See the Unsaid: How AI Spots Deception in Real Time

Organizations increasingly struggle to verify the authenticity of written, recorded and online communication. As intentionally deceptive content becomes more common, the ability to detect linguistic indicators of deception early is critical for reducing operational, legal and reputational risk.

In this webinar, we demonstrated how our deception detection platform identifies deceptive language across text, audio and video, giving analysts fast, defensible insights they can act on. We walked through our workflow from ingesting personal statements, interviews, OSINT/HUMINT, or digital media to highlighting deception cues and supporting clear analytic assessments.

Attendees learned:

• How to mitigate organizational risk by detecting deceptive language early in reports, interviews and digital communications
• Methods for extracting hidden information that give investigators clearer leads and sharper lines of inquiry
• How to vet OSINT and HUMINT using rapid deception checks to validate credibility under time pressure
• Techniques for analyzing data at scale to identify deception markers across large volumes of data
• How to build repeatable workflows that separate truthful vs. deceptive information to support confident, defensible decision-making