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BEST PRACTICES

With the proliferation of fusion centers and intelligence units, various best practices have emerged to assist criminal justice agencies and organizations with the development and operation of an intelligence unit. This section provides best practices used in law enforcement intelligence operations, fusion centers, and information/intelligence sharing initiatives.

  1. Best Practice Examples
Content Type: External Link

A Governor’s Guide to Homeland Security This is an Adobe Acrobat PDF document

The National Governors Association Center for Best Practices’ article A Governor’s Guide to Homeland Security provides governors with an overview of their homeland security roles and responsibilities and offers some guidance on how to approach issues such as mutual aid, information sharing, obtaining assistance from the military, and protecting critical infrastructure.

Content Type: External Link

Lessons Learned Information Sharing

Lessons Learned Information Sharing (LLIS.gov) is the national network of lessons learned and best practices for emergency response providers and homeland security officials. LLIS.gov’s secure, restricted access information is designed to facilitate efforts to prevent, prepare for, and respond to acts of terrorism and other incidents across all disciplines and communities throughout the United States.

New Jersey State Police Practical Guide to Intelligence-Led Policing This is an Adobe Acrobat PDF document

The New Jersey State Police Practical Guide to Intelligence-Led Policing details the processes that the New Jersey State Police (NJSP) has adopted in order to operationalize the principles of intelligence-led policing (ILP). It was written to ensure that all members of the NJSP share the same understanding of the concepts and vernacular that have been embraced to institutionalize intelligence as the foundation of all operations.

Content Type: External Link

Terrorism Risk Modeling for Intelligence Analysis and Infrastructure Protection This is an Adobe Acrobat PDF document

The U.S. Department of Homeland Security (DHS) is moving increasingly to risk analysis and risk-based resource allocation, a process that is designed to manage the greatest risks instead of attempting to protect everything. Efforts to develop analytical tools necessary to support this approach and institutionalize their use across the department are just beginning. In this context, DHS is exploring how existing risk-analysis tools might be useful for its Homeland Infrastructure Threat and Risk Analysis Center (HITRAC). This RAND report presents the results of three applications of a model routinely used by the insurance industry to assess liability from terrorism risk: the Probabilistic Terrorism Model developed by Risk Management Solutions, Inc. (RMS). Informative and useful findings were taken as a positive indication that the model would be a valuable resource for HITRAC.