Platform & Operations
Threat Model: Over-Broad MCP Tool Scope
Over-broad MCP tool permissions give attackers an amplified attack surface. Learn the failure modes and control classes that shrink the blast radius.
Platform & Operations
Platform & Operations
MCP servers, workflows, observability, and the control-plane engineering behind it.
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MCP Server Governance: The Complete Guide
The authoritative reference for bringing MCP servers under governance: security model, authentication, tool scoping, rate limits, monitoring, and hardening.
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Platform & Operations
How to Rate-Limit AI Agents
Design abuse-resistant rate limits for AI agents: choose the right unit, window shape, and enforcement scope to protect costs and downstream systems.
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
Evaluating AI Agent Observability Tooling
A practical guide to what AI agent observability must cover — cost, behavior, and policy compliance — and the key criteria for choosing the right tooling.
Platform & Operations
MCP Gateway: What to Look For
Evaluate MCP gateways on four criteria that actually matter: agent authentication, per-tool scoping, rate limits, and forensic audit logging.
Platform & Operations
Webhook Security: Signing and Verifying Events
HMAC signatures plus timestamp replay windows are the minimum bar for secure webhooks — here's why unsigned endpoints are dangerous and how to fix them.
Platform & Operations
Versioning and Rollback for AI Agents
Version AI agent workflows like code, diff changes between snapshots, and roll back safely when a new version causes regressions or runaway costs in production.
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.
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 pillars for fast incident triage.
Platform & Operations
Rate Limiting and Abuse Prevention for AI APIs
Request counts alone don't protect AI APIs. The layered controls — per-connection limits, spend caps, tool allow-lists, and trust gates — that actually work.
Platform & Operations
MCP Server Authentication: OAuth 2.1 vs API Keys
OAuth 2.1 vs API keys for MCP server auth: a practical comparison of security trade-offs, blast radius, and when to use each in production AI agent deployments.
Platform & Operations
Securing MCP Servers: An Authentication Guide
Most MCP servers ship with no built-in authentication. Learn how to add identity verification, per-caller tool scoping, and bidirectional guardrails to production MCP deployments.
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.
Platform & Operations
MCP Server Security: A Complete Checklist
A practical MCP server security checklist covering authentication, tool-level authorization, rate limits, forensic logging, and monitoring for agentic AI systems.
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 what security controls a production deployment requires.
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.
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.
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.
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 should look like.
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.
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.
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.
Platform & Operations
Slack and Multi-Channel Alerting
Route AI agent budget alerts, guardrail violations, and task failures to Slack and other channels with a reliable, tenant-isolated dispatcher pattern.
Platform & Operations
Unsubscribe, Suppression, and Preference Centers
Build a compliant email opt-out system with enforced suppression lists, per-category preferences, and automatic bounce handling — and keep your sender reputation intact.
Platform & Operations
Transactional Email and Templates
Reliable transactional email for AI platforms: how consistent templates, authenticated sending, and delivery safeguards keep security and billing flows intact.
Platform & Operations
Web Push Alerts for AI Operations
Browser push notifications deliver agent failures and budget alerts to operators the moment they happen — no open tab or email check required.
Platform & Operations
In-App Notifications That Cut Through
How a purpose-built in-app notification system keeps AI platform operators informed of critical agent events and alerts without noise or alert fatigue.
Platform & Operations
Auth Monitoring and Login Security
How to capture, aggregate, and act on authentication events in your AI platform so credential attacks surface in minutes, not days.
Platform & Operations
Visualizing AI Usage and Cost
Charts, dashboards, and cost breakdowns that make AI agent spend legible — from real-time KPIs to anomaly detection and per-team attribution.
Platform & Operations
Prometheus Metrics and Observability
Praesidia exposes a standard Prometheus metrics endpoint so you can monitor AI agent task throughput, latency, and spend using the tools your team already runs.
Platform & Operations
Global Search Across Your AI Estate
Search across agents, tasks, connections, workflows, and audit logs from a single entry point — find any resource in your AI estate instantly.
Platform & Operations
Saved Views for Faster Operations
Saved views let AI operations teams restore any dashboard state in one click — cutting investigation setup time and reducing filter errors under pressure.
Platform & Operations
Service Level Objectives for AI Services
Set measurable SLOs for task success rate, latency, and agent availability — then alert before users notice. A practical guide to SLOs for AI agent deployments.
Platform & Operations
Executive Reports for AI Governance
Turn AI activity into board-ready governance reports covering usage, cost, and risk — with scheduled delivery and export for compliance teams.
Platform & Operations
The Operations Dashboard for Your AI Estate
How an AI operations dashboard correlates agent counts, spend, trust scores, and security events in one view — and what to do when the numbers look wrong.
Platform & Operations
Advanced Analytics for AI Operations
Go beyond basic dashboards: model comparison, cost-per-team allocation, anomaly detection, and compliance analytics for AI operations teams.
Platform & Operations
Analytics and the Event Stream
How a per-interaction event model powers AI agent dashboards, cost attribution, and forensic investigation — without additional collection infrastructure.
Platform & Operations
Per-Org Feature Overrides and Canary Rollouts
Per-org feature overrides let you enable a capability for one tenant, observe real behavior, and expand gradually — without touching your deployment pipeline.
Platform & Operations
Plan Gating and Feature Flags
Plan-based feature flags gate capabilities by subscription tier while per-org overrides enable safe canary rollouts — no deployment pipeline changes required.
Platform & Operations
Real-Time Collaborative Workflow Editing
How real-time collaboration on AI workflow canvases works: CRDTs for conflict-free edits, durable working documents, presence, and per-edit authorization.
Platform & Operations
Bring Your Own Key: Managing LLM Configurations
Register your own LLM provider keys in one encrypted registry, route workloads to the right model, and eliminate key sprawl — without platform lock-in.
Platform & Operations
Registering and Governing MCP Servers
Register MCP servers centrally, enforce per-tool permissions and rate limits, and log every invocation for audit — governance that unmanaged connections lack.
Platform & Operations
Reusable Workflow Templates
Workflow templates let teams deploy proven agent pipeline patterns in one click — spreading best practices and simplifying governance across the organization.
Platform & Operations
Chat-to-Build: Generating Workflows with AI
Turn a plain-language description into a reviewable multi-agent workflow draft in seconds. Learn how AI generation works and where human review stays essential.
Platform & Operations
Triggering Workflows: Scheduled, Webhook, and Event
Learn the three ways to start an AI workflow — cron schedules, signed webhooks, and internal platform events — and which trigger fits each operational pattern.
Platform & Operations
Executing and Monitoring Workflow Runs
How workflow runs execute node-by-node, how per-run spend caps prevent cost overruns, and how to observe, pause, cancel, and retry runs in real time.
Platform & Operations
Designing AI Workflows on a Visual Canvas
A node-and-edge visual canvas lets you compose, version, and audit multi-step AI agent workflows before anything runs — catching gaps that code reviews miss.
Platform & Operations
Managing API Consumers with Applications
Register every API consumer as a named Application with scoped credentials and per-agent access controls — so you always know what each integration can do and can revoke it instantly.