AI Governance & Risk Management Services
As organizations rapidly adopt artificial intelligence and generative AI technologies, managing AI-related risks has become essential.
Securim helps organizations build secure, responsible, and compliant AI programs aligned with cybersecurity best practices and emerging governance frameworks such as NIST AI RMF and ISO/IEC 42001.
AI Security Assessments
Build a strong foundation for responsible and secure AI adoption across your organization.
1
AI governance framework design
2
AI acceptable use policies
3
AI oversight and accountability structures
4
Responsible AI principles and governance processes
5
AI inventory and asset management
Outcome: Improved visibility, stronger governance oversight, and clear accountability for AI usage across the enterprise.
AI Governance Program Development
Build a strong foundation for responsible and secure AI adoption across your organization.
1
AI governance framework design
2
AI acceptable use policies
3
AI oversight and accountability structures
4
Responsible AI principles and governance processes
5
AI inventory and asset management
Outcome: Improved visibility, stronger governance oversight, and clear accountability for AI usage across the enterprise.
NIST AI RMF Implementation
Operationalize the NIST AI Risk Management Framework with practical, cybersecurity-focused implementation support.
1
AI RMF gap assessments
2
Risk identification and classification
3
AI risk register development
4
Control mapping and governance alignment
5
AI lifecycle governance and monitoring
Outcome: Reduced AI-related risk exposure, improved governance maturity, and alignment with emerging industry standards.
AI Compliance & Regulatory Readiness
Prepare your organization for evolving AI regulations, governance expectations, and audit requirements.
1
ISO/IEC 42001 readiness assessments
2
AI policy and documentation development
3
Governance evidence collection
4
AI audit preparation support
5
Regulatory readiness assessments
Outcome: Enhanced compliance readiness, improved audit defensibility, and confidence in managing AI responsibly.
AI Vendor & Third-Party Risk Management
Evaluate the security, governance, and operational risks associated with external AI vendors and AI-powered platforms.
1
AI vendor due diligence reviews
2
Third-party AI risk assessments
3
Shadow AI discovery and governance
4
Data governance and privacy evaluations
5
AI contract and security requirement reviews
Outcome: Reduced third-party risk exposure and improved control over enterprise AI usage.
Generative AI Security & Governance
Enable secure use of generative AI tools while maintaining governance, compliance, and data protection standards.
1
GenAI usage risk assessments
2
Secure AI adoption strategies
3
Employee AI usage governance
4
Sensitive data exposure prevention
5
AI monitoring and usage visibility
Outcome: Safer adoption of generative AI technologies without compromising security or compliance.
AI Monitoring, Risk Reporting & Incident Response
Enable secure use of generative AI tools while maintaining governance, compliance, and data protection standards.
1
AI risk dashboards and reporting
2
Continuous AI governance monitoring
3
AI incident response planning
4
AI misuse detection strategies
5
Executive and board-level reporting support
Outcome: Continuous AI risk visibility, improved executive reporting, and faster response to emerging AI-related incidents.
WHY SECURIM?
Securim combines cybersecurity expertise with practical AI governance implementation to help organizations securely adopt and manage AI technologies. Our approach aligns AI governance with cybersecurity, compliance, and operational risk management, ensuring AI initiatives remain secure, scalable, and defensible.
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Whether you are preparing for regulatory requirements, implementing the NIST AI RMF, securing generative AI adoption, or building an enterprise AI governance program, Securim delivers practical solutions tailored to your business objectives and compliance needs.
