Digital evidence is growing faster than investigative teams can review it. AI can reduce that burden by prioritizing relevant evidence, connecting activity across systems, and accelerating the path from an investigative question to an evidence-supported answer.
But speed alone is not enough. When investigative findings influence incident-response decisions, legal strategy, regulatory reporting, insurance claims, or executive action, teams must be able to validate the underlying evidence, explain how conclusions were reached, and maintain a defensible investigative record.
Join industry experts for practical discussion on the responsible use of AI in digital forensics and incident response. The session will examine where AI can deliver meaningful value, where incomplete context or black-box reasoning can introduce risk, and what governance, validation, and evidence-traceability controls organizations should establish.
The webinar will conclude with a live demonstration of Exterro ARMOUR for FTK Central. See how an investigator can begin with a natural-language question, use AI to plan a supported investigative workflow, and apply Exterro’s forensic technology across live enterprise endpoints to surface, connect, and document relevant evidence for human review.
Learning Objectives:
- Identify where AI delivers the greatest value in digital forensics and incident response.
- Apply strategies to reduce repetitive review and investigative noise without overlooking critical evidence.
- Validate AI-assisted findings against underlying evidence to support accurate investigative outcomes.
- Implement governance controls that support responsible AI-assisted investigations.
- Explain how AI-guided workflows can help teams scale investigative capacity while keeping investigators in control.
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