Law Enforcement

In an era where AI-powered digital deception is on the rise, our cutting-edge deepfake detection solution offers law enforcement agencies a powerful weapon in the fight against cyber criminals.

Law Enforcement

Results you can count on

+12.000%

Deepfake scams identified

+2500

Cyber criminals
tracked

+70

Agencies
using Sensity

Sensity for Law Enforcement

Citizens Protection

With the number of sophisticated scams reaching unprecedented levels, our solution stands as a crucial line of defense, enabling law enforcement agencies to protect citizens and uphold digital integrity.

  • Combating Digital Financial Fraud

    Sensity can support operators to identify and investigate cases of digital fraud, such as identity theft, financial scams and deceptive online practices that use manipulated media to exploit victims.

  • Training and Awareness Programs

    Law enforcement agencies can leverage Sensity’s deepfake detection tool for training and awareness programs to enhance their capabilities in identifying and mitigating digital threats. By integrating Sensity into their training curriculum, officers can learn to recognize deepfakes and understand their potential impact on public safety and trust. These programs can also raise awareness among law enforcement personnel about the latest techniques used by malicious actors to create and disseminate deepfakes.

  • Romance Scams

    Deepfake romance scams, involving cybercriminals using manipulated videos and images to deceive victims into false relationships for financial gain, are an increasing threat. Our Sensity deepfake detection technology equips law enforcement agencies to track and identify these scams with precision. By analyzing digital content to detect deepfakes, Sensity helps law enforcement distinguish between authentic and fraudulent interactions

Boost security and reduce exposure
to AI-generated threats

Detailed Pixel Level Report
Detailed File Forensic Analysis
On Premise Deployment
Real Time Detection
Analysis from File and URLs

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