Blog Cost Intelligence
The Hidden Cost (and Savings) of AI Agent Skills
The same agent capability can cost ~10,000 tokens as an MCP server or ~100 as a skill.
Blog
Analysis for the teams putting AI agents into production. When a disclosure, a protocol release or a new framework lands, we look past the headline to the structural shift underneath it, and say plainly what it means for how agents are secured and governed.
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Blog Discovery & Posture
The Golden Catalog Is a Comforting Fiction
Pre-approved agent template libraries optimize for control over a static asset, when the thing they're trying to control isn't static at all.
Blog Cost Intelligence
Why (and how) we're helping customers connect agent spend to the agent work driving it
Move from uncertainty to informed confidence on both risk and spend, with cross-platform spend aggregation and token-efficiency mapping.
Blog Threat Research
Refusal Training Has a Blind Spot: Skills Run Before the Model Reasons
A malicious skill called Clawsights ran a shell command before Claude Code's model ever reasoned about it.
Blog Observability & Detection
Context as the Attack Surface: A New Class of Agent Compromise
A new academic paper shows AI agents can be compromised without a single malicious instruction, just by corrupting what the agent trusts.
Blog Governance & Compliance
After AISI, Anthropic, and OpenAI: Where Agent Governance Needs to Go Next
Four disclosures in three weeks, each one showing something new, all pointing to the same governance requirements.
Blog Protocols & Interoperability
MCP 2.0: How the 2026-07-28 Release Changes Agent Governance in the Enterprise
What is new and what MCP 2.0 means for security teams
Blog Governance & Compliance
Confidently Shipping Agents After OpenAI-Hugging Face
What this incident shows about governing AI agents
Blog Company News
Where to Find Geordie at Black Hat 2026
Meet with the Geordie team at Black Hat USA 2026 in Las Vegas, August 1–6
Blog Discovery & Posture
Six Practical Security and Governance Steps for Adopting Claude Cowork
How to adopt Cowork quicker using built-in configurations alongside contextual visibility and controls
Blog Remediation
The harness: three ways to secure and govern the operational infrastructure of AI agents
Matching security and governance to teams moving fast on AI agent deployments.
Blog Observability & Detection
Securing AI Agents Means Following Behavior, Not Boundaries
A practical view of agent security from our work on OWASP's latest guidance.
Blog Protocols & Interoperability
Geordie Extends Microsoft Partnership to Support Agent Control Specification
Helping customers keep agent controls consistent as their infrastructure evolves.
Blog Company News
Geordie AI Raises $30M Series A as Enterprises Race to Govern Autonomous AI Agents
Henry Comfort, CEO and co-founder of Geordie AI, on raising a $30M Series A and what it means for enterprises racing to govern autonomous AI agents.
Blog Observability & Detection
Prompt Injection Isn’t the Main Problem in AI Agent Security
Prompt injection gets most of the attention in AI agent security.
Blog Company News
Where to Find Geordie AI at RSAC 2026
Meet with the Geordie AI team at RSAC 2026 in San Francisco
Blog Threat Research
Claude Desktop Extensions RCE Vulnerability: A Technical Analysis of Configuration Risk and Agentic AI Governance
A remote code execution vulnerability in Claude Desktop Extensions received a CVSS 10.0 score this week.
Blog Discovery & Posture
AI Agent Guardrails Explained: What They Cover and What They Don't
Guardrails are often treated as a universal safety layer for AI agents, but they're not.
Blog Observability & Detection
Agentic AI Governance: Why MCP Gateways Fall Short
The autonomous nature of AI agents requires purpose-built agentic AI governance platforms.
Blog Governance & Compliance
AI Agent Risk: What Executives Need to Know to Innovate Safely and Confidently
AI Agents aren’t just software.
Blog Governance & Compliance
Governing AI Agents: Best Practices to Scale Safely
Building on research from Berkeley, this article outlines five barriers to enterprise AI adoption and the AI governance best practices to overcome them with visibility and accountability.
Blog Protocols & Interoperability
Building AI Agents? Here’s What Developers Want Leaders to Know
Building AI Agents promises speed and scale, but developers know the pitfalls.
Blog Governance & Compliance
Enterprise AI Governance: A Practical Roadmap to Scale AI Agents
Enterprises are experimenting with AI agents, but scaling safely requires enterprise AI governance.
Blog Protocols & Interoperability
From Connectivity to Collaboration: APIs, MCPs, and A2A in Agentic Plans
APIs, MCPs, and A2A form the foundation of AI Agent systems, yet their roles are often fragmented.
Blog Observability & Detection
Making AI Accountable: How Explainability and Observability Meet Regulation and Trust
AI adoption is accelerating, but trust and accountability are essential.
Blog Protocols & Interoperability
How The Next MCP Release Shapes Agentic AI in Enterprise
What the next Model Context Protocol (MCP) release means for enterprise security and risk teams running AI agents in production.
Blog Remediation
Moving Beyond Static Prompts to Living Playbooks: What ACE Means for Enterprise AI Governance
ACE moves enterprise AI governance beyond static prompts to living playbooks.
Blog Discovery & Posture
OpenClaw and the Emergence of Personal AI Autonomy Infrastructure
Why OpenClaw matters less as a vulnerability story and more as a signal that personal autonomous agents have arrived.
Blog Observability & Detection
Rethinking Security: The Limits of Endpoint Controls in an AI Agent World
Endpoint controls like EDR and XDR remain critical to enterprise defense, but they weren’t built for AI Agents.
Blog Governance & Compliance
Seeing the Risks Clearly: How Leaders Can Evaluate AI Investments with Confidence
AI adoption is accelerating, but not every investment is safe.
Blog Observability & Detection
The New Attack Surface: Why AI Agents Need Taint Analysis
As AI Agents evolve into autonomous actors, securing them requires techniques beyond identity and access controls.
Blog Observability & Detection
Unlocking Safe Innovation: Why AI Agents Must Be Transparent
AI Agents can’t be black boxes.
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