AI Governance & Compliance
AI Agent Governance vs Model Governance: What Differs
How AI agent governance differs from model governance: runtime controls on what a deployed agent may do, versus checks on the model itself.
Blog
Insights & updates — page 14
AI agent security, identity, governance, cost, and the engineering behind the control plane.
AI Strategy
Building Secure Multi-Agent Workflows
Secure multi-agent workflows with authentication at every hop, scoped delegation tokens, and content guardrails on every message—three patterns explained.
AI FinOps
Chargeback vs Showback for AI Agent Costs
A decision framework for choosing chargeback or showback to allocate AI agent costs internally, with the data prerequisites and failure modes of each.
Platform & Operations
Scoping MCP Tool Permissions: Least Privilege for Tools
Grant AI agents the minimum MCP tool access they need — no more. Learn how allow-lists, per-tool rate limits, and policy gates prevent blast-radius breaches.
AI FinOps
Board Reporting on AI Risk
A template and cadence for reporting AI agent risk to the board — exposure, control coverage, incidents, and regulatory posture — in board-appropriate language.
Platform & Operations
MCP Server Security Checklist (OWASP-Mapped)
An MCP server security checklist in seven domains, from authentication and tool permissions to tool poisoning and logging, mapped to the OWASP MCP Top 10.
AI FinOps
The AI Agent Vendor Security Questionnaire
A ready-to-use security questionnaire for AI agent and MCP tooling vendors, covering identity, isolation, audit, retention, subprocessors, and exit.
AI FinOps
Building a Total Cost of Ownership Model for AI Agents
A TCO model structure for AI agents that covers inference spend, tooling, integration, oversight labor, and failure cost — with a worked illustrative example.
Platform & Operations
What Is the Model Context Protocol (MCP)? A Practical Guide
MCP gives AI agents a standard way to call external tools and retrieve context. Learn what it is, how it works, and the security controls it needs.
AI FinOps
Making the AI Agent Business Case to a CFO
How to structure an AI agent business case for a CFO — fully loaded cost, risk-adjusted value, payback framing, and the questions engineering teams miss.
AI Governance & Compliance
UK AI Regulation: What Agent Operators Need to Know
The UK governs AI agents through existing sector regulators and cross-cutting principles, not a single AI Act — the control mapping operators need to prepare.
Platform & Operations
API-First: The Praesidia API Surface
Every platform action is an API call. Learn how Praesidia's OpenAPI-described surface lets you automate governance, integrate tooling, and extend the platform.
AI Governance & Compliance
AI Regulation in the UAE and Saudi Arabia for AI Agents
The UAE and Saudi Arabia govern AI agents through national strategy bodies, data-protection law, and free-zone rules rather than a single binding AI statute.
AI Governance & Compliance
Singapore's Model AI Governance Framework, Applied to Agents
Singapore governs AI through a voluntary framework and testing tools rather than binding law — the control mapping agent operators should build anyway.
Platform & Operations
Platform Operator Access: What Praesidia Staff Can Do
How Praesidia's platform operators are kept apart from your organization's roles, which changes take two of them, and what they leave in your audit trail.
AI Governance & Compliance
South Korea's AI Framework Act: A Compliance Primer
South Korea's AI Framework Act creates a binding risk-tiered regime for high-impact AI — the obligations agent operators should map to now.
AI Governance & Compliance
Japan's AI Law and Obligations for Agent Operators
Japan's AI law takes a light-touch, cooperation-based approach with no direct fines — here's what agent operators should still be able to prove.
Platform & Operations
Real-Time Events over WebSocket
A persistent, authenticated WebSocket stream replaces polling for agent tasks, workflow runs, and budget alerts — and what safe multi-tenant fan-out requires.
AI Governance & Compliance
India's AI Governance Direction for Agent Deployments
India governs AI agents through advisories, sector regulators, and data-protection law rather than a binding AI statute — the control mapping to prepare now.
AI Governance & Compliance
Cross-Border Agent Compliance for Multinationals
A framework for governing AI agents across jurisdictions with different instrument types and sorting axes, built around one control set instead of ten.
Platform & Operations
Health Probes and Readiness for AI Infrastructure
How to design liveness and readiness probes for AI services — what to check, how to avoid false positives, and what a production health surface looks like.
AI Governance & Compliance
Canada's AI Regulation and Your Agent Program
Canada's proposed federal AI statute did not become law; here's how agent operators should govern deployments using existing privacy and sector rules instead.
AI Governance & Compliance
Brazil's AI Bill and What It Means for Agent Operators
Brazil's proposed AI bill would add EU-style risk tiers and rights to LGPD's existing data rules — the control mapping agent operators should build now.
Platform & Operations
Webhooks and SIEM Forwarding
Stream AI agent events to your own systems and forward security signals to a SIEM — so agent activity is visible in the tooling your team already uses.