Since 2018, Sensity AI has been the first-mover in AI-generated deepfake detection, combining deep learning expertise with classical image, video, and audio forensics, and grounding detection inside threat intelligence rather than treating it as an isolated technical problem.
This approach—building a forensic-grade deepfake detection solution—has enabled us to repeatedly win tenders, both public and private, against much louder companies that have raised tens of millions in venture capital.
The reason for our quiet success is simple: our technology works, and delivers value in real conditions where decisions carry legal, financial, or national-security consequences.
The latest wave of hyper-realistic deepfakes, churned out in their millions, are stretching the fabric of our digital reality, making it impossible to trust your eyes and ears. Sensity AI Deepfake Detection is built to help survive this wave, and all waves into the future.
The impact of gen-AI on digital forensics
Digital forensics teams are facing a structural shift: evidence volumes are exploding, while the reliability of visual and audio material is collapsing. Videos, images, and voice recordings, once treated as objective artifacts, are now routinely manipulated, synthetically generated, or selectively edited to mislead investigators, prosecutors, and courts.
Sensity AI has been successfully deployed directly inside high-security forensic environments to address this fracture and help forensic analysts respond to a rapidly evolving challenge. By integrating at the earliest stage of evidence ingestion, every extracted media file is automatically screened for signs of manipulation before it enters the investigative record.
This has fundamentally changed how authenticity is handled: not as a late-stage expert opinion, but as a default, automated verification step.
The impact has been measurable. Analysts report dramatic reductions in manual review time, faster triage of large datasets, and—most critically—greater confidence when introducing digital media into legal proceedings.
Furthermore, by opening up the ‘black box’ of deep learning when it comes to deepfake detection, forensic reports generated through Sensity AI are reproducible, explainable, and traceable, enabling courts to rely on verifiable technical analysis rather than subjective interpretation.
For Law Enforcement and Forensic Analysis
Investigative units are increasingly confronted with crimes where synthetic media is central. In cases of impersonation, sextortion, child abuse, harassment, and fraud, speed and scale matter as much as accuracy. Every hour spent validating manipulated content is an hour lost for victim protection or suspect identification.
Sensity AI has enabled investigative teams to move from ad-hoc analysis to systematic, scalable detection. Incoming images, videos, and audio files are screened automatically using multi-layer analysis, resulting in a step-change in operational efficiency.
Early detection rates increase significantly, investigator workload is reduced through automation, and synthetic media is identified before it can propagate further or contaminate cases.
Most importantly, technical findings are translated into court-admissible reports, supporting successful prosecutions rather than stalling them.
Sensity AI’s value in investigations is not simply detecting deepfakes—it is enabling investigators to act faster, protect victims sooner, and convert complex AI-deepfake-driven crimes into forensically robust cases that can actually be proven.
For National Security
Modern national security threats increasingly operate below the threshold of traditional conflict. In the era of hybrid warfare, influence campaigns, psychological operations, and synthetic propaganda are deployed at scale to distort perception, erode trust, incite disruption, and destabilize decision-making.
Sensity AI supports numerous intelligence and security teams operating in highly sensitive environments, where data sovereignty, offline operation, and analytical rigor are non-negotiable. Deployed fully on-premise, Sensity AI Deepfake Detection enables continuous monitoring and analysis of suspicious media tied to highly operationalized and coordinated deception.
Intelligence teams can rapidly identify AI-generated content, cluster related narratives, and map repeated synthetic assets across channels and timelines. Rather than reacting to individual pieces of content, analysts can recognize patterns, attribute campaigns, and prioritize responses based on verified technical signals.
For Finance
Banks operate some of the most mature security infrastructures in the world, yet in the last 12 months it has become clear that identity workflows, video calls, contact centers, and KYC (Know Your Customer) processes are increasingly vulnerable to deepfake attacks.
Sensity AI has been successfully deployed on-premise inside banking environments to reinforce these workflows without compromising data sovereignty or customer experience.
Integrated directly into existing identity verification pipelines and call-center systems, Sensity AI Deepfake Detection enables real-time and batch analysis of faces, voices, and media artifacts to detect synthetic identities, voice cloning, and impersonation attempts before transactions are authorized or accounts are compromised.
What made these deployments viable was not just detection accuracy, but architectural compatibility: full offline operation, GPU-accelerated inference, and seamless integration with internal risk engines and escalation processes.
As a result, banks and financial institutions are able to introduce authenticity verification as a native control—flagging high-risk interactions automatically, reducing reliance on manual judgment by frontline staff, and containing fraud attempts at the moment of engagement rather than after losses occurred.
Understanding the deepfake threat landscape
With deepfake volumes exploding, and the quality of synthetic media improving exponentially, nation states, organizations, and businesses are facing an uphill struggle against a broad spectrum of threat actors.
To help you keep pace, Sensity AI’s threat intelligence unit can intercept new malicious deepfake content targeting specific individuals, organizations, or states as soon as it surfaces online. While the Sensity AI Deepfake Detection platform enables people who are not digital forensic experts to better understand and explain the scope of the threat.
This is made possible by our proprietary deep learning technology that can understand conclusively whether videos and images have been manipulated, and how.
How does the Sensity AI Deepfake Detection platform work?
