AI Is the New Weapon in Global Cyber Conflict

Advanced AI and synthetic media are escalating misinformation and disinformation into a systemic global threat. Geopolitical rivalries are accelerating this danger, as state and non-state actors increasingly weaponize AI to destabilize democracies, manipulate elections, and erode public trust across borders. As these risks remain severe in both the short and long term, detection is becoming essential to protect societies from disruption, deception, and harm.

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of organizations in Asia Pacific see AI as their top data security risk. (Thales, 2026)

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of enterprises will experience security or compliance incidents linked to unauthorized shadow AI by 2030. (Gartner, 2025)

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year-on-year surge in deepfake-related scam incidents in Singapore. (Sumsub, 2025-2026)

Multi-Layered Detection, Grounded in Forensic Science

Cyberette’s technology stack delivers a multi-layered approach to fraud detection that gives analysts more than a simple detection result, providing documented indicators, metadata traces, and reproducible analysis records that support expert review, investigative workflows, and high-stakes decision-making.

AI-native analysis

Uses deep learning models trained on research-grade, diverse datasets to detect subtle manipulation, micro-expression, and inconsistencies across audio, video and image.

Provenance checks

Verifies source authenticity through metadata and C2PA compliance to confirm content origin and integrity.

Forensic intelligence

Examines technical inconsistencies, behavioral cues and forensic indicators to generate explainable findings that support expert review and audit readiness.

Six Detection Methods, Zero Missed Threats

Cyberette’s multi-purpose fraud detection uses 6 different detection methods to ensure no AI or deception threat goes undetected.

  1. Landmark mapping

    Detects inconsistencies in facial features, expressions, or unnatural face-to-background alignment.

  2. Cross-modality

    Aligns and compares audio and video streams to expose manipulation.

  3. Behavioral analysis

    Tracks subtle human signals to assess liveness and deceptive behavior.

  4. Artifact-based

    Examines files at the pixel and signal level to reveal synthetic traces.

  5. Provenance

    Verifies file authenticity and origin using metadata and provenance standards (C2PA) to expose irregularities or tampering.

  6. Pattern-based

    Monitors user and communication behavior to identify unusual patterns that may indicate manipulation or fraudulent activity.

Secure Deployment for High-Stakes Workflows

API

Integrate Cyberette into existing investigation or monitoring workflows to automate analysis of image, audio, and video at scale. Using your API key with easy-to-use SDK, teams can screen media for signs of manipulation and receive structured findings without disrupting operations.

On-Premise

Deploy Cyberette within your own infrastructure to keep sensitive media and findings under your control. Built for high-security environments, it supports privacy and compliance while enabling operation in offline environments.

Secure cloud

Access Cyberette through an encrypted, enterprise-grade cloud environment for fast, scalable analysis. Teams can review high-risk behavior or deception without managing their own infrastructure, while maintaining enterprise-level security standards.

Secure Container

Run Cyberette in isolated, containerized environments with flexible configuration for secure deployment across systems. This gives teams a portable way to operationalize AI threats detection in controlled environments.

Cyberette provides detailed detection across images, videos, and audio ensuring no deception goes unnoticed.

How Does It Work?

Image

Analyse images with forensic precision to uncover manipulated or AI-generated content.

Liveness

Detects faces and assesses whether they appear genuine or spoofed.

Facial Analysis

Identifies anomalies that may indicate manipulation or face swaps.

Traces of AI

Detects fully synthetic or partially edited images and shows what was changed.

Background

Flags possible background replacement.

Enhancements

Checks for signs of image enhancements.