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AI · alternatives · 2026

24 alternatives to Breach Intel — Agent Security

The audit layer for AI agents — zero code changes

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1
    Cyris▲98

    "Cyris is the orchestration layer your AI agents are missing. Whether you're a two-person startup or a 10,000-employee health system — connect agents from OpenClaw, Claude, GPT-4o, Ollama, EPIC, or any platform and have them coordinate, hand off, and escalate across your entire organization. Self-hosted. Auditable. Human-governed" Just a side project I've been working on, and was curious whether people would actually find something like this useful! I'd recommend checking out the sandbox as well.

    Apr 2026 · cyrisai.dev · its alternatives →

  2. 2

    Security gateway for LLM agents

    Feb 2026 · cencurity.com · its alternatives →

  3. 3

    Real-time AI cheating detection for technical interviews

    May 2026 · zeroassist.in · its alternatives →

  4. 4

    Models matter. Context matters more. Give your agent a plan.

    Jun 2026 · deepworkplan.com · its alternatives →

  5. 5
    Phinq▲82

    Stops AI agents before they break something

    Aug 2026 · phinq.co · its alternatives →

  6. 6

    The modern standard in AML compliance through AI agents

    2023 · flagright.com · its alternatives →

  7. 7
    0xAudit▲110

    The security layer for AI agents to scan, fix verify via MCP

    Feb 2026 · 0-x-audit.com · its alternatives →

  8. 8

    Your AI agent hits an infinite loop and racks up $2000 in API charges overnight. This happens weekly to AI developers. AgentGuard monitors API calls in real-time and automatically kills your process when it hits your budget limit. How it works: Add 2 lines to any AI project: const agentGuard = require('agent-guard'); await agentGuard.init({ limit: 50 }); // $50 budget // Your existing code runs unchanged const response = await openai.chat.completions.create({...}); // AgentGuard tracks costs automatically When your code hits $50 in API costs, AgentGuard stops…

    2025 · github.com · its alternatives →

  9. 9

    Hey HN, We’re two developers (co-founders) with a team of 20 who got tired of spending hours reviewing PRs, so we built Infinitcode.ai, an AI-powered code reviewer that: - *Summarizes PRs in plain English*: No more deciphering 1,000-line diff jungles - *Catches more than bugs*: Security holes, performance pitfalls, code smells, even typos (yes, we’ll flag “vurnerabilities” and vulnerabilities) - *Zero onboarding*: Works instantly—no “let me learn your codebase for weeks” nonsense. Why we’re posting: We’re in alpha and need brutal honesty. Roast our tool, mock our UI, or tell us why AI will…

    2025 · infinitcode.ai · its alternatives →

  10. 10FL

    Hi HN! We just launched Codacy Guardrails, an IDE extension with a CLI for code analysis and MCP server that enforces security & quality rules on AI-generated code in real-time. It hooks into AI coding assistants (like VS Code Agent Mode, Cursor, Windsurf), silently scanning and fixing AI-suggested code that has vulnerabilities or violates your coding standards, while the code it’s being generated. We built this because coding agents can be a double-edged sword. They do boost productivity, but can easily introduce insecure or non-compliant code. One recent research team at NYU found that 40%…

    2025 · its alternatives →

  11. 11

    Runtime governance for AI agents. Allow, warn, or block every model and tool call before it commits. Hash-chained audit for every decision. Compliance packs for SOC 2, HIPAA, PCI DSS, EU AI Act, SR 11-7, and FDA CSA. Apache 2.0. - sseshachala/conductai

    Aug 2026 · github.com · its alternatives →

  12. 12

    I started using Claude Code (claude --dangerously-skip-permissions) and Codex (codex --yolo) and realized I had no reliable way to know what they actually did. The agent's own output tells you a story, but it's the agent's story. logira records exec, file, and network events at the OS level via eBPF, scoped per run. Events are saved locally in JSONL and SQLite. It ships with default detection rules for credential access, persistence changes, suspicious exec patterns, and more. Observe-only – it never blocks. https://github.com/melonattacker/logira

    Mar 2026 · github.com · its alternatives →

  13. 13

    Stop AI agents from installing malicious packages.

    Jul 2026 · agentinel.habitwala.in · its alternatives →

  14. 14

    Scans AI agent skills for malicious code

    Aug 2026 · github.com · its alternatives →

  15. 15

    Hi HN, I’m a solo developer and built AgentWatch to solve a problem I kept running into while building AI agents: preventing runaway loops and unexpected LLM spend before requests reach the model. AgentWatch sits in front of OpenAI, Anthropic, Gemini, Bedrock, Azure OpenAI, Groq, and others to enforce budgets and runtime policies. I’d really appreciate your feedback. If you’re building AI agents, does this solve a problem you’ve experienced? I’d also love to hear what you’d improve or challenge.

    Jun 2026 · agent-watch.dev · its alternatives →

  16. 16

    The audit layer for regulated AI agents

    May 2026 · ai.goderash.com · its alternatives →

  17. 17

    Smart contract security audits

    2024 · securedai.io · its alternatives →

  18. 18

    A zero-trust API Gateway for your AI Agents.

    Jun 2026 · zerotrust-agents.com · its alternatives →

  19. 19

    We're excited to launch compliant-llm: an open-source toolkit that helps infosec and compliance teams audit AI agents against regulatory frameworks like NIST AI RMF, ISO 42001, and OWASP Top 10. Infosec and compliance teams are now responsible for tracking security and compliance risks of a growing number of AI agents across external and internal apps and third-party vendors. compliant-llm gives you a way to: - Define and run comprehensive red-teaming tests for AI agents - Maps test outcomes to compliance frameworks like NIST AI RMF - Generate detailed audit logs and documentation -…

    2025 · github.com · its alternatives →

  20. 20

    Hi HN, I’m the creator of Cordum. I’ve been working in DevOps and infrastructure for years (currently in the fintech/security space), and as I started playing with AI agents, I noticed a scary pattern. Most "safety" mechanisms rely on system prompts ("Please don't do X") or flimsy Python logic inside the agent itself. If we treat agents as autonomous employees, giving them root access and hoping they listen to instructions felt insane to me. I wanted a way to enforce hard constraints that the LLM cannot override, no matter how "jailbroken" it gets. So I built Cordum. It’s an open-source…

    Jan 2026 · github.com · its alternatives →

  21. 21

    Hi HN, Matvey, Ildar, Joey, and Dominik here. If you're building LLM agents that use tools, you're probably worried about prompt injection attacks that can hijack those tools. We were too, and found that solutions like prompt-based filtering or secondary "guard" LLMs can be unreliable. Our thesis is that agent security should be handled at the network level between the agent and the LLM, just like a traditional web application firewall. So we built Archestra Platform: an open-source gateway that acts as a secure proxy for your AI agents. It's designed to be a deterministic firewall against…

    2025 · archestra.ai · its alternatives →

  22. 22

    Coding agents craft arbitrary code so securing them is more complicated than red-teaming. We post trained a cyber-security small llm, changed how it reasons and supplemented our controls using program analysis techniques such as inline reference monitoring to outperform GPT5.5-xhigh on hard benchmarks like LinuxArena and SleightBench. Free product available at harden.run and full benchmarks in the blog post.

    Aug 2026 · harden.run · its alternatives →

  23. 23

    A zero-trust security layer between your apps and LLMs

    Jan 2026 · its alternatives →

  24. 24

    Security testing for AI agents

    Mar 2026 · zeroleaks.ai · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →