The solution proposed involves structured collaboration across departments, early involvement of legal teams in AI development, and regular audits of AI outputs to ensure alignment with privacy and compliance policies. The author stresses the importance of maintaining human oversight across AI implementations, especially in areas with significant regulatory implications. This approach, the author argues, not only secures compliance but also positions AI as a strategic tool for growth and risk management.
Key takeaways:
- Corporate functions such as finance, HR, and legal play critical roles in building AI-driven cybersecurity solutions, but challenges arise when these departments operate in silos or fail to coordinate closely with cybersecurity teams.
- Regulations like the GDPR demand demonstrable compliance across business functions, posing challenges when AI systems operate across different departments and can't explain why a decision was made, risking noncompliance.
- The key to effectively managing AI in cybersecurity lies in structured collaboration across IT, HR, finance, and legal departments, with governance frameworks that foster communication and involve legal early in AI developments.
- Proactive collaboration across departments in AI development can establish robust compliance measures that align with regulatory standards, foster trust, enhance business integrity, and position AI as a strategic tool for growth and risk management.