AI Governance & Compliance
Tenant Isolation and Row-Level Security
How app-layer org scoping and database row-level security combine to prevent cross-tenant data leaks in multi-tenant AI platforms—and where each layer fits.
Blog
Insights & updates — page 15
AI agent security, identity, governance, cost, and the engineering behind the control plane.
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.
AI Governance & Compliance
Content Guardrails for AI Agents
How content guardrails enforce policy on every AI agent interaction—blocking, redacting, or escalating PII, secrets, and violations at the trust boundary.
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
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
The three ways to start an AI workflow—cron schedules, signed webhooks, and 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.
AI Agent Security
Inside the Agent Management Console
Register, configure, version, and debug every AI agent in your fleet from a single governed control surface with full audit trails and per-agent access control.
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 can see and revoke what each can do.
AI Agent Security
Agent-to-Agent (A2A) Communication, Governed
Governed A2A communication makes every inter-agent call authenticated, scoped, and audited — with agent cards, least-privilege identity, and guardrails.
AI Agent Security
Governed Connections Between Agents and Resources
Turn implicit agent-to-resource links into policy-bound connections with rate limits, spend caps, trust gates, and guardrails enforced at dispatch.
AI Agent Security
Securely Sharing AI Agents Across Organizations
Share AI agents with partner organizations under explicit policies — request caps, expiry, instant revocation — without handing over credentials.
AI Agent Security
Cross-Org Agent Federation with Trust Manifests
How signed trust manifests let organizations share AI agents across boundaries without shared secrets—each delegation explicit, verifiable, and revocable.
AI Agent Security
Trust Scores and Attestations: Which Agents to Trust
Learn how agent trust scores combine behavioral signals, compliance state, and cryptographic attestations into an auditable dispatch gate for AI agents.
AI FinOps
Reliable Billing: Stripe Webhooks, Reconciliation, Dunning
Signed webhook verification, idempotent handlers, reconciliation, and a dunning state machine are the four layers that keep billing state correct.
AI FinOps
Tracking Per-Connection AI Usage and Cost
Per-connection usage tracking attributes every AI request and dollar to its source, enabling accurate chargebacks, capacity planning, and anomaly detection.
AI FinOps
Revenue Monitoring and Payouts for AI Marketplaces
How AI marketplaces track MRR, ARR, and per-agent earnings, and manage partner payouts — the outbound money flow that billing dashboards miss.
AI FinOps
Budget Policies in Praesidia: Spend Limits for AI Agents
How Praesidia's budget policies (Team and Enterprise) pause or block new agent tasks at a threshold you set and refuse over-budget gateway model calls.
AI FinOps
Credits and Cost Monitoring for Agent Spend
A prepaid credit ledger with per-agent usage records gives you real-time visibility into AI spend and a hard gate that stops agents before they overspend.
AI FinOps
Subscriptions, Invoices, and Contracts for AI Platforms
How subscription plans, metered usage, invoices, and enterprise contracts fit together so AI token and tool costs map cleanly to billing.