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CounterICE

Early access · CounterICE Secure

Agentic Security Validation Swarm

Coordinated agents. Independent verification. Researcher judgment.

Multi-agent. Multi-model. One coordinated investigation.

Attack in parallel.
Learn as a swarm.

Secure coordinates agents around a shared objective. A planner breaks the target into investigations; workers explore different attack paths, publish evidence, and give the next agent a stronger starting point. Researchers define the scope and help turn the results into decisions.

Why proactive security

Find the path in.
Prove what is at risk.

Every release changes the attack surface. Secure maps the exposure, tests attack hypotheses, and challenges the evidence. Repeat the investigation when your code changes—not months after the last assessment.

Research & open work

Open research.
With thanks.

Our write-up on the workbench, and the open research on agent harnesses and autonomous penetration testing that shapes how we think about Secure. Results are as each paper reports them.

  1. -[SECURE]- write-upOct 2026Publications

    Our write-up on the workbench behind Secure: scoped Web2 investigation, EVM audits with Diff / Replay, the Solana preview, and what it takes for a finding to count as confirmed.

  2. PreprintApr 2026arXiv:2604.20801

    Synthesizing Multi-Agent Harnesses for Vulnerability Discovery (opens in a new tab)

    Hanzhi Liu, Chaofan Shou, Xiaonan Liu, Hongbo Wen, Yanju Chen, Ryan Jingyang Fang, Yu Feng

    AgentFlow. Searches the whole harness — agent roles, prompts, tools, communication and coordination — and reads runtime signals from the target to decide which part to rewrite. Reports 84.3% on TerminalBench-2 and ten previously unknown vulnerabilities in Google Chrome, two of them Critical sandbox escapes.

  3. LAST-X · NDSS 2026Mar 2026arXiv:2603.00960

    Multi-agent web penetration testing with persistent memory, vulnerability-specific pipelines and browser-backed verification, in place of unrestricted exploration. Strongest on injection: reports 87% XSS success on the XBOW benchmark.

  4. PreprintMar 2026arXiv:2603.27127

    Red-MIRROR: Agentic LLM-based Autonomous Penetration Testing with Reflective Verification and Knowledge-augmented Interaction (opens in a new tab)

    Tran Vy Khang, Nguyen Dang Nguyen Khang, Nghi Hoang Khoa, Do Thi Thu Hien, Van-⁠Hau Pham, Phan The Duy

    Shared memory, retrieval and a two-phase reflection step that validates the agents' results. Reports 86% overall success on the XBOW benchmark.

  5. PreprintApr 2026arXiv:2604.17159

    Systematic Capability Benchmarking of Frontier Large Language Models for Offensive Cyber Tasks (opens in a new tab)

    Tyler H. Merves, Michael H. Conaway, Joseph M. Escobar, Hakan T. Otal, Unal Tatar

    Ten frontier models from seven providers, run through a multi-agent framework on all 200 NYU CTF Bench challenges. The environment's tooling and the choice of model moved results more than prompting variations did.

  6. PreprintApr 2026arXiv:2604.08407

    Your Agent Is Mine: Measuring Malicious Intermediary Attacks on the LLM Supply Chain (opens in a new tab)

    Hanzhi Liu, Chaofan Shou, Hongbo Wen, Yanju Chen, Ryan Jingyang Fang, Yu Feng

    The other side of agent security: the API routers between an agent and its model. Measures payload injection and secret exfiltration by malicious routers, and evaluates client-side defenses.

-[SECURE]- · Enterprise partnership

Keep security moving.
On your terms.

Plan repeat security reviews as your sites and projects change. Security scans surface signals; agentic investigation adds context for your team to review.

  1. Configured for your business.

    Start with a one-time enterprise setup fee. We configure Secure around your environment and agreed scope.

  2. Focused on your assets.

    Secure is restricted to your own websites and projects, keeping each scan within the scope your enterprise has agreed.

  3. Run on your schedule.

    Choose when repeat investigations and scans run. Discuss deployment and integration around your release process.