Risk Advisory Services for Managing AI at Scale
Rock (Kyriakos) Lambros
CEO & Founder, RockCyber, LLC
With three decades of experience in emerging technology and cybersecurity, Rock Lambros drives organizations to responsibly harness AI for business growth and societal impact. His expertise in risk management, governance, and compliance is critical to addressing AI's challenges: accountability, security, transparency, and bias.
Aaron Turner
Faculty, IANS Research
Aaron Turner is a multi-decade veteran of the InfoSec community. A serial cybersecurity entrepreneur, he is usually working on multiple projects to better protect people and organizations from sophisticated adversaries. He founded Siriux Security in May of 2020 based on attacks against Microsoft 365 tenants, which was acquired by Vectra in January 2022.
Michael L. Woodson
CIO & CISO, Nomad Cyber Concepts
Michael L. Woodson is the Chief Information Officer (CIO) and Chief Information Security Officer (CISO) of Nomad Cyber Security Concepts, leading enterprise cybersecurity strategy, AI governance, and digital resilience programs. With more than two decades of executive experience, he is recognized for building mature security strategies and advancing cyber risk governance.
Raz Kotler
CISO, Valkore
With over 15 years of deep experience in global cybersecurity leadership, including four CISO roles at institutions like PayPal and leading security engineering for a major Israeli Bank, Raz Kotler is a premier strategic advisor on scaling AI responsibly. As the founder of Valkor, Raz guides enterprises through the complex challenges of AI at scale.
Build an AI Governance Program Designed to Last
With Kovrr’s AI Governance Advisory services enterprises gain white-glove support from planning to execution and long-term continuous governance and monitoring needed to manage AI at scale. Our AI advisory hub brings you the best-in-class market leaders in order to build governance programs that operate consistently across departments and adapt as AI usage expands.
How Enterprises Apply Our AI Governance Advisory
Organizations rely on our advisory model to address governance challenges tied to oversight and AI readiness, such as:
Launching a formal AI governance program across business units and regions
Preparing for frameworks and regulations such as the NIST AI RMF, ISO 42001, and the EU AI Act
Reviewing AI deployments to understand usage, data interactions, and oversight needs
Strengthening safeguards by identifying control gaps and structuring remediation
Prioritizing AI governance program actions according to expected impact on operations
Supporting executive and board oversight with clear ownership and governance practices
These use cases reflect common needs, with the advisory model adapting to each organization.
What a Structured AI Governance Program Enables
A strategic AI governance model gives organizations the alignment needed to guide AI responsibly across the enterprise.
Consistent oversight supported by clear ownership and defined responsibilities
Better decisions informed by visibility into AI usage, safeguards, and operational impact
Readiness for frameworks and regulatory expectations through measurable practices
Improvement efforts prioritized by impact, likelihood, and organizational goals
Stronger collaboration across teams as governance becomes repeatable and understood
A durable foundation ensures governance remains workable as AI usage continues to escalate.
Move From Planning to Practical AI Governance
Sustainable oversight comes from governance that reflects how decisions are made across the business, and our AI advisory services enable teams to maintain that structure by combining expert guidance with the system support needed to manage AI at scale.
