Page 91 - Cyber Defense eMagazine July 2024

Before this can happen, however, the DevOps teams must be equipped with the necessary knowledge
about AI compliance and the latest cybersecurity practices, and downstream user teams, from tech
specialists to management, must also understand compliance issues that might arise. To future-proof
your organization against problematic, but avoidable, compliance issues, consider these elements of an
AI security culture, which are both strategic and practical:

Risk Assessment

Conducting thorough risk assessments can identify potential compliance risks your organization faces.
In addition to being regular, these assessments should be exhaustive, and involve scrutiny of every
internal decision related to AI, from reviewing data handling procedures to comprehensively analyzing
how AI impacts privacy, fairness, and transparency within your organization to reviewing and auditing
security protocols. Such assessments should be the foundation of your cybersecurity strategy, ensuring
that every aspect of AI deployment is scrutinized for potential risks.

Policy Management

Developing clear and robust policies is essential for guiding all aspects of organizational behavior in your
organization, and AI-related activities must be included. AI governance policies should outline the
expectations for employee conduct, the controls in place to support those expectations, and the
consequences of non-compliance.

Technical Controls
Implementing technical controls, such as policy-based access and traceability mechanisms, to monitor
and manage how AI tools are used within your company can go a very long way toward ensuring your
digital infrastructure remains secure against both internal and external threats.

Transparency and Accountability

Discussing accountability with a group of decision-makers usually guarantees applause; transparency
not so much. But early GenAI deployments have shown that it’s tough to have one without the other.
Maintaining transparency with employees about how AI technologies are used by, for, and within your
company helps build trust and accountability, and lessen resistance to compliance mandates. It’s also
important that external stakeholders, customers, and the public understand what AI-dependent measures
are in place to safeguard their data and privacy.

Cyber Defense eMagazine – July 2024 Edition 91
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