Modern intelligence pipelines are built for speed, not verification.

Fabricated audio, video, and imagery can enter at any stage—OSINT ingest, analyst review, or briefing—and once trusted, the damage is irreversible.

UnCognito provides deterministic, physics-based validation of media at the point of consumption:

• Detects violations of acoustic and image formation physics
• Operates in real time (<50ms latency)
• Deploys directly at the edge (analyst device)
• Functions offline with no dependency on infrastructure

• Real-time audio and image authenticity validation
• Deterministic outputs (no probabilistic models)
• On-device deployment across secure environments
• High-throughput ingestion and triage

Fraud prevention in contact centers relies heavily on human judgment.

There is no systematic way to verify if a voice is real during a call—creating a critical detection gap.

UnCognito introduces a real-time voice authenticity signal into live calls:

• Analyzes audio via non-invasive media fork
• Generates a risk score during the interaction
• Requires zero changes to existing workflows
• Runs in shadow mode for safe evaluation

• Real-time audio and image authenticity validation
• Deterministic outputs (no probabilistic models)
• On-device deployment across secure environments
• High-throughput ingestion and triage

Identify fraudulent interactions earlier than human operators—without impacting customer experience.

Law enforcement agencies face growing volumes of digital content—but lack reliable tools to determine what is real.

AI-based detection is inconsistent, non-explainable, and vulnerable to adversarial adaptation.

UnCognito provides deterministic media authenticity analysis:

• Identifies synthetic, morphed, and manipulated imagery
• Validates audio evidence using physical signal constraints
• Produces explainable, auditable results
• Operates without training data or model drift

• Image forensics (GAN, diffusion, morph detection)
• Audio authenticity validation
• Consistent, repeatable classification
• Low compute footprint (no GPU required)

Maintain evidentiary integrity and ensure that digital media can be trusted in investigations and court proceedings.

Fraudsters exploit human interaction, not systems.

Call center agents and customers are manipulated in real time, with no mechanism to verify voice authenticity during the attack.

UnCognito adds a real-time authenticity layer to transaction workflows:

• Detects synthetic voices during live interactions
• Flags high-risk conversations as they happen
• Operates as a read-only control within existing systems
• Requires no changes to customer journeys

• Early detection of social engineering attempts
• Real-time risk scoring linked to transactions
• Seamless integration with contact center infrastructure
• Privacy-first design (no content analysis, no data leakage)

Reduce fraud losses by identifying attacks before funds are transferred.

Traditional background checks verify documents—but not the live interaction layer.

This creates a critical gap where imposters can pass interviews undetected.

UnCognito introduces integrated authenticity controls across the hiring process:

• Real-time audio monitoring during interviews
• Image authenticity checks on submitted artifacts
• Simple, actionable risk signals for interviewers
• Shadow mode deployment to measure effectiveness

• Detection of proxy interviewing and voice manipulation
• Image provenance and forensic analysis
• Assist or shadow mode operation
• Audit-ready outputs for defensibility

Protect organizations from insider threats, fraud, and regulatory exposure—before access is granted.