Security
Fluxix
Real-Time Guardrails, Policy Enforcement & PII Shield for AI Agents
- Category
- Security
- Stage
- Beta
- For
- Developers and teams building or deploying autonomous AI agents with LangChain, CrewAI, AutoGen, OpenAI SDK, or custom tool calls.
About
Real-time safety guardrails, spending limits, human-in-the-loop approvals, and PII data protection for autonomous AI agents.
Features
- Problem
- Policy rules can be difficult to author and validate.
- How it works
- The Policy Studio lets teams select an agent, write rules in plain English or start from presets, then test rules against sample tool calls before saving.
- Result
- Rules and their expected verdicts can be checked before production.
- Why
- Teams can define agent-specific controls without writing YAML or a schema.
- Problem
- An agent's tool call may be risky or unauthorized.
- How it works
- Fluxix evaluates calls against applicable rules and returns an allow, block, mask, or human-review decision before the action executes.
- Result
- Safe calls proceed, while dangerous or high-impact calls can be stopped or held.
- Why
- Intervening before execution prevents disallowed actions from reaching connected systems.
- Problem
- Sensitive information may be sent to an external model.
- How it works
- Fluxix detects sensitive values and replaces them with reversible tokens, permanent redactions, or blocks; reversible values are restored when the reply returns.
- Result
- Requests can reach model providers with sensitive values masked.
- Why
- The real values are kept from the model while allowing the agent to continue working.
- Problem
- High-impact actions may need a person to decide, and teams need an audit record.
- How it works
- Fluxix pauses actions for approval, routes them to reviewers, returns rejection reasons to the agent, and logs decisions and approval outcomes.
- Result
- Unapproved or rejected actions do not execute, and decisions are searchable for audit.
- Why
- Human oversight and recorded context help teams control consequential actions and review them later.
Product questions
What does Fluxix do?
Fluxix checks AI-agent tool calls against policies before execution, then allows, blocks, masks, or routes actions for human approval. It also protects sensitive data in model-bound requests and records decisions for audit.
Who is Fluxix for?
Developers and teams building or deploying autonomous AI agents with LangChain, CrewAI, AutoGen, OpenAI SDK, or custom tool calls.
Screenshots
