sentinel-ai-security

Detect and block AI threats in prompts and responses across LLM workflows.

107|19|Updated Dec 9, 2025
One-click install
npx skills add https://github.com/DmitrL-dev/AISecurity --skill sentinel-ai-security
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sentinel-ai-security
Source: https://github.com/DmitrL-dev/AISecurity/tree/main
Command: npx skills add https://github.com/DmitrL-dev/AISecurity --skill sentinel-ai-security

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

SENTINEL AI Security Platform defends LLMs, AI agents, and multimodal systems from prompt injection, jailbreaking, data leakage, and other adversarial techniques. It combines a large suite of detectors with a Strike red-team payload library to simulate attacks in production-like environments and validate defenses.

Core Features & Use Cases

  • 97 detection engines, spanning pattern-based, ML-based, and Strange Math™ approaches for robust AI security.
  • Strike red-team toolkit with 39,000+ attack payloads for offensive testing and security hardening.
  • Ultra-low latency (<10ms) production-grade defense suitable for high-throughput AI deployments.
  • Use cases include securing enterprise copilots, chatbots, and AI-assisted workflows with auditable security gating.

Quick Start

Run a live prompt through SENTINEL to obtain a risk score and recommended mitigations.

Frequently Asked Questions about sentinel-ai-security

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect and block prompt injection attacks in LLM applications?

Detect prompt injection by routing prompts and responses through 97 detection engines spanning pattern-based, ML-based, and Strange Math methodologies to identify and block AI threats with auditable security gating.

What is the best way to red-team AI agents for jailbreak vulnerabilities?

Red-team AI agents by simulating attacks using a Strike toolkit containing 39,000+ payloads, validating defenses against jailbreaking, data leakage, and adversarial techniques in production-like environments.

Can I secure high-throughput enterprise copilots without adding significant latency?

Secure high-throughput enterprise copilots using production-grade defense with ultra-low latency under 10ms, ensuring high-throughput AI deployments remain responsive while enforcing detection coverage.

Does this AI security defense work with multimodal systems?

This AI security defense works with LLMs, AI agents, and multimodal systems across development, testing, and production workflows to enforce detection coverage against data leakage and adversarial threats.

How do I test AI security defenses against data leakage and adversarial techniques?

Test AI security defenses by applying the Strike red-team payload library to simulate attacks, validating defense coverage and identifying vulnerabilities before deploying enterprise chatbots or AI-assisted workflows.

When do I need specialized prompt injection defense for production AI workflows?

Specialized prompt injection defense is needed when deploying enterprise copilots, chatbots, or AI-assisted workflows requiring auditable security gating, low latency, and robust protection against jailbreaking and data leakage.