Your AI risk is moving faster
than your GRC platform
Legacy GRC was built for IT risk in a static world. AI introduces threat surfaces, regulatory obligations, and governance complexity that no spreadsheet or point solution was designed to handle. RiskOpsAI™ was built from the ground up to close this gap — combining continuous AI risk quantification, autonomous control monitoring, and third-party threat intelligence into a single AI-native platform that governs the full lifecycle of AI risk, from model onboarding to agentic deployment.
AI threats don't wait for your next audit cycle
Prompt injection, model inversion, adversarial inputs, and shadow AI create risk that compounds daily. Legacy SIEM and GRC tools weren't built to see them.
Compliance and standards don't make things simple
EU AI Act, NIST AI RMF, ISO 42001, CMMC 2.0 — each with overlapping requirements, separate evidence, and manual mapping. The compliance burden scales faster than the team.
Red, amber, and green don't fund a security program or satisfy a regulator. AI risk needs to be expressed in financial terms before leadership can act on it.
Three Pillars. One Continuous Governance Engine. The RiskOpsAI™ Platform
Secure AI
AI threat identification — prompt injection, model inversion, data poisoning, and shadow AI
Risk prioritization — cuts alert noise, focuses response on what matters
Automated remediation — agents close gaps without waiting for manual tickets
Protect AI
230+ frameworks — Unified Common Control Framework™ maps once, satisfies many
Control effectiveness scoring — know what's working, not just what's deployed
Control coverage gaps — surface blind spots before regulators do
Autonomous Risk Register™ — risk posture continuously updated, never manually assembled
IRMD® — integrated risk management designed for AI-native environments
ROAR® — risk orchestration with automated reporting, alerting, and ticketing
Every Major AI Regulation. One Governance Engine.
EU AI Act readiness and high-risk classification
The EU AI Act mandates documented risk management, transparency, and human oversight for high-risk AI systems. RiskOpsAI maps your AI inventory to Article 9 requirements, maintains the technical documentation the Act demands, and keeps your conformity posture current as the regulation phases in through 2026 and beyond.
NIST AI RMF implementation and continuous alignment
The NIST AI Risk Management Framework's Govern, Map, Measure, and Manage functions require ongoing operational discipline — not a one-time assessment. RiskOpsAI operationalizes all four functions with continuous monitoring, the Autonomous Risk Register™, and automated evidence collection aligned to NIST's AI RMF playbooks.
CMMC 2.0 Level 2 and 3 requirements now extend to AI systems handling CUI. RiskOpsAI's Unified Common Control Framework™ maps CMMC practices to your AI environment, TTEM™ monitors for AI-specific threats to controlled unclassified information, and continuous evidence collection keeps you assessment-ready without the quarterly scramble.
ISO 42001 AI management system certification
SO 42001 is the first international standard for AI management systems — and enterprise buyers are beginning to require it in procurement. RiskOpsAI structures your AI governance program to ISO 42001's Annex A controls, automates the audit evidence your certification body needs, and keeps your AIMS current as your AI portfolio evolves.
Model risk governance for AI in financial services
SR 11-7 model risk management guidance now applies explicitly to AI and machine learning models. RiskOpsAI extends your model inventory to cover AI systems, tracks validation status and performance drift continuously via the Autonomous Risk Register™, and produces the board-level reporting your model risk committee and examiners expect — in financial terms, not traffic lights.
FDA's predetermined change control plan requirements demand that clinical AI governance is built into the model lifecycle — not bolted on at audit time. RiskOpsAI tracks model performance, documents change protocols, and maintains the continuous validation evidence FDA reviewers and Joint Commission auditors need to demonstrate that your AI systems meet patient safety obligation
One Platform. Many Use Cases.
Third Party Threat Exposure Management
Monitoring and governing data flows into vendor AI systems — applying guardrails across multi-cloud environments to eliminate third-party risk blind spots.
Control Effectiveness and Control Testing
Managing multiple security and compliance tools results in inefficiency, blindspots, control gaps, and unnecessary operational costs.
Continuous Compliance Automation is an AI-Native continuous assessment approach that provides a near-real time holistic evaluation of compliance gaps and risk exposure.
Red Teaming of AI Pipeline
Monitoring and governing data flows into vendor AI systems — applying guardrails across multi-cloud environments to eliminate third-party risk blind spots.
AI SOC Management
Managing multiple security and compliance tools results in inefficiency, blindspots, control gaps, and unnecessary operational costs.
CMMC Compliance Automation
Mapping, monitoring, and automating compliance across all 14 CMMC control families and three certification
levels.
The numbers that matter to the board and the CISO
Built by Fortune 500 CXOs for Fortune 500 CXOs
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Frequently Asked Questions about RiskOpsAI
What is the Autonomous Risk Register?
The Autonomous Risk Register is the core product of RiskOpsAI, designed to automate risk management and ensure compliance. It provides businesses with real-time insights, helping you maintain an up-to-date understanding of potential risks in your operations.
How does your AI governance platform ensure compliance?
Our AI governance platform employs advanced algorithms that continuously monitor regulations and compliance requirements specific to your industry. This proactive approach helps you stay ahead of compliance challenges and reduce potential liabilities.
What is the pricing structure for RiskOpsAI?
We offer customizable pricing plans based on the size of your organization and the specific services needed. For detailed pricing information, please contact our sales team for a tailored quote.
How long does it take to implement the Autonomous Risk Register?
Implementation time varies depending on your organization's complexity and needs. Generally, we aim for a streamlined process that can be completed within 4 to 6 weeks, ensuring you achieve quick results.
What kind of support do you provide after implementation?
We offer comprehensive post-implementation support, including dedicated account management, training sessions, and ongoing consultation to ensure you maximize the benefits of our platform.
Can the platform integrate with our existing systems?
Yes, RiskOpsAI is designed to integrate seamlessly with various existing systems and tools. Our technical team will work with you to ensure a smooth integration process tailored to your operational workflow.
Is there a guarantee on the results?
While we cannot guarantee specific outcomes due to the unique nature of each business, we are committed to providing proven solutions that have successfully mitigated risks for our clients. Our case studies and testimonials demonstrate our reliability.
What industries does RiskOpsAI serve?
RiskOpsAI serves a wide range of industries, including financial services, healthcare, manufacturing, and technology. Our customizable solutions are adaptable to meet the specific needs of various sectors.
Elevate Your Risk Management with Our AI Governance Platform
Book a no-obligation, 30-minute consultation to explore how the Autonomous Risk Register can create and tailor your AI Governance strategy