Attestiv CEO and Co-Founder Nicos Vekiarides recently joined SecureITWorld to discuss DeepScan, digital trust, and why file validation is becoming more important as generative AI advances.
The conversation explores how organizations are moving beyond isolated deepfake detection signals toward broader validation workflows for submitted photos, documents, audio, and video. As AI-generated and manipulated content becomes easier to create, businesses need practical ways to determine whether submitted files can be trusted before they influence claims, fraud, risk, compliance, onboarding, or operational decisions.
Key takeaways from the interview include:
Validation requires a holistic approach. DeepScan aggregates multiple signals and turns them into a decision process.
Data protection has changed. It is no longer only about protecting systems and records; organizations also need to understand whether submitted data is real, manipulated, reused, or trustworthy.
Integration must be flexible. File validation needs to fit existing workflows through dashboards, APIs, and configurable processes.
Content credentials are valuable, but not sufficient alone. Until they become standard across the industry, organizations need additional forensic, metadata, and validation signals.
Not all changes are malicious. Validation requires tuning and calibration to distinguish purposeful edits from suspicious manipulation.
