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.