secure-ai-guard
PulseGate's liveness check found it on 20 Sep 2026; it is registered on PyPI and has been in the index since 20 Sep 2026. How this is checked
secure-ai-guard is an MIT-licensed Python package for inspecting AI agent actions before execution. It provides data loss prevention, auditing, redaction, and MCP-related security controls for developers building AI agents.
Inferred · not functionally tested
Overview
5 featuresPurpose: Preventing AI agents from leaking sensitive data or performing unsafe actions.
Inferred · not functionally tested
Audience: AI developers and security engineers
Inferred · not functionally tested
Functions: agents, data_extraction, monitoring
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI, WEB · deployment: browser, cli, self_hosted, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: secureai.one. These links do not verify the individual claims.
secure-ai-guard sits in PulseGate's AI & LLM security category. Inferred · not functionally tested: It focuses on preventing AI agents from leaking sensitive data or performing unsafe actions. Inferred · not functionally tested: It is built as an open-source project for AI developers and security engineers. Basis unknown · not verified: secure-ai-guard is open source under the MIT license. Basis unknown · not verified: It ships for the web, the command line, and API, and it can be self-hosted.
Secure AI builds and maintains secure-ai-guard, and it first shipped in 2026. Inferred · not functionally tested: Among its 5 catalogued features are action inspection, data loss prevention, and audit logging. Inferred · not functionally tested: Catalogued interfaces include an MCP server.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Action inspection
- Data loss prevention
- Audit logging
- Sensitive data redaction
- MCP security
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
4What PulseGate has recorded for this listing
- Indexed20 Sep · 01:42 UTCsecure-ai-guard seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about secure-ai-guard
- What does secure-ai-guard do?
- Inferred · not functionally tested: Secure-ai-guard focuses on preventing AI agents from leaking sensitive data or performing unsafe actions. It is catalogued under AI & LLM security on PulseGate.
- Who is secure-ai-guard for?
- Inferred · not functionally tested: secure-ai-guard is an open-source project built for AI developers and security engineers.
- Does secure-ai-guard have a free plan?
- Basis unknown · not verified: Yes — secure-ai-guard is open source under the MIT license and free to use.
- What platforms does secure-ai-guard run on?
- Basis unknown · not verified: secure-ai-guard runs on the web, the command line, and API. It can also be self-hosted.
- Is secure-ai-guard still active?
- PulseGate's liveness check found it on 20 Sep 2026.
- What projects are similar to secure-ai-guard?
- Similar projects tracked by PulseGate include ai-agentguard, AgentGuard, and agentreachguard.ai-agentguardAgentGuardagentreachguard
- Who makes secure-ai-guard?
- secure-ai-guard is developed by Secure AI.
- When did secure-ai-guard launch?
- secure-ai-guard first shipped in 2026.
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