Generative AI – Vendor Implementation Issues and Tradeoffs for Law Enforcement and Intelligence Agencies

Sponsored by: TeleStrategies' ISS World

Online webinar:
Tuesday, December 2, 2025
9:00-10:00 AM - New York, EST
14:00-15:00 - London Time

Presented by:
Matthew Lucas, PhD Computer Science - TeleStrategies ISS World

Free for Law Enforcement, the government intelligence community, private enterprise cyber security managers and ISS vendors. Pre-registration with your government or corporate issued email address is required.

Click here to register  Click Here To Register


Generative AI – Vendor Implementation Issues and Tradeoffs for Law Enforcement and Intelligence Agencies

On the ISS World show floor vendors are demonstrating amazing generative AI tools that allow analysts and investigators to effortlessly engage, analyze, visualize massive network data and OSINT datasets, and “connect the dots” that would otherwise require enormous manual effort. The technology and use cases are compelling. Generative AI is quickly becoming a “must-have” tool for OSINT, image, video/CCTV and network data analysis and correlation.

Despite the incredible progress in toolkits, AI is not a simple “plug and play” technology. Vendors and practitioners will have to make tradeoffs – which models to use (small versus LLMs); hosting versus on-prem; point solutions versus fully integrated systems; and more.

This webinar will cover the key GAI issues, tradeoffs and implementation considerations that both vendors and agencies must address. Specific topics include: 

  • Addressing hallucinations, citations and accuracy
  • Data security and governance
  • Retrieval augmented generation
  • Tuning and prompt engineering
  • Small model and hybrid implementation options
  • Operations and server investment requirements
  • Data mapping, integration standards
  • Embedding models
  • Case studies and illustrations

Presented by:
Matthew Lucas, PhD Computer Science - TeleStrategies ISS World

Click here to register  Click Here To Register

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