Estimated reading time: 4 minutes
Rising Deepfake Incidents Test Business and Political Defenses
A finance worker wires millions after a video call with a fake CFO. The clone of a CEO’s voice issues an urgent payment order. A fabricated leader appears in a video, insulting allies. These recent deepfake incidents show a clear pattern. Attackers now blend social engineering, AI, and psychology. Their aim is simple: change what people believe is real.
That risk is not theoretical. “An early version of this was deployed within the Taiwanese government,” said Reality Defender Co-Founder and CEO Ben Colman. The system “caught a deepfake as it was being disseminated of the now-president of the country saying something defamatory about partner nations.”
That single example shows deepfake operations as classic psyops. When attackers alter perceptions of reality, they can destabilize relationships and markets. AI-driven cybercrime is here.
Reality Defender Debuts Real Suite for Enterprise Deepfake Defense
New York–based Reality Defender has launched Real Suite, an enterprise-ready toolkit for detecting deepfake content from “day one.” The company positions the suite as a defense against AI-generated fraud, impersonation, and disinformation across industries.
“At the center of the launch is RealScan,” the company announced. RealScan is a web-based deepfake detection platform. It uses a drag-and-drop interface for fast deployment with no technical training.
RealScan analyzes video, audio, images, and text. It returns results in seconds for journalists, enterprises, law enforcement, and forensics teams.
“This allows those looking to protect against deepfakes to do so with a day one deployment,” Colman said. “As all enterprises can and increasingly are being impacted by deepfake fraud and other related maladies, this allows them to combat such effects — be it through RealScan drag-and-drop deployment across team(s) or RealAPI implementation into company security workflows.”
RealScan, RealAPI, RealCall, and RealMeetings Aim to Meet Attackers in Real Time
Real Suite includes several tools that embed deepfake detection into everyday operations.
- RealScan: browser-based, drag-and-drop deepfake screening for assets and evidence.
- RealAPI and SDK: allow developers to plug detection models into existing security and business workflows.
- RealCall: monitors calls in real time for voice cloning and impersonation attempts.
- RealMeetings: plugs into Zoom and Microsoft Teams to monitor interviews and high-risk meetings for deepfake faces or voices.
Reality Defender uses a patented multi-model approach. Different models examine media from multiple angles. The company says this helps track the “bleeding edge” of generative platforms as they evolve.
The launch follows Reality Defender’s induction into JPMorgan Chase’s 2025 Hall of Innovation and prior recognition as an RSA Innovation Award winner. Those nods highlight growing enterprise concern around deepfake-driven fraud.
TWO-MINUTE WATCH – Deepfake Scams Are Here – AI Cybercrime Might Cost You Your Next Job!
Deepfake Risk Spreads as Generative AI Gets Cheaper
“As generative AI becomes increasingly more democratized and thus cheaper/inexpensive while remaining more convincing to the average person, more people will be impacted by higher profile and more damaging cases of fraud,” Colman warned.
He said Real Suite “helps teams that are impacted or at the nexus of those fraud attempts scale their efforts to disarm them from the jump.”
For cyber insurers, this trend reshapes underwriting and claims. Real-time deepfake detection can reduce losses from:
- CEO fraud and invoice scams
- Social engineering against finance and HR teams
- Disinformation targeting brands, executives, and partners
- Synthetic KYC and onboarding attacks
Underwriters will likely ask more often whether clients use tools like RealScan or RealAPI. Verified controls can support stronger risk selection and pricing. Incident response teams can also benefit from fast triage of suspicious media during active crises.
Reality Defender’s message is blunt: if a deepfake can reach your employees, it should meet a detector first.
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Plain-language Analogy for General Readers
Think of deepfake detection like a spam filter for your eyes and ears. Email spam filters once felt optional. Now nobody runs a serious inbox without them. Deepfake tools are racing in the same direction. As more people gain cheap, powerful AI, every organization needs something that quietly checks, “Is this really my boss, or is it just an extremely talented liar in silicon?”
Irish writer, Jonathan Swift (Gulliver’s Travels) wrote that “falsehood flies, and truth comes limping after it, so that when men come to be undeceived, it is too late; the jest is over, and the tale hath had its effect.” AI cybercrime deepfakes strap jet engines to falsehoods. Reality Defender and tools like Real Suite aim to intercept the fake story before it lands, preventing damage before anyone can check what’s real.
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