AI Strategy
AI Control Plane vs API Gateway: What's the Difference?
An API gateway manages traffic; an AI control plane governs agents. Learn the five critical gaps gateways leave open and what a control plane adds.
Blog
Insights & updates
AI agent security, identity, governance, cost, and the engineering behind the control plane.
AI FinOps
Threat Model: Runaway Agent Spend
Loop-and-burn failures drain AI budgets fast. Learn the blast radius, five root conditions, and the layered controls that stop runaway spend before the invoice.
AI Strategy
How to Choose an AI Agent Governance Platform
A criteria-driven framework for evaluating AI agent governance platforms across identity, guardrails, cost controls, audit trails, and multi-agent trust.
AI Agent Security
Securing the AI Agent Supply Chain
Provenance, attestation, and runtime verification protect AI deployments from compromised third-party agents and tools — and how supply chain security works.
AI Governance & Compliance
ISO/IEC 42001 for AI Management Systems
ISO/IEC 42001 sets requirements for AI management systems. See what the standard expects and how agent governance controls map directly to its Annex A clauses.
AI Governance & Compliance
Agent Lifecycle Management: Draft to Production
Most agents go from a developer's laptop to production with no promotion gate. Learn the lifecycle stages worth defining, what each gate should check, and how to keep promotion fast enough to use.
AI Governance & Compliance
An AI Agent Compliance Checklist for 2026
A practical AI agent compliance checklist covering identity, tamper-evident audit trails, GDPR erasure, EU AI Act risk tiers, and vendor due diligence.
AI Agent Security
Threat Model: Indirect Prompt Injection
Indirect prompt injection hijacks tool-using AI agents through poisoned external content. Learn the attack vectors and layered controls that contain them.
AI Governance & Compliance
Policy as Code: Versioning Guardrails and Agent Configuration
Guardrails and agent configuration are security controls, so they need the change discipline of security controls. Learn how to version policy, review changes, and prove which version was in force.
AI Governance & Compliance
A Glossary of AI Governance and Agent Security Terms
Precise definitions of AI governance and agent security terms — guardrail, control plane, A2A, attestation, trust score — for specs and vendor evaluations.
AI Governance & Compliance
Applying the NIST AI RMF to AI Agents
Apply the NIST AI RMF to AI agents: map GOVERN, MAP, MEASURE, and MANAGE to controls like agent inventories, threat models, audit trails, and revocation.
AI Agent Security
Insider Threat in the Age of AI Agents
Agents give insiders leverage: bulk access at machine speed, plausible deniability, and attribution that stops at a service identity. Learn what changes and which controls close the gap.
Platform & Operations
Guardrail Nodes: Inline Policy in Agent Workflows
A guardrail node placed in a workflow graph makes policy visible where it applies. Learn what these nodes should do, the silent no-op failure to avoid, and how they relate to connection-level enforcement.
AI Governance & Compliance
An AI Governance Maturity Model
Five stages of AI governance maturity for agents, from ad-hoc to optimized, with concrete indicators and the specific work needed to advance each stage.
AI Agent Security
System Prompt Extraction: What Leaks and Why It Matters
System prompts leak. Treat them as public and the damage is bounded; treat them as secret and extraction becomes a breach. Here is what attackers get and how to structure prompts so it does not matter.
AI Agent Security
Securing LLM Provider API Keys
A leaked LLM provider key is a metered credential an attacker can bill against and a path to your prompt traffic. Learn how these keys leak, why per-agent keys are the wrong fix, and what proxying buys you.
AI Strategy
Measuring the ROI of AI Agents
Practical frameworks for quantifying AI agent ROI — cost per outcome, time recovered, and deflection rate — so you can move beyond vanity usage metrics.
Identity & Access
Threat Model: Agent Credential Theft
How AI agent credentials get stolen and abused, and the controls that limit blast radius: credential scoping, short lifetimes, rotation, and fast revocation.
AI Agent Security
Model Extraction and Inference Attacks Against Agents
Attackers can extract behavior, infer training data membership, and reconstruct sensitive context through query access alone. Learn which of these threats are real for agent deployments and what mitigates them.
AI FinOps
The Cost-Control Architecture for AI Agents: Budgets and Quotas
The full cost-control architecture for AI agents: how budgets, quotas, rate limits, and reservation-based enforcement fit together into one system.
Platform & Operations
Agent Task Marketplaces and Escrow
When agents post and accept paid work across organizations, the payment mechanism becomes a security surface. Learn the task lifecycle, where escrow protects each side, and the leaks to design out.
AI Governance & Compliance
Staged Guardrail Rollout and Shadow Mode
Enabling a guardrail in blocking mode without measuring it first is how teams end up disabling guardrails entirely. Learn the shadow-to-enforce progression and the metrics that justify each promotion.
Identity & Access
SSO and SCIM: Enterprise Identity for AI Tools
SSO and SCIM give enterprises full control over AI tool access — federated authentication plus automated lifecycle management that keeps access current.
Platform & Operations
Building Golden Datasets for Agent Evals
The dataset is the hard part of evaluation, not the harness. Learn how to source cases, structure expectations for non-deterministic systems, version the set, and keep it from rotting.