“Where we start is not on detection. It’s on the attack.”
Dr. Hany Farid, co-founder at GetReal Security and Professor of Computer Science at Dartmouth College, breaks down GetReal’s foundational approach to detecting AI-powered deception.
"An AI agent was given a cybersecurity task inside a controlled evaluation. Nobody instructed it to lie, to create multiple identities that don’t exist, or to target humans outside the test environment. It did all three of those things, and when it got caught by a real person, it adapted its tactics."
GetReal Security CEO Matt Moynahan wrote about the recent AISI report and what it means for the future of AI-powered identity deception.
getrealsecurity.com/resources/adap…
AI face-swapping is making impersonation attacks more realistic.
Tom Cross (@GetRealSecurity) and Karla Reffold discuss what organizations should know about this evolving threat.
Watch here: hubs.la/Q04rmZ0w0
According to our research, 88% of enterprises are already experiencing deepfakes or impersonation attempts — not just once, but occasionally or frequently.
That means the majority of enterprises are already fielding attacks at the most vulnerable layer in the modern era: the human layer.
Learn more and download the free Deepfake Readiness Benchmark Report here:
getrealsecurity.com/lp/deepfake-re…
“Cybersecurity has spent 30 years defending the back door — monitoring networks, securing systems. Now the threat is walking in on two legs through the front door, and talent acquisition is the function that controls that entry point.”
GetReal Security CEO Matthew Moynahan joined Lamees Abourahma on the Recruitment Process Outsourcing Association @RPOAssociation (RPOA) Time to Hire podcast to discuss one of the most pressing and underreported risks in enterprise security: applicant fraud powered by AI and deepfake technology.
Listen to the full episode here: buzzsprout.com/2206605/episod…#ApplicantFraud#IdentityVerification#TalentAcquisition#RPO#CyberSecurity
A CEO recently interviewed an AI clone and had no idea.
In a panel at this year’s @VivaTech, called “Is It Really You? Securing Digital Identity”, GetReal Security’s Emmanuelle Saliba @_esaliba posed the question: What happens to our perception when we’re surrounded by synthetic media?
Deepfake detection is quickly becoming a core layer of enterprise security. Congrats to @GetRealSecurity on being named a Market Shaper in the 2026 Gartner® Emerging Market Quadrant for Deepfake Detection — Startup Vendors.
More: lnkd.in/g5dFH4Mt#forgepointfamily
A face. A voice. A document.
For a long time, these were the signals we relied on to establish trust in digital interactions.
But today, every traditional signal can be convincingly mimicked by malicious actors using widely available GenAI tools. As a result, our ability to trust digital identities has fundamentally changed.
GetReal Security’s chief investigative officer, Emmanuelle Saliba @_esaliba, participated in a panel at this year’s @VivaTech about digital identity where she discussed this shift and how it affects trust in digital environments for every enterprise.
GetReal Security has been named as a Market Shaper in the 2026 Gartner® Emerging Market Quadrant for Deepfake Detection — Startup Vendors. Its placement was also farthest to the right on the Potential for Disruption axis.
We believe that being placed among the Market Shapers reflects GetReal’s platform approach: multimodal deepfake detection and continuous identity verification, backed by forensic-grade threat intelligence and automated policy response.
Human perception is getting less reliable as AI-generated media grows more realistic. That’s why we’re building technology informed by world-leading forensic expertise that can scale at the pace of AI.
Our co-foundern Dr. Hany Farid, recently spoke with @CNN about how today’s deepfake technology is surpassing the ability to distinguish what’s real from what’s fake using only our eyes
A new study from Utah Valley University found that just 16.4% of participants were able to identify AI generated videos as fake.
This is not a reflection of human perception getting worse, it’s a reminder of how quickly this technology is progressing and how good it is at mimicking reality.
That’s why GetReal Security builds technology backed by research from pioneers in digital forensics, built to scale at the pace of AI.
No, that's not the real @LewisHamilton or @Charles_Leclerc. And the woman standing in the middle isn’t real either — she never was.
AI influencers are on the rise, and every business and organization should take note.
What’s happening in social media is only one piece in a sprawling network of synthetic and imposter identities made possible by the rapid advancement of artificial intelligence platforms.
The response requires not only a deep understanding of the technology, but a holistic approach founded in science.
Preserving humanity in the GenAI era demands nothing less.
h/t @_esaliba for the report.
Behind Dr. Farid is a team of leading experts across disciplines, working together to build technology and approaches that are resilient to the rapid pace of technological change fueling digital deception.
We are driven by a unifying purpose: to protect people from the harm AI-deception creates at the scale it demands.
Read the full profile here: nytimes.com/2026/06/14/us/…
Image credit: Erin Schaff/New York Times
It’s not hyperbole to say that we are living through a historic technological shift. And when there are disruptive moments that shake the core of business and society, people like Dr. Farid step forward.
This is why GetReal exists.
Yesterday, Co-Founder and Chief Science Officer of GetReal Security Dr. Hany Farid was featured
on the front page of the @nytimes.
Humans can no longer tell what’s real or synthetic just by looking at the screen. It’s a fundamental disruption of trust in the most basic of human senses.
A cybersecurity researcher beat 261 real applicants to a tech job without ever showing his real face.
According to @thetimes, Jake Moore, a security adviser at ESET, used about $50 of widely available AI software to build two fake personas: a man resembling himself, and a woman with an entirely different face, voice, and fabricated online life. Both were offered jobs at real companies after passing video interviews.
His references were fake. The email addresses behind them didn't exist. The LinkedIn profiles were fabricated.
During one interview, a hiring manager remarked that "AI is everywhere now," while unknowingly talking to an AI-generated face.
This was an authorized experiment, run with permission, designed to expose a gap. But the same playbook is being run at scale, by actors with very different intentions.
Fraudulent candidates are already inside hiring pipelines, and most organizations have no way to verify the human on the other side of the screen.
Every remote interview is now an attack surface. The résumé can be generated. The references can be generated. The face and voice in the interview can be generated. All are convincing, and the technology to create a synthetic identity will continue to get better and cheaper.
GenAI threats are putting HR and talent acquisition on the front lines of cybersecurity.
Protecting hiring pipelines today means securing every pixel and soundwave. The question isn't whether a synthetic candidate has applied to your company, it's whether you'd know.
Full report from The Times here: thetimes.com/money/family-f…
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