Law enforcement agencies face an accelerating challenge: screening and vetting at scale—swiftly identifying bad actors, strengthening background investigations, hardening border operations, and continuously vetting criminals and terrorists while safeguarding civil liberties. This panel brings together operational leaders, investigators, adjudicators, technologists, and privacy counsel to examine the full screening lifecycle: initial identity resolution, structured and unstructured data fusion, risk scoring and thresholds, adjudication and redress, and continuous evaluation. Panelists will explore modern tools (analytics, biometrics, AI-enabled triage), governance (policy, due process, bias mitigation), and interagency data-sharing practices that move the needle without over-collecting. Real-world case vignettes will illuminate how agencies tune signal detection to reduce false positives, increase detection yield, and compress cycle times—whether for workforce vetting or border targeting. Secure interagency data sharing can cut cycle times and boost detection without sacrificing due process. Attendees leave with a practical framework, measurable outcomes, and a checklist to align people, process, and data—so screening programs become mission accelerators, not bottlenecks.

Key Topic Discussions:

• Safety of Law Enforcement and the public to quickly resolve identities and identify Bad Actors.
•  Calibrate risk scoring and thresholds to focus on high-value targets.
•  Shift from periodic checks to ongoing evaluation models.
• Use AI-powered triage to increase detection yield
• Incorporate biometrics to strengthen border security and identity verification.

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