The Anti-Narcotic Task Force was built on the trialed and proven foundations of our Anti-Child Exploitation System [ACES] machine learning and behavioural forensics process.
Designed with the same functionality in mind as the ACES, Anti-Cyber Terrorism Unit [ACTU] and Anti-Organized Crime System [AOCS], ANTF’s machine learning and behavioural forensics was trained to discover and determine acts of narcotic selling and acts for drug enforcement related agencies and departments.
Starting from various tips received about a potential suspect or information, ANTF proactively discovers from big data gathering and case creation through our behavioural forensics processes. ANTF then utilizes its internal bleeding edge, and thoroughly trained machine learning engines to capture extensive and detailed available data on the suspect, victim, actions and contraband and creates a court ready case for law enforcement/intelligence agencies personnel; all of this presented to the end user via a supply chain based narrative.
All artifacts gathered are then stored within our cloud-based secure system, backed by Microsoft Azure, for auditing and recall purposes. ANTF allows agents from multiple departments to converse and track cases together through its online user interface.
Global Intelligence Inc. saw the need for more readily available investigative and intelligence-based information. Our solution: build and create narrative cases (either from direct feeds or our own feed, creating applications and infrastructure) for Law Enforcement and Intelligence communities, by going broader and deeper while treating the crimes being investigated as a business supply chain methodology. This allows us to provide a complete picture of what has happened historically and in real-time. Information which, regardless of big data or data types, would be readily available for all investigators and intelligence analysts without the restrictions of geographical boundaries.