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.
Blog
Insights & updates
AI agent security, identity, governance, cost, and the engineering behind the control plane.
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 Agent Deployments
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
The Platform Admin Console
The platform admin console gives super-admins cross-tenant visibility, DLQ triage, two-person governance controls, and GDPR erasure on a separate access plane.
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.
AI Governance & Compliance
Australia's AI Safety Guidance for Agent Operators
Australia's Voluntary AI Safety Standard sets out guardrails agent operators should adopt now, ahead of proposed mandatory rules for high-risk AI.
Platform & Operations
What Is Tool Poisoning in MCP?
Tool poisoning hides malicious instructions inside an MCP tool's description or schema, manipulating agent reasoning without touching user-facing traffic.
Platform & Operations
Organization API Keys and Scopes
Issue, scope, and rotate organization API keys to give each integration only the access it needs — and limit blast radius when a credential is exposed.
AI Agent Security
What Is Context Window Poisoning?
Context window poisoning corrupts an agent's active reasoning session with false content that later steps treat as established fact.
AI Agent Security
What Is Agentic AI Security Posture Management?
Agentic AI security posture management continuously assesses agent identities, permissions, and guardrail coverage to find drift before attackers do.
Platform & Operations
Closing the Loop with a Product Feedback Board
Turn scattered user requests into ranked roadmap signal with a built-in feedback board that supports voting, moderation, and multi-tenant visibility.
AI Agent Security
What Is Agent Drift, and How Do You Detect It?
Agent drift is a gradual change in an AI agent's behavior over time. Learn the detection signals and controls that catch it before it becomes an incident.