Call Interception by AXEC Preventing Rogue Agents: Implementing Real-Time Tool Call Interception Date: 31 August 2026 Executive Summary: The proliferation of AI agents capable of autonomous action presents significant new attack vectors. Unchecked tool calls by AI agents, whether due to malicious prompting, unintended behavior, or logical flaws, can lead to unauthorized data access, system modification, or privilege escalation. To mitigate this critical business risk, organizations must implement a real-time, policy-driven tool call interception layer. This security control acts as a mandatory gateway, enforcing granular authorization policies and providing comprehensive auditability for every agent action. The decisive security decision is to integrate such an interception mechanism as a foundational element of your AI agent infrastructure, ensuring all agent-initiated actions are explicitly...
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AI Skills: What They Are, How to Write Them, and Where They Fit

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AI Skills: What They Are, How to Write Them, and Where They Fit Most people try to improve their AI results by writing longer prompts. That can help once. But if you do the same kind of work every week, there is a better place for those instructions: an AI skill. A skill turns a good set of instructions into a small, reusable package. You can use it to write blog posts, review a spreadsheet, prepare meeting notes, or guide a coding agent through a project. Write it once, then stop rebuilding the same process in every chat. This guide explains what skills are, how to write one, and how they work in tools such as Claude and OpenCode. What is an AI skill? An AI skill is a folder containing instructions for a repeatable job. The required file is called SKILL.md . It usually has two parts: YAML frontmatter that gives the skill a name and description. Markdown instructions that explain how the agent should do the work. A skill can also include scripts, reference documents, temp...
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Securing MCP Gateways: A Step-by-Step Guide to Tool Governance

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Securing MCP Gateways: AI Tool Governance for Robust Security - AXEC Securing MCP Gateways: A Step-by-Step Guide to Tool Governance Date: 30 August 2026 Executive Summary The rapid adoption of Multimodal Conversational Platforms (MCPs) and AI agents brings unprecedented efficiency but also introduces complex security vulnerabilities, particularly around tool invocation. Uncontrolled access to external tools via these gateways creates severe risks: data exfiltration, unauthorized system access, privilege escalation, and critical compliance failures. These threats directly jeopardize an organization's financial stability, regulatory standing, and brand reputation. The critical security decision for every organization leveraging MCPs is to implement a robust, centralized tool governance framework. This framework must enforce explicit authorization policies, ensure real-time policy enforcement at the gateway, a...
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Latest Agentic AI, AI Agents & Agent Governance News – 30 August 2026

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🤖 Top Agentic AI, AI Agents & Governance Articles Your twice-weekly roundup of the latest in Agentic AI , AI agents , and agent access, permission, governance & audit — covering agent frameworks, MCP/tool-use, agent identity, non-human access control, AI governance and agent security. Gemini API Managed Agents: 3.6 Flash, hooks, and more Source : Google AI Blog Managed Agents Gemini 3.6 Flash, Hooks and Triggers How Much Memory Does Your Agent Actually Need? Source : Hugging Face Enterprise AI's real risk isn't autonomous agents. It's the complexity between them. Source : VentureBeat AI Presented by Gravitee Agent complexity is the insidious shadow lurking inside enterprises right now that needs a light shone on it. That’s because enterprises don't deploy a single agent and ...
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How to Build an Allow/Disallow Policy Framework for AI Agents

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How to Build an Allow/Disallow Policy Framework for AI Agents - AXEC How to Build an Allow/Disallow Policy Framework for AI Agents Date: 29 August 2026 Executive Summary Uncontrolled AI agent actions represent a significant business risk, potentially leading to data breaches, compliance violations, operational disruptions, and reputational damage. As AI agents gain more autonomy and access to tools, organizations face an urgent imperative to establish precise controls over what these agents can and cannot do. This article provides a technical deep-dive into building a robust allow/disallow policy framework, empowering CISOs, AI engineers, and security architects to make the critical security decision to implement fine-grained authorization for AI agent tool-calls. Proactive adoption of such frameworks is essential to harness the power of AI safely and maintain regulatory compliance. Table of Contents Unders...
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