authentify
AI-driven deepfake detection and media authentication.
An advanced deepfake detection engine designed to protect digital identities and ensure content authenticity.
Using forensic-grade Al, it detects manipulated videos, images, and audio with unparalleled accuracy, empowering law enforcement agencies, governments and enterprises to prevent identity fraud, secure face authentication, and combat misinformation.
The rapid rise of deepfakes — truth under attack.
Deepfake cases reported between 2021 and 2024.
Is all it takes for deepfake content to double.
Estimated loss India faces in 2025 from deepfake-driven fraud.
Rise in deepfake KYC bypass since 2023.
Goes undetected as deepfakes by viewers.
Why is deepfake detection critical?
As deepfakes become more accessible, their misuse threatens trust enabling impersonation, spreading false information, and manipulating digital interactions. From national security to enterprises, proactive detection is essential to safeguarding integrity in the digital world.
Strengthen cybercrime response
Slow or weak responses let cybercriminals exploit loopholes and cause large-scale damage.
Prevent identity frauds
Stolen identities can lead to financial loss, reputational harm, and long-term damage.
Authenticating evidence
Tampered and manipulated evidence weakens justice and allows criminals to escape accountability.
Preserve public trust
Once broken by scams or disinformation, trust is nearly impossible to restore.
Prevent digital exploitation (CSAM/CSEM)
Online child exploitation causes irreversible trauma and fuels a global criminal network.
Safeguard digital and civic security
Deepfake threats to critical digital infrastructure can disrupt governance, economy, and citizen safety at scale.
Features of pi-authentify
Our solution is built on cutting-edge features designed to both protect and empower teams. By harnessing forensic-grade AI to enable organizations to detect and counter threats, ensuring they consistently stay one step ahead.
Multi-modal deepfake detection
Detects manipulation in audio, video, and images using advanced, patented AI algorithms.
Explainable AI insights
Provides transparency and rationale behind every detection, ensuring trust.
API and SDK integration
Seamlessly integrates into existing platforms and digital ecosystems.
Segment-level file analysis
Pinpoints and highlights tampered segments, enabling deeper forensic validation and strengthening the credibility of digital evidence.
Real-time detection
In-call live detection optimized for instant analysis of video calls, streams, and uploads.
Court-ready forensics reports
Generate in-depth, court-admissible forensic documentation post-analysis.
pi-authentify gives investigators a deeper lens into video truth. From frame-level scores to clear visual breakdowns, it transforms complex forensic analysis into insights you can trust in the courtroom, the field, or the boardroom.
Confidence in every moment
Frame-by-frame authenticity scores mapped across the video timeline — helping investigators instantly spot where trust holds and where manipulation creeps in.
Expose edits with precision
Spectrogram-based visual analysis reveals the exact sections of a video that were altered, trimmed, or manipulated — no guesswork, just clarity.
The truth in percentages
Chunk-level breakdowns displayed in clear, forensic-grade charts — showing what’s authentic, what’s tampered, and what’s fully manipulated at a glance.
“Authenticity Engineered, Frame by Frame”
pi-authentify engine fuses a pre-processor and AI++ inference engine for video, audio, and image analysis. Generates explainable forensic reports with on-premise or cloud deployment.
Why use pi-authentify?
Delivers real-time speed, forensic accuracy, and multilingual detection across video, audio, and text. Scalable AI evolves with new deepfake techniques, integrating seamlessly to keep organizations ahead of threats.
Al-trained on extensive datasets
Proprietary models developed with millions of data points for industry-leading detection accuracy.
Multi-format compatibility
Advanced detection capabilities across video, audio, image, and text content in multiple languages.
Low latency processing
Real-time analysis capabilities for time-sensitive verification requirements.
Seamless integration
Flexible architecture that integrates efficiently into existing security and workflow systems.
Continuous model evolution
Regular updates to detection algorithms to counter emerging deepfake technologies and techniques.
Forensic-grade reporting
Transparent evidence documentation with explainable Al.
The value it delivers
Scalable video analysis: A single GPU cluster processes 10,000 videos daily, matching national-scale investigation needs.
Real-time detection: Flags manipulated video and voice in live calls and streams before damage spreads.
High accuracy: Ensures forensic confidence with minimal false positives or missed threats.
Hasten investigations: Automated analysis collapses weeks of manual video review into just days.
Who uses pi-authentify?
A trusted platform for detecting and countering digital deepfakes, built for real-world investigative use-cases:
Built for Forensics Labs
- Combat political disinformation
- Curb non-consensual explicit content
- Flag evidence tampering
- Detect celebrity and brand impersonation
Built for Defence and Intelligence Agencies
- Countering disinformation and PsyOps
- Protection against deepfake-driven cyber threats
- Disinformation monitoring
Built for BFSI and Other Enterprises
- Regulatory compliance and risk management
- Verifying customer identity (KYC)
- Securing internal communications
- Preventing financial fraud
Frequently asked questions
What is pi-authentify and how does it detect deepfakes?
pi-authentify is a deepfake detection solution developed by pi-labs to identify Al-generated and Al-manipulated video, audio, and image content. Using Al+ + enabled forensic technology, it separates synthetic content from real media with high precision, helping businesses and governments verify reality and protect digital trust.
Why is deepfake detection important for enterprises and governments?
Deepfakes are being used in recruitment scams, financial fraud, misinformation campaigns, and even national security threats. Detecting and preventing deepfakes helps protect organizations from reputational harm, identity theft, and data breaches while ensuring the authenticity of digital communications.
How does pi-authentify integrate with existing enterprise systems?
pi-authentify offers flexible API integrations and multiple deployment options-including cloud and on-premise-to seamlessly fit into existing security frameworks, workflows, or identity verification systems. This makes it easy to scale and customize for organizations of all sizes.
What types of content can pi-authentify analyze for deepfakes?
pi-authentify supports detection of synthetic videos, deepfake audios, voice clones, and Al-manipulated images. It can identify subtle manipulations across multiple formats and languages, providing comprehensive protection for digital assets.
Is pi-authentify suitable for real-time deepfake detection?
Yes. pi-authentify’s low-latency processing capabilities allow it to analyze content in real time-making it ideal for applications like live video interviews, video-KYC, or fraud prevention in fast-paced digital environments.
Which industries benefit the most from pi-authentify's deepfake detection?
Industries such as law enforcement, national security, banking and finance, media & entertainment, and customer support/BPOs benefit significantly from deepfake detection. pi-authentify helps safeguard these sectors from fraud, misinformation, and compliance risks.
How accurate is pi-authentify's detection engine?
pi-authentify is trained on millions of datasets to ensure forensic-grade accuracy. Its Al inference engine continuously evolves to counter emerging deepfake threats, delivering explainable insights and tamper-proof evidence with every scan.