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www.fbinaa.orgJ A N
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F E B
About the Author:
Louis
F. Quijas
is a former law
enforcement
professional
who has served at both the
federal and local levels. His
storied career includes ap-
pointments by the FBI Di-
rector to oversee the Office
of Law Enforcement, and by
the President of the United
States, as the Assistant Secre-
tary for the Office for State
and Local Law Enforcement
at the Department of Home-
land Security. Lou has also served on several national boards
- most notably, as President of the National Latino Peace Of-
ficers Association, and a member of the Executive Commit-
tee of the International Association of Chiefs of Police. He
currently serves on the National Sheriffs Association’s Global
Policing Committee.
Digital Intelligence Helps Law
Enforcement Protect the Innocent
Digital data
– especially images and video - plays
an increasingly important role in investigations
and operations of all kinds. Enabling access,
sharing and analysis of this digital data from
mobile devices, social media, cloud, computer
and other sources helps investigators build the
strongest cases quickly, even in the most complex
situations.
The goal for law enforcement is to find rel-
evant, actionable digital evidence quickly. Part-
nering with companies such as
Cellebrite
for
solutions that automate analysis of huge volumes
of digital data will help achieve a shared goal: to
find and protect exploited children, and make a
safer world more possible every day.
1
https://www.fbi.gov/news/stories/the-scourge-of-child-pornography3
and CSE image categorization can automati-
cally identify images and videos using machine
learning neural network-based algorithms. Once
categorized, images can be filtered based on cat-
egories such as face, nudity, and suspected child
exploitation, so relevant images and videos can
be identified quickly.
Quickly Identify and Cross-Match
Victims with Facial Detection
Powerful algorithms can now automatically
detect faces within any picture or video available
to the system, enabling investigators to immedi-
ately and accurately cross-match individual faces.
This allows investigators to quickly identify ad-
ditional images or videos of the same victim.
Analyze Conversations for Potential
Luring or Abuse
Natural language processing goes beyond
regex and simple watch lists to uncover names,
addresses, locations and more from artifacts like
emails, websites, text messages or even images that
contain text, using OCR, in multiple languages.
Leverage Public Domain Cloud Data
to Correlate Evidence
Visualize and analyze publicly available data
from supported social media and cloud-based
sources in a unified format to track behavior, un-
cover common connections and correlate critical
evidence that can help build a stronger case.
Seamless Integration with Project VIC,
CAID and Other Hash Databases
Existence of known incriminating images
can be automatically identified by matching im-
age hash values, and can then be classified using
pre-defined CSE severity categories. Previously
unknown images that are discovered can also be
categorized, tagged and exported back to Project
VIC and CAID databases in a seamless and inte-
grated process.
A Collective, Collaborative Fight to
Serve and Protect
Preventing child exploitation takes collabo-
ration, real-time information and an ongoing
commitment to identify every victim quickly
and get criminals – and the content they produce
and share – off the streets. With more and more
children using mobile devices at an earlier age,
the risks are only getting bigger.
Analytics Are Changing the Fight Against Child Exploitation
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