Cybersecurity isn’t just about firewalls, passwords, or virus scan anymore. In 2025, the battlefield includes your voice, your face, your identity.
Thanks to generative AI, it’s now easier than ever for attackers to impersonate individuals, forge documents, or create entirely fake media that looks—and sounds—real. These aren’t just edge cases anymore. Deepfakes have become tools for real-world cybercrime.
Deepfakes: Next-Gen Cyber Threat, Here Now
Cybercriminals no longer need to crack code—they just need to trick a human with a believable video, image, or audio clip.
Common attack scenarios:
Deepfake phishing: Synthetic CEO videos and/or voices instructing employees to wire funds
Fake Zoom meetings: Video-based impersonations of executives or vendors
AI-generated credentials: Fake job applicants, insurance claims, or ID documents
Reputation sabotage: Deepfake videos of executives used for extortion or misinformation
A 2024 Gartner report predicted that by 2026, 30% of large enterprises will experience a security breach via synthetic media. The time has come to take action.
If your cybersecurity stack doesn’t address the deepfake threat—it’s incomplete.
Why Traditional Cyber Tools Can’t Keep Up
Firewalls and endpoint protection don’t flag deepfakes.
Email security filters don’t detect AI-manipulated videos or voice calls.
Even human reviewers may be fooled by hyper-realistic fakes.
Deepfake detection requires specialized AI trained to spot synthetic fingerprints, often invisible to the naked eye—something most cybersecurity stacks lack entirely.
Cybersecurity-Ready Deepfake Detection
Deepfake detection fills the critical gap in your cyber defense strategy.
Enterprise-grade tools to verify the authenticity of media and communications, enable organizations to:
Detect manipulated images, videos, audio, and documents
Flag spoofed identities and synthetic impersonations
Integrate protection into messaging, onboarding, claims, and compliance workflows
Prevent reputational harm, financial fraud, and misinformation campaigns
Whether you’re protecting an executive or your company, evaluating user-submitted evidence, or reviewing internal communications, everyone need cybersecurity solutions that help you trust what you see—and what you hear.
What Sets Attestiv’s Deepfake Cybersecurity Solution Apart
Multi-modal AI detection: Works across audio, video, image, and text
Real-time analysis: Validate media as it’s submitted or received
Explainable results: Clear, forensic-style breakdowns for decision-makers
API & workflow integration: Seamlessly fits into existing security architecture
If deepfakes are part of the attack surface, then deepfake detection needs to be part of the security stack.
Ready to Secure Your Business Against AI-Generated Threats?
Don’t wait until your organization becomes a headline. Learn how Attestiv can help you defend against deepfake-driven cyberattacks.