Phishing Has Evolved β Fast
What started as basic email scams has transformed into AI-powered cyber deception. Today, cybercriminals are using deepfake technology to create realistic fake personas, voices, and videos to bypass security defenses.
According to Sumsub's 2024 Identity Fraud Report, the total volume of deepfake-driven cyberattacks grew by 1,000% globally and by over 1,740% in North America from 2022 to 2023.
Phishing 1.0: Mass Email Scams & Malware
Early phishing relied on spam emails, fake banking alerts, and malware links to trick users into clicking. These attacks were easy to spot but still caused billions in damage.
Phishing 2.0: Targeted Business Email Attacks (BEC, VEC, ATO)
Attackers got smarter β instead of mass emails, they started impersonating real people. Techniques like Business Email Compromise (BEC), Vendor Email Compromise (VEC), and Account Takeover (ATO) used hacked credentials and real email threads to fool employees into wiring money or sharing sensitive data.
Phishing 3.0: AI-Powered Deepfake Attacks
Now, cybercriminals are using AI to generate fake but highly convincing voices, videos, and images. Imagine getting a video call from your CEO asking you to approve a wire transfer β except itβs not really them. Deepfake phishing makes this possible.
Deepfake phishing is here. Is your organization ready?
What CISOs Are Saying About Deepfake Threats
Cybersecurity leaders are sounding the alarm on deepfake threats. As attackers increasingly leverage AI to craft convincing fake identities, CISOs are facing a new level of deception β one that traditional security measures struggle to detect.
Rising Deepfake Concerns: 72% of enterprises are concerned about deepfake risks in the future β up from 48% today.
Prioritizing Deepfake Security: 43% of enterprises say investing in deepfake protection will be a top priority in the next 12β18 months.
Preparation for Deepfakes
Despite ongoing initiatives, 60% of organizations donβt feel prepared to combat deepfake threats. Even with increased awareness, most organizations admit they lack the tools and strategies to confidently detect and prevent deepfake attacks. The challenge is not just knowing deepfakes exist β but ensuring security teams can identify and neutralize them in real time.
Deepfake Detection That Knows the Difference
Introducing Deepfake Protection
Our Deepfake Live Protection stops AI-driven impersonation threats in real time. It analyzes live video and audio, detects deepfake anomalies, and verifies biometrics and behavior, ensuring only trusted identities get through.
- Deepfake Artifact Detection: Scans live video and audio to catch AI-generated flaws β from pixel-level glitches to synthetic speech.
- Biometric Identity Verification: Confirms authenticity using facial recognition, voice signatures, and behavioral biometrics.
- Behavior Context Analysis: Learns normal tone, timing, and patterns, flagging subtle deviations that expose AI-driven fraud.