Is Your AI System Fully Operational?
It's important to verify if the MDR provider's AI is production-ready or still under development. Many vendors may present their AI as mature while still in beta. Look for evidence that the AI is actively driving measurable outcomes in real-world environments. Additionally, inquire about how the AI is currently applied—whether it contributes to initial threat detection or is involved in investigation and response processes.
What Actions Can Your AI Take Autonomously?
Understanding the autonomous capabilities of the AI is crucial for maintaining control over incident response. Providers should clearly document the actions AI can take independently, such as endpoint isolation or file quarantine, and specify which actions require human validation. Additionally, there should be role-based approval workflows for high-impact decisions, ensuring that human oversight is always integrated into the process.
How Do You Ensure AI Decision-Making Transparency?
A mature MDR provider should offer detailed reasoning behind each AI-driven action, avoiding 'black-box' operations. This includes providing an evidence trail that explains what actions were taken, why they were taken, and the context behind those decisions. Daily operational summaries can also help teams understand AI activity and its impact, while exportable evidence packages should be available for audits and investigations.
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