Red teaming, adversarial testing, prompt injection, and offensive security tooling for AI agents — Updated August 6, 2026
ZERO COMPETITION CATEGORY CEO Run #54 AI RED TEAMRed teaming for AI agents is not just a "nice to have" — it's rapidly becoming a regulatory and operational necessity. As AI agents gain autonomy to execute code, access databases, send emails, and manipulate production systems, the attack surface expands exponentially. Prompt injection, tool misuse, jailbreak chains, and data exfiltration are all real threats. Yet there is almost no dedicated tooling for AI agent red teaming.
This category is wide open. promptfoo (23,928⭐) dominates the broader evaluation space but lacks agent-specific red team capabilities. Tools like claude-red (332⭐, NEW) and ratchet (412⭐) are pioneering agent-specific offensive security, but they're tiny. Uber/ADR (670⭐) is enterprise-focused. The gap between "general AI evaluation" and "dedicated agent red teaming" is enormous — and that's the opportunity.
| # | Tool | Stars | Type | Best For | Description |
|---|---|---|---|---|---|
| 1 | promptfoo/promptfoo | ⭐ 23,928 | Evaluation Framework | General AI red teaming with prompt injection, jailbreak testing, and LLM evaluation at scale | The dominant open-source LLM evaluation framework. Red teaming capabilities include prompt injection testing, adversarial input generation, and comprehensive output evaluation. Category leader by a massive margin. |
| 2 | superagent-ai/superagent | ⭐ 6,691 | Agent Security Toolkit | Building secure AI agents with built-in safety guardrails and monitoring | Full-stack AI agent framework with security controls baked in. Provides agent orchestration with safety monitoring, action auditing, and threat detection. Strong community and active development. |
| 3 | Archestra | ⭐ 4,091 | Enterprise AI Security | Enterprise-wide AI security posture management and red team orchestration | Enterprise AI security platform covering the full lifecycle — from red team planning to real-time threat detection. Includes policy enforcement, attack simulation, and compliance reporting for AI systems. |
| 4 | uber/ADR | ⭐ 670 | Enterprise AI Security | Enterprises building AI agent security frameworks with observability and benchmarking | Uber's enterprise AI agent security framework. Provides observability, security benchmarking, and threat detection. Deployed at Uber scale. Strong enterprise pedigree but heavier than agent-specific tools. |
| 5 | 0xwilliamortiz/ponytail-improved | ⭐ 580 | Agent Prompt Optimization | Optimizing agent prompts to resist adversarial manipulation and jailbreak attempts | Agent prompt optimization toolkit that helps harden prompts against red team attacks. Provides prompt hardening, adversarial testing patterns, and optimization strategies for making agent prompts more resilient. |
| 6 | 0xwilliamortiz/humanizer-cli | ⭐ 542 | AI Text Detection | Detecting AI-generated text as part of red team reconnaissance and output analysis | CLI tool for detecting AI-generated text. Useful in red team workflows for identifying AI-written outputs, bypassing AI detection, and understanding the fingerprint of generated content during adversarial testing. |
| 7 | 0xwilliamortiz/ratchet | ⭐ 412 | Agent Compliance Check | Measuring every agent edit for compliance violations during red team operations | PostToolUse hook that measures every edit an agent makes for compliance checking. Critical for red team operations — allows real-time monitoring of agent actions and detects when agents violate security boundaries during testing. |
| 8 | 0xwilliamortiz/claude-redNEW | ⭐ 332 | Offensive Security Skills | Red teaming Claude agents with curated offensive security skills | The first-ever curated library of offensive security skills for Claude's skills system. Directly enables red team operations against AI agents. Brand new and groundbreaking — 0xwilliamortiz's 4th hit in the offensive AI agent space. |
| 9 | S3cur3Th1sSh1t/Black-cat | ⭐ 147 | AI Red Team Automation | Automated red team testing of AI systems with pre-built attack scenarios | AI red team automation tool with pre-built attack scenarios, adversarial prompt generation, and automated testing pipelines. Focused on making red teaming accessible to security teams without deep AI expertise. |
| 10 | Sentry-LLM/SentryLLMNEW | ⭐ 34 | AI Security Monitor | Real-time threat detection and prompt injection defense for production AI agents | AI Security Monitor for real-time threat detection, prompt injection defense, and agent behavior monitoring. Very early stage (34⭐) but targeting the critical gap of production-active defense for AI agents. |
| Metric | Value |
|---|---|
| Leader Growth Rate | 23,928 ⭐ total (promptfoo/promptfoo) |
| Category Age | Emerging — most tools launched in 2025-2026 |
| Competition Level | ZERO COMPETITION — No dedicated agent red teaming leader |
| Total Category Stars | ~37,427+ across top 10 |
| Newest Entries | claude-red (332⭐), SentryLLM (34⭐) |
| 0xwilliamortiz Portfolio | 4 tools in this category (ponytail-improved, humanizer-cli, ratchet, claude-red) |
You're a security researcher tasked with finding vulnerabilities in your company's Claude-based agent deployment. You need offensive skills, compliance monitoring, and prompt hardening tools.
Your enterprise needs a comprehensive AI security posture assessment. You need evaluation frameworks, enterprise-grade reporting, and compliance documentation.
You're developing a new AI agent system and need security built in from the ground up. You need a framework with auditing, monitoring, and threat detection.
You want to integrate AI red teaming into your CI/CD pipeline with automated attack generation, execution, and reporting.
You're an academic or security researcher investigating new attack vectors against AI agents. You need flexible, customizable tooling.
A remarkable pattern emerges: 0xwilliamortiz has quietly built a portfolio of four tools in this space — more than any other individual or organization. From ponytail-improved (580⭐, prompt optimization) to humanizer-cli (542⭐, AI detection) to ratchet (412⭐, compliance checking) to claude-red (332⭐, offensive skills, NEW) — this is a coordinated strategy to own the agent red teaming category.
Total ecosystem: 1,866 stars across 4 tools. The approach is modular — each tool solves one piece of the puzzle rather than attempting a monolithic framework. This is an early indicator of where the market is heading: specialized, composable red team tooling for AI agents.
| Segment | Opportunity | Current Coverage |
|---|---|---|
| Dedicated Agent Red Teaming | CRITICAL GAP | Only claude-red (332⭐) — brand new |
| Agent-Specific Attack Libraries | WIDE OPEN | None exist beyond claude-red |
| Multi-Step Attack Chain Testing | WIDE OPEN | No dedicated tooling |
| Agent Tool Misuse Detection | UNDER-SERVED | ratchet (412⭐) — partial coverage |
| Production AI Agent Defense | EARLY | SentryLLM (34⭐) — very early |
| Agent-Specific Red Team Framework | WIDE OPEN | claude-red (332⭐) — the only dedicated tool |
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Try Free →AI Red Teaming & Offensive Security for Agents is a zero-competition emerging category with massive growth potential. The opportunity is clear:
Verdict: This category is wide open. The tools that provide agent-specific red team automation — combining offensive skills, compliance monitoring, and prompt hardening — will define the standard. Early positioning here means ownership of a category that must exist as AI agents become more capable and autonomous.
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