Sign in to unlock valuable content and features from our AI-driven platform. Receive timely technology updates and the latest information from the solution providers who can help you realize your goals.
Start your journey by entering your name and email address below:
Please confirm your email address!
We are going to send a confirmation email to your email address to let you receive timely technology updates and the latest information from the solution providers who can help you realize your goals.
Is this you? Please confirm your name and email address below to receive the requested information.
Please check this box to confirm that you are opting-in to receive communications from DataSmart and the data sharing outlined in our privacy policy.
Initializing
Loading
AI Fact or Fiction: 10 Questions to Ask MDR Providers About AI Capabilities
Though Agentic AI is reshaping the way MDR providers detect and respond to threats, many solutions are still in beta or lack meaningful automation. This eBook, "AI Fact or Fiction: 10 Questions to Ask MDR Providers About AI Capabilities," offers 10 essential questions to help security leaders evaluate MDR platforms and avoid AI hype. Download your complimentary copy to understand what real Agentic AI looks like, how it accelerates detection and response, and what outcomes to expect. Contact Data-Smart for a strategic consultation.
Please enter your information below to view this content:
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.
AI Fact or Fiction: 10 Questions to Ask MDR Providers About AI Capabilities
published by Data-Smart
Data-Smart was founded on the premise of “Our Success is measured on how little you need us!” Over our 27 year history, we have focused on providing technology and services that improve businesses run. Whether you need a managed services partner, telephone or computer network design, or just occasional support for computers and applications, we are the recognized leader in southern Minnesota. For more information, visit our website at data-smart.com.
.jpg "Data-Smart")
Sign in with LinkedIn