Reports

We spoke with Deputy Assistant Director at the Federal Bureau of Investigation, Donald Freese, Information and Technology Branch. Mr. Freese graciously gave us a glimpse into what his session on “Cyber Analytics: Leading Quality Through The Human Dimension” discussed at the Intelliegence Analytics Summit last year.

IDGA's Intelligence Analytics Event, has captured the attention of the Intelligence Community! With more than 75% of the intelligence agenices in attendance, this is the must attend event of the spring. Take a look at this exclusive heat map that details the attendee's of Military, Law Enforcement, and Government Agencies.

Alternatively, feel free to send your request to sponsor@idga.org to receive your copy via email.

As the number and variety of data sources continue to grow exponentially, the U.S. intelligence community, from the DoD to the CIA, have access to more data than ever. However, as the variety and types of data available grow, so do the challenges related to the management and accessibility of this highly sensitive and mission-critical data. In this 7-page industry brief, we take a look at how the U.S. intelligence community is embracing the next wave of intelligence analytics applications & platforms to usher in a new era of espionage, counter-terrorism and warfare. DOWNLOAD to learn more about:

• How intelligence organizations from across the DoD, DOJ and other government agencies plan on expanding their advanced intelligence analytics capabilities in FY20 and beyond
• The cutting-edge intelligence analytics tools & technologies the U.S. intelligence services are currently leveraging and developing such as artificial intelligence, predictive analytics, video analytics & facial recognition
• The challenges & requirements associated with the development & fielding of the next generation of intelligence analytics tools
• Acquisition & budget updates updates 

The U.S. Intelligence Community (IC), both the so-called “alphabet agencies” such as the CIA, FBI, and NSA, as well as the various intelligence components of the Department of Defense are constantly seeking to know the enemy. Whether it is to gain a strategic advantage in war, defend the homeland against foreign threats, or preventing terrorism, the IC uses every tool at its disposal to know and defeat the enemy.

The IC has numerous disciplines, collection methods, and tools that cumulatively collect immense amounts of raw data that it uses to piece together the enemy and their intentions. Yet there is a flaw in the system - not one due to improper practice or ignorance, but an inherent limitation in any organization. At its core, any intelligence organization is made up of and relies on people to analyze the raw data, and convert it into actionable data. This limitation is an inherent bottleneck - the amount of raw data to be analyzed is vastly disproportionate to the available manpower. This reliance on Small Data, only that which has already been analyzed by a human, limits our potential to know our adversaries.

Further, even the most studious of analysts is still imperfect. Whether you consider the effects of fatigue and being overworked, or the effects of inherent cognitive bias, or even simply overlooking crucial data, the answer remains the same. Humans simply cannot accurately analyze information on the scale increasingly needed to effectively contend with the adversaries the U.S. now faces.  

It is no surprise, then, that the U.S. and its adversaries and peers around the world are increasingly looking to technological solutions to bridge this gap. In particular, there is a worldwide push to increase the use of Big Data and Artificial Intelligence (AI) for military and national security applications, especially in intelligence analysis. DOWNLOAD this in-depth report to learn more about:

• the use of Small Data, Big Data, and efforts by the IC to incorporate AI and other technological solutions to enhance their capabilities
• cutting-edge technical solutions for intelligence analysis such as AI, data fusion tools & advanced analytics
• challenges and limitations in developing & deploying these solutions
• what's next on the horizon for intelligence analytics