CYGNVS launches command center for crises caused by a company’s own AI

Cyber resilience company CYGNVS Inc. today launched its AI Incident Command Center, a platform built to help organizations manage operational crises caused by their own artificial intelligence deployments.

The product extends CYGNVS’ existing out-of-band incident platform to a new category of risk: failures in the models and agents companies are putting into production. Those failures range from biased outputs and hallucinations to data leakage and autonomous agents pursuing objectives in unintended or destructive ways.

CYGNVS built its platform around isolation, the same principle security teams apply to ransomware response. The company said the architecture keeps incident response off the corporate network and out of reach of the AI being investigated, so the system under review cannot detect, influence or manipulate the response.

The launch comes as AI failures move from theoretical to routine. The Organization for Economic Co-operation and Development AI Incidents and Hazards Monitor recorded 596 AI incidents in January 2026 alone, a 200% increase year-over-year. Gartner Inc. research cited by the company found that 61% of senior professionals report seeing AI agent automation deployed through approved enterprise software, while 59% report evidence or strong suspicion of unsanctioned AI agents running outside governed pathways.

Most organizations have no infrastructure to respond when those agents misbehave, according to CYGNVS. Coordinating a response spans information technology, security, legal, executives and outside providers such as law firms. Without a playbook or a dedicated platform, teams fall back on email and internal messaging, the same channels an AI under investigation may be able to access or influence.

The CYGNVS technology integrates with AI deployments to surface failure signals across applications, models and agents, then activates a matched playbook and escalates the response into its isolated environment. The product is trained on a proprietary dataset of more than 20,000 major incidents drawn from the insurance industry, data that is not publicly or commercially available.

The platform covers four stages CYGNVS labels Prepare, Practice, Respond and Report. Organizations enter an incident with a playbook tailored to their industry, geography and incident type, run tabletop exercises to build readiness, coordinate live response in a single logged environment, and file regulatory notifications using prebuilt templates. The company said those templates cover requirements across 56 binding laws and 47 frameworks globally, including the EU AI Act, the California AI Act, New York Local Law 144, the Colorado AI Act and U.S. Food and Drug Administration AI and machine learning guidelines.

“The time to deploy AI incident response is alongside the AI project rollout, not afterwards and playing catchup,” said Matt Honea, chief information security officer of Hippocratic AI Inc. “AI incident readiness requires playbooks, tabletop exercises, coordinated response and incident reporting, mirroring exactly what cybersecurity teams have built over the last decade.”

Founded in 2020, CYGNVS raised a $55 million Series A round led by Andreessen Horowitz in January 2023. The company said more than 3,000 organizations use its platform and that customers run more than 50 major incidents a week on it.

The AI Incident Command Center is generally available now.

Image: CYGNVS