Attestiv DeepScan: AI-Powered Forensic File Validation for Secure Data

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Attestiv has launched DeepScan, a platform designed to automate the validation of submitted files to support critical business decisions.

“While detecting deepfakes is essential, it’s not enough on its own,” stated a company representative. “Organizations require assurance that submitted media is credible for specific use cases such as claims, transactions, or disputes. DeepScan enables structured validation workflows that improve decision speed, consistency, and confidence.”

Platform Integration and Validation Approach

The platform integrates artificial intelligence with enterprise operational realities, addressing the limitations of traditional detection methods. Instead of merely identifying fakes, DeepScan evaluates whether files are suitable for the decisions they support. This is achieved through a combination of an advanced generative AI analysis layer and a deterministic heuristic engine tailored to legitimate business processes. The result is improved accuracy and reduced false positives.

Key Features of DeepScan

Integrated Multi-Modal Analysis

A centralized interface for validating photos, multi-page documents, audio, and video files.

Configurable Rule Sets

Enterprise administrators can define custom thresholds, tolerances, and overrides based on industry-specific risks and workflow needs.

Contextual Validation

Cross-referencing file metadata and AI-driven analysis with internal customer data to verify logical consistency with submitted claims or applications.

Sophisticated Forensic Capabilities

Detection of AI-generated content, hidden metadata, and cryptographic evidence of file reuse or duplication.

Seamless Enterprise Integration

Compatibility with existing claims, compliance, and risk management systems via intuitive interfaces and APIs.

“A partnership with Attestiv has strengthened our ability to counter evolving fraud tactics,” noted a representative from NARS. “Their detailed reporting, rapid analyst support, and capacity to identify sophisticated forgeries have significantly improved our operational effectiveness.”

The platform leverages third-party AI detection tools, including Google’s content analysis capabilities, as part of its broader validation framework.