Layer automated deepfake detection into your verification workflow to rapidly assess visual media authenticity before investing hours in manual analysis. Our platform offers:
A leading digital banking platform serving over 5 million customers across North America, processing $2B+ in transactions monthly. The platform offers instant account opening, digital lending, and wealth management services.
As the platform scaled rapidly, it faced an increasing threat from sophisticated fraud attempts using AI-generated synthetic identities and deepfake technology to bypass traditional KYC verification systems.
⊗ Journalists spend hours manually analyzing potentially manipulated videos.
⊗ Inconclusive assessments using multiple fragmented detection tools.
⊗ Viral deepfakes spread faster than your team can verify and debunk them.
⊗ Probabilistic results from generic tools leave room for editorial doubt.
✓ Deepfake detected — automated assessment in seconds, not hours.
✓ Clear confidence scores enable rapid editorial decision-making.
✓ Your team focuses on context and narrative while Authenta handles technical analysis.
✓ Definitive "synthetic media" labels published with journalistic confidence.
● >92% accuracy for face-swap detection with <10% false negative rate
● 94% accuracy for AI-generated image detection with <5% false negative rate
● Multi-modal analysis examines facial geometry, lighting patterns, compression artifacts, and metadata
● Plug-and-play APIs and SDKs designed for mobile, web, and enterprise platforms
● RESTful API architecture enables integration in hours, not months
● Batch processing mode for analyzing large archives of historical content
● Scalable infrastructure handles high-volume verification workloads during breaking news events
● Comprehensive audit trails and exportable reports for editorial accountability
● Flexible deployment options: cloud-based, on-premises, or hybrid
You focus on credible journalism; we focus on staying ahead of the AI arms race.
Identifies sophisticated face-swap manipulation in political speeches, celebrity statements, and news footage. Authenta's neural network models analyze micro-inconsistencies in facial geometry, lighting patterns, and texture artifacts that indicate manipulation—providing the technical foundation for your fact-checking verdicts.
Detects entirely synthetic images created by generative AI models and used to fabricate news events, create false evidence, or manufacture disinformation campaign. Our system examines image structure, embedded metadata, compression signatures, and visual consistency to identify machine-generated content.
Generate a risk score with clear confidence intervals for each verification. This enables your editorial team to prioritize high-confidence detections for immediate publication while routing ambiguous cases to deeper manual analysis.
Deepfake generation techniques evolve rapidly, with new models released monthly. Authenta's detection capabilities are continuously updated to counter emerging manipulation methods.
Plug Authenta into your liveness flow and block synthetic identities in real time.
Book a Demo NowEverything you need to know about Authenta's deepfake detection platform.
Many detection tools fail on compressed or blurry media. Authenta’s spectral + anomaly detection framework is optimized for real-world conditions such as low-bandwidth video calls, JPEG-compressed images, and social media uploads, maintaining 90%+ accuracy where others degrade
Yes. Every detection is paired with forensic explainability overlays (heatmaps, saliency maps, spectral signatures) and metadata logs. This allows regulators, auditors, and enterprises to not only detect manipulations but also understand where, why, and how the media was flagged.
We run an internal synthetic media generation pipeline — producing faceswaps, AI-generated images, lip-syncs, and audio clones using the latest generative models. This continuous data generation ensures our models adapt faster than attackers, keeping customers protected against next-gen deepfakes.
Cloud for fast integration.On-premise for regulated sectors requiring data sovereignty.Edge for real-time, low-latency detection (e.g., proctoring, live onboarding).
We offer REST APIs and SDKs that can plug directly into onboarding flows, content moderation systems, or exam proctoring platforms. Our modular design means you can integrate specific capabilities (e.g., faceswap detection) without overhauling your existing stack.
Yes. Authenta has been deployed in pilot projects with enterprises like IdNow and DW, where it demonstrated resilience against both faceswap fraud and AI-generated content under real-world conditions. Feedback from these pilots has been integrated into our production models.
We follow enterprise-grade security standards: data is processed in-memory without being stored unless explicitly requested. On-prem and edge deployments ensure sensitive media never leaves your infrastructure.
We are purpose-built for high-risk sectors where trust and authenticity are critical: Finance / eKYC → prevent fraudulent onboarding.Content platforms → stop viral misinformation.Dating & Matrimony → protect users from scams.EdTech / Proctoring → ensure exam integrity.
Forensic-grade deepfake detection powered by adaptive AI.Protecting businesses and communities from manipulated media in real-time.
