Sentinel
PulseGate's liveness check found it on 9 Oct 2026; it is registered on PyPI and has been in the index since 16 Jun 2026. How this is checked
Sentinel is an AI agent security tool for prompt injection defence. It is built to stop injection attacks and secret leaks before they reach an LLM, and its page describes AI agents as vulnerable when they process external content that may contain hidden instructions.
Inferred · not functionally tested
Overview
5 featuresPurpose: Protecting AI agents from prompt injection attacks, encoding bypasses, and credential leaks.
Inferred · not functionally tested
Audience: AI developers and organizations deploying AI agents
Inferred · not functionally tested
Functions: monitoring, data_extraction
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: unknown · license: Proprietary · platforms: CLI, WEB · deployment: browser, cli, cloud_managed
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: sentinel-agents.com. These links do not verify the individual claims.
Sentinel sits in PulseGate's AI & LLM security category. Inferred · not functionally tested: It focuses on protecting AI agents from prompt injection attacks, encoding bypasses, and credential leaks. Inferred · not functionally tested: Sentinel is a B2B product aimed at AI developers and organizations deploying AI agents. Basis unknown · not verified: It ships for the web and the command line.
Sentinel first shipped in 2026. Inferred · not functionally tested: Key capabilities include prompt injection detection, credential exposure prevention, and multi-agent support. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Prompt injection detection
- Credential exposure prevention
- Multi-agent support
- Sub-second detection
- Threat intelligence
Topics: Inferred · not functionally tested
Built with & integrations
- Next.js
- /_next/static/ in the HTML · __next_f in the HTML
- Vercel
- x-vercel-id header · x-vercel-cache header
- multiple
- bLangChain in the HTML
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about Sentinel
- What does Sentinel do?
- Inferred · not functionally tested: Sentinel focuses on protecting AI agents from prompt injection attacks, encoding bypasses, and credential leaks. It is catalogued under AI & LLM security on PulseGate.
- Who should use Sentinel?
- Inferred · not functionally tested: Sentinel is a B2B product built for AI developers and organizations deploying AI agents.
- What platforms does Sentinel run on?
- Basis unknown · not verified: Sentinel runs on the web and the command line.
- Is Sentinel still active?
- PulseGate's liveness check found it on 9 Oct 2026.
- What projects are similar to Sentinel?
- Similar projects tracked by PulseGate include SentinelAI, Agent Sentinel, and Sentinel.SentinelAIAgent SentinelSentinel
- How long has Sentinel been around?
- Sentinel first shipped in 2026.
- Does Sentinel have an API or integrations?
- Inferred · not functionally tested: Yes — Sentinel exposes a public API.
Similar projects
Closest matches by what these projects do