Amped Software is proud to announce the release of the latest Amped Authenticate Update. This substantial upgrade is designed to give you enhanced tools to validate image and video authenticity with even greater accuracy and efficiency.
If you work with digital evidence, this release directly supports your mission. Here’s what’s new and why it matters.
Enhanced Compression Analysis: Coding Tree Units Filter
How can visualizing video encoding patterns help uncover manipulation?
With this update, Authenticate introduces the Coding Tree Units (CTU) filter, previously available in Amped FIVE, now refined specifically for image authentication case work. This filter allows you to visualize both Coding Unit and Prediction Unit partitioning. It provides a deeper understanding of how a video has been encoded.
In addition, the filter includes powerful plotting features, enabling temporal analysis of encoding structures. This is critical when verifying the authenticity of videos that may have been re-encoded or manipulated. Detecting encoding inconsistencies can reveal hidden alterations, and this filter provides the precision needed to spot them.
Deep File Analysis: RIFF Viewer Tab in Advanced File Info
Working with AVI files? You’re going to love this. The new RIFF Viewer tab, under the Advanced File Info tool, lets you examine the internal structure of RIFF (Resource Interchange File Format) containers directly. This is particularly valuable when examining AVI files, a common format for surveillance and security video.
The RIFF Viewer gives you a dual-pane view:
- Hex data on the left
- Structured file components on the right.
Selecting any chunk instantly directs you to its file offset. This makes it easier to analyze, compare, and verify container structures, identifying tampering or inconsistencies quickly, even across multiple open instances. You can even open multiple files side-by-side for comparative analysis—an essential step when validating suspect media.
Strengthened Deepfake Detection: Flux Added to Diffusion Model Filter
The evolving landscape of AI-generated content demands advanced detection tools. This update strengthens the Diffusion Model Deepfake filter by introducing support for the Flux deepfake generation model, one of the latest and most realistic tools available today.
Flux can be run offline with modest hardware, making it an attractive choice for criminals seeking to bypass online safeguards. With the integration of Flux detection, you’ll be able to identify synthetic content using pixel-level CLIP feature analysis and machine learning classification. A robust approach, especially when metadata or container-level evidence is missing or unreliable.
Improved Redaction Tools: Inverted and Edge Feathering Modes in Annotate’s Hide
Accurate redaction is essential when working with sensitive content. This release introduces two new options within the Hide tool of the Annotate feature:
- Inverted mode allows you to redact the entire image except for a selected area—ideal when isolating key subjects while protecting identities or sensitive context.
- Edge Feathering smooths the borders of redacted areas, providing a cleaner, more professional visual output—perfect for courtroom presentations or internal reporting.
Ready to Update?
If your software maintenance plan is active, simply go to Help > Check for Updates Online within Amped Authenticate. For license renewals or support, please visit our Support Portal or contact your authorized distributor.
Read the blog post with all the improvements. Update now and take full advantage of these powerful new capabilities.
