Most runtime governance tools for AI agents either require self-hosting or lock you into a specific cloud.
You end up maintaining the thing that’s supposed to protect you.
Gateplex is managed. One API call. Nothing to host or maintain. Free tier live at https://t.co/s1UGE4QZ6I.
#AIAgents #AIGovernance #EnterpriseAI
@saultiegaultie@GateplexAI - A governance firewall for autonomous AI agents. Intercepts every action and blocks it if it violates rules.
One API call. Any framework. Any LLM.
Live at https://t.co/pF00PCX0H6
@khushiirl@GateplexAI - A governance firewall for autonomous AI agents. Intercepts every action and blocks it if it violates rules.
One API call. Any framework. Any LLM.
Live at https://t.co/pF00PCX0H6
@csaba_kissi@GateplexAI - A governance firewall for autonomous AI agents. Intercepts every action and blocks it if it violates rules.
One API call. Any framework. Any LLM.
Live at https://t.co/pF00PCX0H6
@elgermerlo Building @GateplexAI - A governance firewall for autonomous AI agents. Intercepts every action and blocks it if it violates rules.
One API call. Any framework. Any LLM.
Live at https://t.co/pF00PCWsRy
Been watching the AI agent space closely and one product caught my attention this week.
@gateplexai is a real-time firewall for autonomous AI agents. Every action gets intercepted, checked against rules, and blocked before it executes.
Not after. Before.
If you are building with LangChain, CrewAI, AutoGen, or any agent framework this is worth 5 minutes of your time.
https://t.co/jIkBf8KZEv
#AIAgents #AIGovernance #LLM #MCP
@prince_a_dada@Miracle_NNnn@GateplexAI That’s exactly who it’s built for. One API call, no infrastructure to maintain, free tier to start. A small team can have governance running in minutes without a dedicated compliance engineer.
The Gateplex Python SDK is live.
pip install gateplex-python
One-line OpenAI and Anthropic patchers. Automatic latency tracking. Background batch logging so your agent never waits on governance.
Zero code changes to your existing setup.
https://t.co/c90a21euLw #AIAgents#AI
@Zenysi_@GateplexAI - A governance firewall for autonomous AI agents. Intercepts every action and blocks it if it violates rules.
One API call. Any framework. Any LLM.
Live at https://t.co/pF00PCX0H6
@YInsured@GateplexAI - A governance firewall for autonomous AI agents. Intercepts every action and blocks it if it violates rules.
One API call. Any framework. Any LLM.
Live at https://t.co/pF00PCX0H6
@IAmPascio@GateplexAI - A governance firewall for autonomous AI agents. Intercepts every action and blocks it if it violates rules.
One API call. Any framework. Any LLM.
Live at https://t.co/pF00PCX0H6
The evaluation is deterministic, no LLM in the path. When an action hits the API, a server-side rules engine loads your active rules and evaluates the payload against each one. Spend limits use regex-based amount extraction, PII detection uses pattern matching with Luhn validation for cards. The server verdict overrides anything the client sends. Fast, auditable, and defensible to a compliance team.
@i_mika_el@GateplexAI We don’t detect injection at the prompt level. We evaluate the action against your rules before it executes. Permitted or not, regardless of how it got there.
Not quite. The agent runs normally in your existing setup. Gateplex sits in front of it via one API call and intercepts each action before it executes. No containerization, no permissions changes, no code changes. Think of it less like a harness and more like a firewall inline with your agent’s tool calls.