DeepTeam is a framework to red team LLMs and AI agents.
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Updated
Oct 1, 2026 - Python
DeepTeam is a framework to red team LLMs and AI agents.
Agentic LLM Vulnerability Scanner / AI red teaming kit 🧪
Evidence-backed use cases, patterns, prompts, and starter code for TypeSafe Jev — a System One model for fast, typed, confidence-aware decisions in software.
A curated, source-backed list of projects built with Jev, TypeSafe AI's System One model for typed decisions.
The fastest Trust Layer for AI Agents
Open Source Reliability Harness: Make your agents follow rules. One line of code to enforce, trace, and improve.
Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.
Ultra-fast, low latency LLM prompt injection/jailbreak detection ⛓️
The Open Source Firewall for LLMs. A self-hosted gateway to secure and control AI applications with powerful guardrails.
🛡️ Security audit CLI for Model Context Protocol (MCP) servers — scan AI agent configs for tool poisoning, rug pulls, hardcoded secrets, command injection & supply-chain risks. Pure Python, SARIF + CI ready.
Prompt-injection guardrail for LLM applications. Compact model that outperforms larger open-source guards. No regex, no signatures. Demo: anton.securelayer7.net
A production-grade control layer that sits between your application logic and any LLM — input validation, schema enforcement, circuit breaking, targeted retry, and audit logging in one composable pipeline.
A TypeScript library providing a set of guards for LLM (Large Language Model) applications
Deterministic guardrails for AI agents — the LLM proposes, your rules dispose. A sub-microsecond, JIT-compiled rule engine in Rust, with a visual Studio.
A curated list of LLM/MLLM guardrails, safety benchmarks, guard models, jailbreak attacks, moderation datasets, and evaluation tools.
LMAP (large language model mapper) is like NMAP for LLM, is an LLM Vulnerability Scanner and Zero-day Vulnerability Fuzzer.
Checks AI-generated code changes before merge: scope, validation, risk, review evidence, and optional Verity receipts.
Agent-ergonomic CLI for TypeSafe's Jev: fast calibrated judgments (pick, rate, check, rank, triage, guard) from the shell
Real-time guardrail runtime for AI agents.
Explainable security gate for LLM apps — blocks prompt injection with an auditable reason for every decision.
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