Active threat monitoring

Truth has a frequency.
We detect it.

Neuro Craft deploys advanced neural architectures to identify deepfakes, synthetic media, and coordinated false narratives in real time — before they spread.

SIG:VERIFIED ✓
ANOMALY:0xF2
HASH:a7c3..9f1b
DEEPFAKE:93.2%
ORIGIN:TRACED
47ms
Avg Detection Latency
99.7%
Deepfake Accuracy
2.1M+
Threats Flagged Daily
140+
Languages Supported

Six layers of defense
against synthetic deception

Our multi-modal detection engine analyzes content across visual, auditory, linguistic, and behavioral dimensions simultaneously.

01

Face Forgery Detection

Identifies GAN-generated faces, face swaps, and reenactment artifacts using spectral analysis and micro-expression tracking.

02

Voice Clone Detection

Detects synthetic speech, cloned voices, and audio splicing through prosodic analysis and neural voiceprint matching.

03

Narrative Graph Analysis

Maps coordinated inauthentic behavior and narrative propagation networks using temporal graph neural networks.

04

Provenance Tracking

Traces media origin through cryptographic watermark analysis, EXIF forensics, and blockchain-verified content chains.

05

Real-Time Stream Analysis

Monitors live broadcasts, social feeds, and messaging platforms with sub-100ms detection latency at scale.

06

Threat Intelligence

Aggregates global disinformation patterns into actionable intelligence reports with attribution confidence scoring.

From ingestion to verdict
in milliseconds

01

Ingest & Decompose

Content is ingested via API, browser extension, or platform integration. Multi-modal decomposition separates visual, audio, and textual signals for parallel analysis.

02

Neural Analysis Pipeline

Specialized detection models run simultaneously — facial forensics, voice authentication, semantic consistency, and provenance verification through our ensemble architecture.

03

Cross-Signal Correlation

Results are fused across modalities. A video with authentic faces but synthetic audio triggers cross-modal flags. Narrative patterns are checked against our threat knowledge graph.

04

Verdict & Response

A confidence-scored verdict is delivered with full explainability — highlighting exactly which signals triggered detection and providing forensic evidence chains.

neurocraft — analysis session
$ neurocraft analyze --source media_clip.mp4   → Ingesting media... 3 streams detected → Running facial forensics pipeline... ✓ Face mesh integrity: PASS → Running voice authentication... ✗ Voice clone detected (conf: 97.3%) → Semantic consistency check... ⚠ Temporal anomaly in lip-sync → Cross-modal fusion...   VERDICT: SYNTHETIC MEDIA (0.94) Primary: voice cloning (TTS-GAN v2) Secondary: lip-sync mismatch Report: /out/forensic_a7c3.pdf   $

Recent detections

2026-02-08 • 14:32 UTC
Deepfake

Synthetic video of public official detected across 12 platforms

GAN-generated face swap on legitimate broadcast footage. Propagation traced to coordinated network of 340+ accounts.

Detection confidence: 98.7%
2026-02-08 • 13:17 UTC
False Narrative

Coordinated inauthentic narrative seeded in financial markets

Fabricated earnings report circulated through synthetic news sites and amplified via bot networks to manipulate stock price.

Detection confidence: 94.2%
2026-02-08 • 12:05 UTC
Verified Authentic

Disputed emergency broadcast confirmed as genuine

Media authenticated via provenance chain and cross-referenced with 4 independent sources. Cryptographic watermark intact.

Authenticity confidence: 99.1%

Defend truth
at machine speed

Join our early access program and deploy Neuro Craft's detection engine in your organization.