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Articles on AI agent security, governance, and integration guides.
How to Secure AI Agent API Calls with a Policy Gateway
AI agents make HTTP calls on your behalf. Without a policy layer, a single misconfigured agent can delete production data, leak secrets, or rack up API bills. Here's how to add a security boundary.
AI Agent Governance Tools Compared (2026): TameFlare vs Zenity vs Knolli vs OPA
A detailed comparison of the leading AI agent governance tools. Proxy vs SDK, source-available vs closed, and what matters for your team.
Why Data Sovereignty Matters for AI Agent Governance in 2026
GDPR, NIS2, and data sovereignty requirements are reshaping how European organizations deploy AI agents. Here's why your governance layer's architecture matters more than where it's hosted.
TameFlare vs Agentgateway: Governance Stack vs Protocol Proxy
Agentgateway (Solo.io) is a Rust-based MCP/A2A proxy. TameFlare is a governance stack with policies, approvals, credential isolation, and audit. Both sit between agents and APIs - but they solve different problems.
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OpenClaw Proves Agentic AI Works. Here's How to Secure It.
OpenClaw has 100k+ stars and zero built-in security. Every outbound HTTP call runs with full user permissions. Here's how to add a policy enforcement layer without changing your agent code.
6 min
Using TameFlare with LangChain: Zero-Code Agent Governance
LangChain agents call external APIs with zero built-in security. Add policy enforcement, credential isolation, and audit logging without changing a single line of agent code.
10 min
Building a Custom TameFlare Connector in Go
TameFlare ships with 8 built-in connectors, but your agents probably call APIs we haven't covered yet. This guide walks through building a custom connector from scratch - domain matching, request parsing, credential injection, and registration.
12 min
AI Agent IAM: Identity and Access Management for Autonomous Systems
Traditional IAM was built for humans and service accounts. Autonomous AI agents need a new model - one that combines identity, permissions, credential isolation, and real-time policy enforcement.
11 min
Using TameFlare with CrewAI: Govern Multi-Agent Workflows
CrewAI makes multi-agent orchestration easy, but every tool call runs with full permissions. Add policy enforcement, credential isolation, and audit logging to your CrewAI workflows without changing a line of code.
10 min
Using TameFlare with n8n: Secure AI Workflow Automation
n8n workflows call dozens of APIs with full credentials. Route all n8n HTTP traffic through TameFlare to enforce policies, isolate credentials, and create an audit trail - without modifying any workflow.
9 min
How TameFlare Secures MCP Traffic Without MCP-Specific Code
MCP (Model Context Protocol) uses standard HTTP for its Streamable HTTP transport. TameFlare's transparent proxy already intercepts, logs, and enforces permissions on every MCP tool call - no special configuration needed.
8 min
Using TameFlare with Claude Code: Govern Agentic Coding Sessions
Claude Code executes shell commands, edits files, and calls APIs autonomously. Route its HTTP traffic through TameFlare to enforce policies, isolate credentials, and audit every external action - without changing how you use Claude Code.
10 min
Scoped Kill Switches: Surgical Shutdown for AI Agent Traffic
A global kill switch is a blunt instrument. TameFlare's scoped kill switch lets you shut down traffic per connector, per gateway, or globally - without stopping agents that are working fine.
8 min
Building an Audit Trail for AI Agent Actions: What to Log and Why
When an AI agent deletes a production branch at 3 AM, the first question is always 'what happened?' An audit trail answers that question - if you built it right. Here's what to log, how to store it, and why append-only matters.
10 min
TameFlare + Lakera Guard: Defense in Depth for AI Agents
Lakera Guard secures LLM inputs and outputs. TameFlare enforces what agents can do with external APIs. Together they cover both the content layer and the action layer - a complete AI agent security stack.
9 min
Why Upgrade to TameFlare Pro? A Guide for Solo Developers and Small Teams
You've validated TameFlare on Starter. Your agents work, your policies are tuned. Here's when Pro ($29/mo) starts paying for itself - and what each feature actually means for your workflow.
6 min