Artificial intelligence is advancing at a rapid pace, reshaping the operational landscape for law enforcement, intelligence, and national security organizations. As both legitimate institutions and criminal or hostile actors adopt increasingly sophisticated technologies, agencies must accelerate their own modernization to maintain strategic advantage. Readiness now requires the ability to detect, prevent, and counter a wide spectrum of threats spanning from traditional violent and property crimes to complex transnational criminal enterprises, narcoterrorism networks, counterintelligence risks, and both domestic and international terrorism.  As agencies integrate AI-enabled capabilities into their operational toolkits, they must do so responsibly, transparently, and ethically—ensuring these systems reinforce public trust, protect civil liberties, and meet the evidentiary standards of courts and oversight bodies.

This fireside chat brings together senior leaders from law enforcement and national security to explore how AI is transforming operational effectiveness and strategic foresight. Discussion topics will include how AI:

• Enhances predictive threat detection across diverse domains, including insider threats, unmanned aircraft systems (UAS) misuse, diversion of legal drugs or firearms into illicit markets, and early indicators of transnational organized crime or narcoterrorism activity.
• Strengthens national security readiness by identifying patterns associated with foreign intelligence services, influence operations, and counterintelligence vulnerabilities.
• Improves terrorism prevention efforts, using multi-source analytics to surface indicators related to international terrorist networks as well as domestic violent extremists.
• Assesses risk in operational planning, supporting safer and more effective decisions for officers, investigators, and the public during complex operations.
• Fuses real-time intelligence from disparate data streams—including case files, LPRs, sensors, digital forensics, open-source intelligence, and classified or law-enforcement-sensitive sources—to enhance situational awareness during field operations, interdictions, and emergency responses.
• Analyzes large, complex datasets to detect anomalies indicative of financial fraud, healthcare fraud, sanction evasion, cyber-enabled crime, and illicit financing linked to organized crime or terrorist groups.
• Conducts real-time triage of high‑volume public reports, tips, and suspicious activity submissions, helping prioritize those with the greatest potential national security or investigative significance.
• Optimizes deployment of limited resources, predicting crime and threat patterns at national, regional, and local levels and enabling proactive repositioning of personnel and specialized units in anticipation of elevated risks driven by seasonality, socio-economic cycles, geopolitical events, or large-scale gatherings.
• Attendees will gain insight into how agencies are leveraging transparent, explainable AI as a decision-support capability—not autonomous decision-making—to safeguard civil liberties while improving threat detection, response times, officer safety, workforce balance, and overall national security resilience.

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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The intersection of AI, cybersecurity, and operational technology has fundamentally changed the threat landscape, turning AI into a dual-use weapon that serves both as a force multiplier for attackers and as a crucial tool for defenders. Law enforcement and public safety agencies face an expanding, complex attack surface as they combat new AI-driven criminal tactics. This session will explore how AI-driven transformation broadens and reshapes enterprise exposure, why traditional security models struggle to keep up, and what CISOs need to rethink to develop effective defenses. Panelists will discuss governance and security controls for AI-enabled systems, managing identity and access for both human and machine actors, improving detection and response to agentic behaviors, and strategies for building a resilient security approach. Attendees will gain a clearer understanding of how to create a resilient security strategy that protects sensitive criminal justice data and ensures the continuity of vital public services without hindering innovation.

Key Topic Discussions:

• Manage AI-driven risks and security vulnerabilities.
• Mitigate threats from bots and automated service accounts.
• Accelerate threat response using automated tools.
• Preserve data integrity during rapid AI-driven analysis.
• Develop detection protocols for autonomous AI agents.
• Prevent AI-related security failures from causing communication outages.

Advances in artificial intelligence (AI) necessitate law enforcement (LE) domains integrated AI literacy among implementers and personnel.

To ensure that technology adoption leads to real-world efficiency and success, agencies must build public trust and achieve clear outcomes through human-centered data governance that protects privacy while enhancing service delivery. Leading experts in this fireside chat will discuss how increased AI literacy ensures AI adoption directly supports mission success, reduced administrative burdens, by automating routine tasks, and allowing staff to focus on high-impact work. Additionally, experts will explore how implementing human-centered data governance and privacy protections helps law enforcement and public safety agencies shift from reactive to proactive service models while maintaining public trust.

Potential Topics

• Empowering AI-ready personnel.
• Turning tools into mission success.
• Protecting privacy and public trust.
• Shifting from reactive to proactive data-driven public safety