As enterprises race to deploy AI agents across their operations, a new challenge is emerging: what happens when those systems fail, leak data, make unauthorized decisions, or create regulatory exposure?
To address that very real issue, CYGNVS has introduced a new AI Incident Command Center, a dedicated environment designed to help organizations coordinate and manage AI-related crises. Built on the company’s out-of-band cyber resilience architecture, the platform provides a secure space for security teams, AI leaders, executives, legal stakeholders, and third-party advisors to prepare for, respond to, and document AI incidents without relying on the potentially compromised systems under investigation.
“a16z has been seeing the entire gamut of AI technologies and the increasing trend of AI incidents. AI incident response needs to be run out-of-band from the corporate network and out of reach of the AI itself,” said Patti Degnan, Operating Partner at a16z and former CISO, Notion. “If AI has access to the playbooks or communications of the response, it could obfuscate, evade, or manipulate. This is no different from isolating cyber incident response from ransomware or threat actors.”
The OECD AI Incidents and Hazards Monitor recorded 596 AI-related incidents in January 2026 alone, representing a 200% increase year over year. Those incidents can take many forms, from hallucinations that create legal or customer-facing risk to model bias, sensitive data exposure, compliance violations, and autonomous agents taking actions that diverge from their intended objectives, yet most organizations still lack established response processes for these scenarios.
When an AI incident occurs, organizations often need to coordinate across security, IT, legal, executive leadership, and outside partners such as law firms or forensic specialists. Teams often lean on email, chat platforms, and other internal systems to manage the response, despite the possibility that those same systems could be influenced by, connected to, or monitored by the AI system under review.
According to the release, “CYGNVS patented technology integrates with AI deployments to surface failure signals across applications, models and agents, activating the matched AI incident playbook and escalating response into its out-of-band environment. The AI Incident Command Center is trained on an exclusive dataset of more than 20,000 major incidents from the insurance industry, data not publicly or commercially available, giving organizations specific and actionable guidance rather than generic advice.”
“The time to deploy AI incident response is alongside the AI project rollout – not afterwards and playing catchup,” said CYGNVS customer Matt Honea, CISO of Hippocratic AI. “AI incident readiness requires playbooks, tabletop exercises, coordinated response and incident reporting, mirroring exactly what cybersecurity teams have built over the last decade. CYGNVS gives organizations an end-to-end platform for managing AI incidents.”
The CYGNVS AI Incident Command Center covers the full lifecycle of Prepare-Practice-Respond-Report.
- Prepare: Organizations enter any AI incident with a playbook already tailored to their industry, geography and incident type, covering bias, model drift, hallucinations, multi-agent mismatch, data leakage and agentic runaway, with step-by-step role-based guidance and fine-grained access control.
- Practice: Teams build muscle memory for AI incidents through tabletop exercises across functions, with After-Action Reports generated automatically to capture learnings and close gaps.
- Respond: When an AI incident escalates, the response does not unravel across disconnected tools. Security teams, legal, executives, outside counsel and AI vendors work from a single secure environment, with every decision logged, timestamped and defensible.
- Report: Pre-built AI regulatory templates cover notification requirements across 56 binding laws and 47 frameworks globally, including EU AI Act, California AI Act, NY Law 144, Colorado AI Act, FDA AI/ML guidelines, so organizations spend less time building forms and more time managing the response.
“Customers have been running over 50 major incidents per week on CYGNVS,” said Arvind Parthasarathi, Founder and CEO of CYGNVS. “When they started facing AI incidents, their teams, executives, and external providers were already on the platform. The AI Incident Command Center is a natural extension of that trust, with purpose-built playbooks, scenarios, and regulatory reporting for a class of incident that didn’t exist a few years ago.”
CYGNVS AI Incident Command Center is now generally available.
