Klocwork
Enterprise-Scale Static Analysis for Security, Safety, and Quality Compliance.
Immutable video provenance through blockchain-anchored hash-on-capture technology.
Amber Authenticate is a sophisticated enterprise-grade security solution designed to ensure the integrity of video content from the moment of capture. Unlike post-hoc detection tools that analyze pixels for AI artifacts, Amber Authenticate utilizes a 'hash-on-capture' architecture. As video is recorded, the tool generates cryptographic hashes at regular intervals, which are then anchored to a public or private blockchain ledger. This creates an immutable audit trail that can prove a video has not been edited, manipulated, or synthesized by AI. In the 2026 market, Amber occupies a critical position in the 'Zero Trust Video' ecosystem, serving sectors where visual evidence is legally or operationally paramount, such as insurance, law enforcement, and high-stakes journalism. Its technical stack bridges the gap between hardware-level sensor data and distributed ledger technology, providing a forensic-level shield against sophisticated GAN-based deepfakes and temporal editing. By verifying the metadata and cryptographic signatures against the original ledger, organizations can maintain absolute certainty in their digital evidence pipelines, effectively neutralizing the 'liar's dividend' in an era of ubiquitous synthetic media.
Generates SHA-256 hashes of video frames directly at the sensor level to prevent any window for manipulation.
Enterprise-Scale Static Analysis for Security, Safety, and Quality Compliance.
The global tech bootcamp for future-proof career transformation in AI, Coding, and Design.
Graph-based threat modeling and attack surface visualization directly within the DevSecOps lifecycle.
The premier open-source benchmark and framework for resilient deepfake detection in uncontrolled environments.
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Writes cryptographic signatures to a distributed ledger, creating a permanent, time-stamped record of the original file.
Visualizes exactly where and when a video was modified by highlighting frame-level hash mismatches.
Links the camera operator's identity to the video hash using biometric authentication at the start of recording.
Buffers hashes locally in a secure enclave during connectivity gaps and syncs when back online.
Monitors EXIF and sidecar data for inconsistencies that suggest software-based injection.
Validates the hardware ID of the recording device to ensure the stream isn't coming from a virtualized environment.
Fraudulent claims using edited videos of property damage.
Registry Updated:2/7/2026
Defense attorneys questioning the integrity of bodycam or dashcam footage.
State actors claiming whistle-blower footage is a 'deepfake'.