Identity & Access
Governing LlamaIndex Agents: Data Access and Retrieval
LlamaIndex builds and queries indexes over your documents. Authorization for who can query what is the layer around it — here is where that boundary sits.
Blog
Insights & updates — page 12
AI agent security, identity, governance, cost, and the engineering behind the control plane.
AI Strategy
Self-Hosted vs Managed AI Governance
Self-hosted AI governance gives full data residency control; managed shifts operational burden to the vendor. How to choose for your team.
Identity & Access
Governing Haystack Agents in Enterprise Search
Haystack pipelines power enterprise search and RAG agents — but a retriever without document-level ACL enforcement will surface what the index holds.
AI Agent Security
Governing Flowise and Langflow Visual Agent Builders
Flowise and Langflow turn LangChain-style chains into drag-and-drop flows. The governance gap is the same as code-first LangChain, plus a review gap.
AI Governance & Compliance
Governing Dify and Low-Code Agent Platforms
Low-code platforms like Dify let anyone assemble an agent with tool access in minutes. That speed is the governance problem, not a side effect of it.
Platform & Operations
How to Monitor MCP Tool Calls
Gain full visibility into every MCP tool call an AI agent makes — with attribution, policy decisions, and cost data needed for security and compliance.
Platform & Operations
Orchestration Patterns for Multi-Agent Systems
Compare pipeline, hub-and-spoke, and blackboard orchestration patterns for multi-agent AI — with security, cost, and auditability trade-offs for each.
AI Agent Security
How to Govern CrewAI Agents: Controls for Crew-Based Systems
CrewAI orchestrates role-based agent crews in-process. Here is what it controls, where the governance gap sits, and what to add externally.
AI Strategy
Choosing an Agent Framework: Governance Criteria That Matter
Agent frameworks are built to orchestrate, not to govern. Evaluate identity, authorization, spend, audit, and sandboxing separately before you commit to one.
AI Agent Security
Agent-to-Agent Protocols and Interoperability
How to design safe A2A interoperability: agent cards, secure discovery, scoped credentials, and cross-org trust — in under 8 minutes.
AI Governance & Compliance
Texas TRAIGA: A Compliance Checklist for AI Operators
Texas's TRAIGA is already in force and applies broadly, with no size threshold — a practical checklist for teams operating AI agents that reach Texas users.
AI Governance & Compliance
PCI DSS and AI Agents Touching Cardholder Data
How PCI DSS's core requirements apply when an AI agent touches cardholder data, and the controls that keep it out of scope where possible.
AI Governance & Compliance
Human-in-the-Loop Approvals for High-Risk Agent Actions
Human-in-the-loop approvals pause AI agents before high-risk actions, preserve throughput with async queues, and build an auditable approval trail.
AI Governance & Compliance
NIS2 Obligations for AI Platform Operators
How the EU's NIS2 Directive's risk management, incident reporting, and supply-chain duties apply to organizations operating AI agent platforms.
AI Governance & Compliance
New York's RAISE Act: Obligations for Frontier AI Developers
New York's RAISE Act targets frontier-model developers with safety-framework and incident-reporting duties — who it reaches and what to build regardless.
AI FinOps
Cost Control for LLM Applications
Where LLM costs hide in agentic applications, how to attribute them per agent and run, and the reservation-based enforcement that stops overspend at dispatch.
AI Governance & Compliance
Illinois AI Employment Law and Hiring Agents
Illinois regulates AI in employment decisions and AI-analyzed video interviews — what hiring agents need to satisfy notice, bias, and human-review duties.
AI Governance & Compliance
HIPAA for AI Agents: Handling PHI Safely
How HIPAA's Security Rule and BAA requirements apply to AI agents that read, generate, or transmit protected health information.
Platform & Operations
Observability for AI Agents: Logs, Metrics, and Traces
How logs, metrics, and distributed traces apply to AI agents—what to instrument, where costs hide, and how to connect all three for fast incident triage.
AI Governance & Compliance
The GLBA Safeguards Rule Applied to AI Agents
How the GLBA Safeguards Rule's written information security program requirements apply when AI agents access customer financial data.
AI Governance & Compliance
FERPA and AI Agents in Education
How FERPA's consent, disclosure, and recordkeeping requirements apply when AI agents access student education records in K-12 or higher education.
Platform & Operations
AI API Abuse Prevention: Why Rate Limits Are Not Enough
Request counts alone do not stop abuse of AI APIs. The layered controls that do: per-connection limits, spend caps, tool allow-lists and trust gates.
AI Governance & Compliance
California SB 53 and Frontier AI Transparency, Explained
California's SB 53 requires frontier-model developers to publish safety frameworks and report incidents — here is the scope and the control work it implies.
Identity & Access
Token Security Alternatives for Non-Human Identity
Token Security discovers and secures non-human identities across the enterprise estate. What that covers, and what agent runtime governance adds.