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AI Risk Management Platform — Identify, Assess, and Mitigate AI Risks Before They Become Incidents

Govern365 helps enterprises systematically manage AI risks across their organization—aligned to EU AI Act, ISO 42001, and NIST frameworks.

  • Used by 500+ enterprises
  • SOC 2 Type II certified
  • Real-time risk monitoring
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Why AI Risk Management Is No Longer Optional

Organizations deploying AI systems face unprecedented risks—from regulatory penalties to reputational damage. AI risk management isn’t just compliance anymore; it’s a business imperative.

Regulatory Pressure

EU AI Act, FTC guidelines, and industry regulations demand documented AI risk management. Non-compliance carries fines up to €30M or 6% of revenue.

Reputational Risk

AI failures go viral. Biased algorithms, data leaks, or hallucinations can erode customer trust and brand value in hours.

Bias & Fairness

AI systems inherit biases from training data, leading to discriminatory outcomes and legal liability in hiring, lending, and criminal justice.

Security Vulnerabilities

AI models are targets. Prompt injection, data poisoning, and adversarial attacks can compromise system integrity and expose sensitive data.

Model Drift

Real-world data changes over time. Models that performed well in training can degrade in production, leading to poor decisions and business impact.

Operational Failures

System downtime, vendor lock-in, and unmanaged dependencies create cascading failures that disrupt critical business operations.

Types of AI Risk Your Organization Faces

Effective AI risk management requires understanding the full spectrum of risks. Here are the eight primary categories:

Bias & Fairness Risk

Discriminatory outputs, unfair treatment of protected classes, perpetuation of societal biases in AI decisions.

Security & Adversarial Risk

Prompt injection, data poisoning, model theft, adversarial examples designed to fool AI systems.

Privacy & Data Risk

Training data exposure, PII leakage, consent violations, model inversion attacks that reconstruct private data.

Reliability & Performance Risk

Hallucinations, model drift, accuracy degradation, out-of-distribution failures in production environments.

Transparency & Explainability Risk

Black box decisions, inability to explain AI outputs, lack of audit trails for regulatory compliance.

Regulatory & Compliance Risk

EU AI Act non-compliance, ISO 42001 gaps, NIST AI RMF misalignment, industry-specific regulatory violations.

Operational Risk

System downtime, dependency failures, vendor lock-in, lack of redundancy in critical AI infrastructure.

Reputational Risk

Public AI failures, social media backlash, loss of customer trust, negative media coverage and brand damage.

Building an AI Risk Management Framework

Systematic AI risk management follows a proven 5-step process—from discovery to continuous improvement.

1

Identify

Discover and catalog all AI systems and their risk profiles across your organization.

2

Assess

Evaluate risks using contextual scoring aligned to regulatory frameworks (ISO 42001, EU AI Act, NIST).

3

Mitigate

Implement controls, assign owners, set remediation deadlines, and track mitigation progress.

4

Monitor

Continuous monitoring for emerging risks, model drift, and incident detection in production.

5

Report

Generate risk reports for leadership, regulators, and auditors with board-ready dashboards.

How Govern365 Makes AI Risk Management Systematic

Govern365 consolidates all AI risk management activities into a unified platform designed for modern enterprises.

Centralized Risk Register

All AI risks in one searchable, filterable register. Track severity (Moderate/High/Critical), mitigation status (Not Started/In Progress/Completed), risk level, owners, and target remediation  dates.

  • Add and categorize new risks in seconds
  • Filter by severity, status, or ownership
  • Assign owners and set accountability
  • Track mitigation deadlines

Contextual Risk Scoring

Intelligent risk assessment aligned to major frameworks. Govern365 automatically scores risks based on ISO 42001, EU AI Act high-risk categories, and NIST AI RMF considerations.
  • Framework-aligned scoring methodology
  • Automatic severity classification
  • Risk impact and likelihood matrices
  • Customizable risk thresholds

AI Model Inventory

Complete registry of all AI and LLM models in your organization. Link models to use cases, track approval status, and maintain audit trails for governance.
  • Model discovery and auto-classification
  • Approval workflow integration
  • Risk level linkage to use cases
  • Audit trail and version tracking

Incident-to-Risk Linkage

Log AI incidents with severity classification and root cause analysis. Automatically link incidents back to underlying risks for continuous improvement and pattern detection.
  • Incident logging with severity triage
  • Root cause analysis framework
  • Automatic risk correlation
  • Trend analysis and insights

Vendor Risk Management

Assess and monitor third-party AI vendor risks. Track vendor approval status, SLA compliance, and security posture to manage outsourced AI dependencies.
  • Vendor risk scoring framework
  • Security compliance tracking
  • SLA and performance monitoring
  • Vendor audit trail and review status

Automated Alerts & Workflows

Stay ahead of risk escalation. Automated notifications when risk levels change, deadlines approach, or new incidents are detected. Route approvals and track mitigation workflows.
  • Real-time risk escalation alerts
  • Deadline reminders and SLA tracking
  • Incident notification system
  • Approval routing and workflow tracking

AI Risk Management Across Regulatory Frameworks

Govern365 helps organizations stay compliant across multiple regulatory regimes, reducing the burden of multi-framework management.

EU AI Act Compliance

Map and manage risks aligned to EU AI Act high-risk categories. Govern365 tracks prohibited practices, transparency requirements, and documentation for regulatory audits.

ISO 42001 Standard

Align risk management to ISO 42001 Annex C risk sources. Document controls, maintain audit trails, and demonstrate systematic AI governance for certification.

NIST AI Risk Framework

Organize risk management around NIST AI RMF functions: Govern, Map, Measure, and Manage. Build risk management practices aligned to US government guidance.

Who Needs AI Risk Management

AI risk management is essential for organizations across all sectors managing AI systems. Here are the key stakeholder groups:

Compliance & Legal Teams

Document compliance, manage regulatory requirements, and prepare for audits across multiple frameworks.

Chief Information Security Officers (CISOs)

Monitor AI security risks, manage vendor risk, and ensure threat detection in AI systems.

Chief Technology Officers (CTOs)

Govern AI model development, track model inventory, and ensure responsible AI engineering practices.

Board & Executive Leadership

Understand organizational AI risk posture, track progress on mitigation, and communicate risk to stakeholders.

Trusted by Leading Organizations

Govern365 helps enterprises systematically manage AI risks and stay compliant with evolving regulations.
“Govern365 gave us the visibility we needed to understand our AI risk landscape. Within weeks, we identified critical gaps and implemented controls. It’s transformed how we manage AI governance.”

- Sarah Chen

Chief AI Officer, FinTech Global

“Managing AI risk across 40+ models was chaos until Govern365. Now we have a centralized register, automated alerts, and clear ownership. Compliance audits used to take weeks; now it’s days.”

- Michael Rodriguez

CISO, Healthcare Enterprise

“The framework alignment is fantastic. We can show auditors exactly how our AI risk management aligns to ISO 42001 and NIST. It’s the documentation framework we didn’t know we needed.”

- Dr. Priya Patel

Director of AI Governance, Tech Innovation Company

By GAICC — Advancing Responsible AI Governance

Melbourne · London · New York

Frequently Asked Questions About ISO 42001 Compliance

What is AI risk management?
AI risk management is the systematic process of identifying, assessing, mitigating, and monitoring risks associated with artificial intelligence systems. It encompasses risks related to bias, security, privacy, performance, compliance, and reputational damage. Effective AI risk management helps organizations deploy AI responsibly while meeting regulatory requirements.
AI systems can cause significant harm if not properly managed. Risks include algorithmic bias leading to discrimination, security vulnerabilities exposing sensitive data, model failures causing operational disruptions, and regulatory non-compliance resulting in penalties. The EU AI Act alone imposes fines up to €30M or 6% of revenue for high-risk AI violations. Systematic risk management mitigates these threats and builds stakeholder confidence.
The eight primary categories of AI risk are: (1) Bias & Fairness Risk, (2) Security & Adversarial Risk, (3) Privacy & Data Risk, (4) Reliability & Performance Risk, (5) Transparency & Explainability Risk, (6) Regulatory & Compliance Risk, (7) Operational Risk, and (8) Reputational Risk. Each category requires specific controls and mitigation strategies.
An AI risk management framework is a structured approach to managing AI risks. It typically follows these steps: Identify (discover AI systems and risks), Assess (evaluate risk severity and likelihood), Mitigate (implement controls and remediation), Monitor (continuous oversight and incident detection), and Report (communicate risk posture to leadership and regulators). Frameworks can be aligned to standards like ISO 42001, NIST AI RMF, or regulatory requirements like the EU AI Act.
AI risk assessment involves evaluating likelihood and impact of potential harms. Key dimensions include the AI system’s context (where and how it’s used), the population affected, the severity of potential harm, and the likelihood of that harm occurring. Assessment methodologies can incorporate impact-likelihood matrices, expert judgment, technical audits, and automated risk scoring. Contextual factors like regulatory requirements and organizational risk appetite should inform assessment priorities.
The NIST AI Risk Management Framework (AI RMF) is a US government resource for managing AI risks. It organizes AI risk management around four functions: Govern (establish policies, accountability, and oversight), Map (understand AI systems and their context), Measure (assess and monitor risks), and Manage (implement controls and respond to risks). It’s widely adopted by organizations seeking structured, standards-aligned AI governance.
ISO 42001 is the international standard for AI management systems. It provides a structured approach to establishing, implementing, maintaining, and continually improving AI governance and risk management. Annex C of ISO 42001 identifies common AI risk sources and mitigation approaches. Organizations pursuing ISO 42001 certification must demonstrate systematic AI risk identification, assessment, mitigation, and monitoring aligned to the standard’s requirements.
AI model risk management focuses on managing risks specific to machine learning models throughout their lifecycle. This includes risks during development (poor data, inadequate testing), deployment (performance degradation, model drift), and operation (data drift, fairness issues). Model risk management typically tracks model inventory, approval status, performance monitoring, and remediation when models underperform or violate fairness requirements.
Govern365 provides a unified platform for AI risk management with: a centralized risk register, contextual risk scoring aligned to frameworks (ISO 42001, EU AI Act, NIST), AI model inventory tracking, incident-to-risk linkage, vendor risk management, real-time dashboards, and automated alerts. It streamlines the entire AI risk lifecycle from identification through mitigation and reporting.
AI risk assessment is the process of identifying and evaluating AI risks—understanding what could go wrong and how likely/severe that is. AI risk management is the broader discipline that encompasses assessment plus mitigation, monitoring, and reporting. Assessment is one step within the larger AI risk management process. Effective AI risk management requires systematic assessment, but assessment alone without mitigation and monitoring is insufficient.
Yes. Govern365 is designed to help organizations meet requirements from EU AI Act, ISO 42001, NIST AI RMF, and industry-specific regulations. It provides framework-aligned risk scoring, documentation audit trails, regulatory reporting capabilities, and compliance dashboards. Organizations can demonstrate systematic AI governance to regulators and auditors.
Govern365 pricing depends on organization size, number of AI systems, and required features. We offer flexible plans starting with a free trial. Contact our sales team for a custom quote based on your organization’s needs. Most enterprises find Govern365 cost-effective compared to the risk of unmanaged AI systems and regulatory non-compliance.

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Transforming AI Risks into Strategic Assets.

  • ISO 42001 Ready Frameworks
  • Automated EU AI Act Audits
  • Real-time Risk Dashboards

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