AI adoption without security is a liability. Every Black Knight AI engagement is built on a security-first foundation — protecting your data, your people, and your organization at every step.
Every AI implementation we advise on is architected with security as a foundational requirement — not a feature added at the end. We evaluate security implications before any tool or workflow is recommended.
We apply strict data minimization principles to all AI workflows. Only the data necessary for a specific AI function is exposed to AI systems, reducing your attack surface and compliance risk.
Every AI system we help implement maintains comprehensive audit logs. You always know what data was processed, by which AI system, and what outputs were generated — critical for compliance and incident response.
Our frameworks are built to satisfy the most demanding regulatory environments — SOC 2, HIPAA, GDPR, CCPA, and more. We translate complex compliance requirements into practical AI governance policies.
Before recommending any AI tool, we conduct a thorough security assessment of the vendor's data handling practices, security certifications, and contractual protections available to enterprise clients.
We design AI workflows with appropriate human oversight checkpoints. Automated systems are powerful, but critical decisions — especially those with compliance or security implications — require human review.
We help organizations implement AI systems that meet SOC 2 Trust Service Criteria, including security, availability, processing integrity, confidentiality, and privacy controls.
Our healthcare AI implementations are designed to maintain full HIPAA compliance, with Business Associate Agreements (BAAs) required for all AI vendors handling Protected Health Information (PHI).
For organizations operating in or serving EU markets, we ensure AI implementations comply with GDPR requirements including lawful basis for processing, data subject rights, and cross-border transfer mechanisms.
California's privacy laws impose specific requirements on AI systems that process California consumer data. We build CCPA/CPRA compliance into AI governance frameworks from the start.
The NIST AI Risk Management Framework provides a structured approach to managing AI risks. We use NIST AI RMF as a foundation for enterprise AI governance programs.
For organizations with ISO 27001 certification or aspirations, we ensure AI implementations align with Information Security Management System (ISMS) requirements.
Our structured security audit process gives you complete visibility into your AI risk posture and a clear path to remediation.
Comprehensive mapping of all AI tools, integrations, and data flows across your organization — including shadow AI usage.
Evaluation of each AI system against your specific regulatory requirements, data sensitivity levels, and business risk tolerance.
Identification of security and compliance gaps between your current AI posture and your target security standards.
Prioritized action plan to address identified gaps, with timelines, resource requirements, and success metrics.
Creation of AI-specific security policies, acceptable use guidelines, and governance frameworks tailored to your organization.
Periodic security reviews to ensure your AI environment remains secure as your technology stack and threat landscape evolve.
Book a free AI Security Assessment call to discuss your current posture and identify your highest-priority risks.