When a cyberattack hits, most organizations have tools to detect the intrusion and automate the technical countermeasures. What they often lack is a clear answer to a harder question: who makes the critical decisions, when do they make them, and how do you prove it later to regulators or insurers?
IR-OS has built what it calls the first AI-native platform designed specifically to coordinate the human elements of cyber incident response. The cyber incident response management platform draws from more than 150 real executive tabletop exercises conducted across enterprise, government, and critical infrastructure organizations, not theoretical playbooks, but patterns extracted from live boardroom pressure.
The platform addresses what studies from Verizon and IBM consistently identify as the primary driver of breach costs: coordination failures. While Security Information and Event Management (SIEM), Endpoint Detection and Response (EDR), and Security Orchestration, Automation and Response (SOAR) tools handle detection and technical automation, IR-OS focuses on roles, decisions, regulatory deadlines, stakeholder communications, and creating a defensible record of what happened.
AI That Cites Its Sources
Every IR-OS subscription includes capabilities that would typically require consultants or weeks of internal preparation. The platform generates a complete incident response plan in 15 minutes, a task that normally takes six weeks and costs between $40,000 and $120,000. An AI-powered team recommender maps personnel to the right incident response roles, while parallel regulatory clock tracking monitors compliance windows across SEC Item 1.05, GDPR Article 33, HIPAA, NY DFS, NIS2, DORA, state breach laws, and cyber insurance first-notice requirements.
The IR Brain—the platform’s retrieval-augmented AI component—cites its sources from standards including NIST 800-61, ISO/IEC 27035, CISA, SANS, and MITRE ATT&CK. According to the company, it never fabricates answers or takes unapproved actions. Every decision, notification, and handoff is captured in a SHA-256 hash-chained record designed to meet Federal Rule of Evidence 901 standards for regulators, insurers, and plaintiff scrutiny.
From Cyber Insurance to Agentic AI
The platform serves three primary segments: public sector organizations, including state and local governments and educational institutions; commercial businesses with 50 to 2,000 employees managing cyber insurance renewals and regulatory requirements; and large enterprises requiring multi-business-unit hierarchy and compliance mapping. Primary buyers include CISOs, CIOs, general counsel, chief risk officers, and audit committee chairs.
IR-OS recently launched a Model Context Protocol server, enabling Claude Desktop and similar tools to query incidents, regulatory clocks, and the IR Brain directly, making it the only cyber incident management solution with native agentic AI integration.
The company’s advisory board is led by Mark Lynd, ranked among the top five global cybersecurity and AI thought leaders by Thinkers360, who brings deep experience as a five-time CIO and CISO, author, and keynote speaker.
Looking ahead, IR-OS plans to become the default incident command layer for cyber insurance policies in North America, with carrier-integrated workflows that turn claims into coordinated response assets. The platform will expand regulatory coverage to EU DORA, UK CRTF, and Asia-Pacific breach regimes. Plans for the AI-powered incident response platform start at $199 per month with a 10-day free trial.
