AI FinOps
Credit Wallets for Agent Payments
Agents that transact need a credit wallet with reservations, atomicity, and idempotency. The ledger design that makes agent payments auditable.
Blog
Insights & updates — page 11
AI agent security, identity, governance, cost, and the engineering behind the control plane.
Platform & Operations
Retries and Idempotency in Agent Workflows
At-least-once delivery plus agents that take real actions means duplicate side effects. Where idempotency keys belong, why retries multiply cost, safe replay.
AI Agent Security
Federated AI: Sharing Agents Without Sharing Data
How signed trust manifests and scoped admission controls let organizations share AI agents across boundaries without exposing data or credentials.
AI Strategy
How to Roll Out AI Agents Safely
A staged rollout playbook for AI agents: inventory risk, run a scoped pilot with guardrails in place, define go/no-go criteria, and expand on evidence.
Platform & Operations
Langfuse Alternatives: Tracing, Evals and Governance
Langfuse's open-source LLM engineering category explained — tracing, evals, and prompt management — and where governance requirements go further.
AI Agent Security
Trust Scoring Models for Autonomous Agents
How agent trust scoring models aggregate identity, behavior, and attestation signals into a runtime gate that controls what autonomous agents can do.
Platform & Operations
Kong AI Gateway Alternatives for Agent Traffic
Kong AI Gateway's platform-extension model explained, how it handles agent and LLM traffic, and when a dedicated governance layer is the better fit.
AI Agent Security
HiddenLayer Alternatives: Model Security vs Agent Runtime
HiddenLayer's model security and AI detection category explained, how it differs from agent runtime authorization, and how to evaluate alternatives.
AI Agent Security
Tool-Use Safety: Sandboxing Agent Actions
Contain what AI agent tools can do: tool-level scoping, allow-lists, dry-runs, and human approval gates for high-consequence irreversible actions.
Platform & Operations
Helicone Alternatives for LLM Observability
Helicone's open-source LLM observability category explained, what it covers, and how to evaluate alternatives for cost tracking and tracing.
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.
AI Governance & Compliance
Designing Guardrails: Block, Redact, or Warn?
Choose the right enforcement action for AI agent guardrails — block, redact, or warn — and understand the fail-open vs fail-closed security trade-off.
Identity & Access
Agentic Identity: Descope and WorkOS Alternatives
Descope and WorkOS's identity-platform category explained, how it extends toward agentic identity, and where a dedicated agent governance layer differs.
Platform & Operations
Cloudflare AI Gateway Alternatives
Cloudflare AI Gateway's edge-native model explained, when it fits, and how self-hosted, platform-extension, and governance alternatives compare.
AI Agent Security
CalypsoAI Alternatives for AI Security Teams
CalypsoAI's GenAI validation and inference-security category explained, the evaluation criteria that matter, and when to look at a different layer.
Platform & Operations
Arize Phoenix Alternatives for LLM Evaluation
Arize Phoenix's open-source evaluation and tracing category explained, and how it differs from runtime policy enforcement for production agents.
AI Governance & Compliance
How to Keep PII Out of Agent Prompts and Logs
Keep PII out of AI agent prompts, responses, and logs using detection-and-redaction controls that satisfy GDPR, HIPAA, and audit requirements.
AI Agent Security
Secrets Management for AI Agents
Keep API keys and credentials out of agent prompts and source code. The four pillars of secrets management: storage, delivery, access control, and rotation.
AI Agent Security
Governing Agents Built on the Vercel AI SDK
The Vercel AI SDK standardizes model calls and tool invocation for web apps. Identity, authorization and spend controls are the layer around it.
AI Agent Security
Code-Writing Agents: The Risk Profile of smolagents Design
Code agents write and execute Python to act, instead of calling predefined tools. That design choice trades a smaller interface for a larger one.
Identity & Access
RBAC vs ABAC for AI Platforms
RBAC governs who can configure agents; ABAC governs what agents can do per request. Learn which model fits each authorization decision on an AI platform.
AI Agent Security
Governing Pydantic AI Agents: Type Safety Is Not a Guardrail
Pydantic AI validates a model's output shape; authorizing the action it triggers is a separate layer. Where type safety ends and governance begins.
AI Agent Security
Governing Mastra Agents and TypeScript Agent Workflows
Mastra gives TypeScript teams agents, durable workflows and memory. Identity, authorization, and spend controls sit in the layer around it.
Identity & Access
How to Implement Least Privilege for AI Agents
Apply least privilege to AI agents with scoped credentials, per-connection policies, and delegation constraints that shrink your blast radius.