A curated list of awesome frameworks, runtime sandboxes, zero-leak redactors, prompt injection defenses, database guardrails, and compliance benchmarks for Autonomous AI Coding Agents (Claude Code, Cursor, Windsurf, Devin, OpenHands, Aider, LangGraph, CrewAI).
Online Playground • Documentation • Trust Center • Contributing
- Threat Models & Taxonomies
- Runtime Sandboxes & Process Confinement
- Zero-Leak Secret Redaction & Env Defense
- Database Guardrails & Wire Proxies
- Context Compaction & Token Defense
- Model Context Protocol (MCP) Hardening
- Prompt Injection & Indirect Jailbreaks
- Red Teaming & Security Benchmarks
- Static Code Analysis for Agent-Generated Code
- Regulatory Frameworks & Compliance
- Interactive Playgrounds
- OWASP Top 10 for Large Language Models (2025) - Core classification including LLM01: Prompt Injection, LLM02: Sensitive Information Disclosure, and LLM06: Excessive Agency.
- MITRE ATLAS™ (Adversarial Threat Landscape for AI Systems) - Comprehensive matrix mapping real-world adversarial tactics targeting AI-enabled systems.
- NIST AI Risk Management Framework (AI 100-1) - Guidance on managing cybersecurity risks in autonomous decision loops.
- CWE-77 / CWE-78 (Improper Neutralization of Special Elements used in a Command) - Critical root cause when agents generate raw shell instructions (
eval,sh -c).
Tools providing kernel-level process isolation, syscall filtering, and filesystem boundaries for autonomous coding agents.
- AgentShield - Enterprise-grade zero-leak secret defense, Landlock/seccomp kernel sandbox, and pseudo-terminal emulator for autonomous AI coding agents.
- gVisor - Application kernel written in Go that implements a substantial portion of the Linux system call surface for secure container isolation.
- Firecracker - Minimalist, secure MicroVM hypervisor written in Rust for serverless and agent confinement.
- nsjail - Light-weight process isolation tool using Linux namespaces, cgroups, and seccomp-bpf.
- Bubblewrap - Unprivileged sandboxing tool for Linux utilizing user namespaces to restrict directory hierarchies.
- E2B - Cloud sandboxing platform built for running untrusted AI-generated code in isolated environments.
Engines preventing agents from reading /proc/self/environ, executing echo $SECRET, or exfiltrating credentials across LLM boundaries.
- AgentShield Secret Redactor - High-performance dual-pass zero-leak redactor featuring linear-time token verification, environment variable spoofing, and HMAC-SHA256 audit ledgers.
- Detect-Secrets - An enterprise-friendly tool for finding and preventing secrets in codebases using entropy heuristics.
- TruffleHog - High-speed git secret scanner with 800+ detector types and credential live-verification.
- Gitleaks - Fast, lightweight tool for detecting hardcoded secrets like passwords, API keys, and tokens in repositories.
Proxy layers that inspect, validate, and intercept autonomous agent SQL queries before they touch production data.
- DBShield - Air-gapped database wire proxy that intercepts unindexed queries, blocks destructive
DROP/TRUNCATEoperations, and orchestrates two-man rule Slack approvals. - SQLFluff - Dialect-flexible SQL linter and AST security parser validating agent-generated database queries.
- Prisma Pulse Guard - Safe database interaction wrappers with row-level permission constraints.
Engines that compress agent context to prevent context-stuffing denial-of-service and minimize prompt exposure.
- SkillPrism - JIT progressive skill disclosure and context compaction engine, cutting agent context token overhead by up to 96.7% while preserving instruction fidelity.
- LLMLingua - Microsoft's prompt compression toolkit using small language models to remove redundant prompt tokens.
- Selective-Context - Context reduction method based on self-information evaluation.
Securing Anthropic's Model Context Protocol (MCP) tool servers and client transports.
- MCPBuilderKit - Production scaffolding and testing toolkit for Model Context Protocol servers with schema validation and authentication gates.
- MCP Official SDK - Official TypeScript and Python SDKs for Model Context Protocol.
- MCP Security Guidelines - Architectural specifications for server-client isolation and authorization scopes.
Gateways and guardrails detecting hostile instructions in user prompts and untrusted web inputs.
- NeMo Guardrails - NVIDIA's open-source toolkit for adding programmable guardrails to LLM conversational systems.
- Llama Guard 3 - Meta's fine-tuned model for input/output safety classification.
- Rebuff - Multi-layer prompt injection defense incorporating heuristic filtering, LLM detection, and vector canary tokens.
- Lakera Guard - Low-latency API layer defending against prompt injection and jailbreaks.
Frameworks for evaluating and adversarial testing of autonomous agents.
- AgentBench - Multi-dimensional benchmark evaluating LLMs as autonomous agents across operating system, database, and web environments.
- HarmBench - Standardized evaluation framework for automated red teaming of large language models.
- Garak - LLM vulnerability scanner checking for hallucinations, data leaks, prompt injection, and misinformation.
- PyRIT - Python Risk Identification Tool for generative AI by Microsoft.
AST-level analyzers tailored for identifying insecure patterns in code generated by autonomous agents.
- WebSecAuditor - AST taint analysis and automated GitHub PR security gate detecting SQL injections, SSRF, and prototype pollution in agent pull requests.
- Semgrep - Fast, lightweight static analysis tool for finding bugs and enforcing code standards.
- Bandit - Security linter for Python code.
- India DPDP Act 2023 Compliance Controls - Data fiduciary obligations, consent architectures, and cross-border transfer boundaries for AI agents.
- EU AI Act (Regulation 2024/1689) - Risk classification hierarchy for high-risk and general-purpose AI models.
- SOC 2 Type II AI Controls - Trust services criteria mapped to automated agent execution logs and audit ledgers.
- RitualDev Adversarial Playground - Live, in-browser interactive terminal to test hostile agent payloads (AWS credential dumps,
/proc/self/environreads, ReDoS attacks) and observe real-time zero-leak redaction.
Contributions are welcome! Please read the Contributing Guidelines before submitting a pull request.
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