For two decades, organizations have constantly extended their security controls from their networks to software to devices and then to end users, and each time they worked -- but not for very long, it seems.

In what seems to be almost a tradition at this point, attackers — like water searching for a crack in a foundation — appear to be able to find the soft underbelly of enterprise security architectures to attack and exploit.

This time they’ve found a layer where not only are there no security controls, but it is hard to even imagine we need them. That is the content layer: the layer where bits and bytes, pixels and sound waves represent human presence in our digital world. Yes, in this world of AI, the very sight and sound of human presence can no longer be trusted. And it is not just human to human interactions and workflows that need to be protected, but soon interactions between humans and AI agents.

Enterprises and government organizations now operate in a world where every virtual meeting, every remote hiring decision, every financial authorization, and every access request carries identity risk. The human layer — the live interaction — has become the greatest area of security exposure in the enterprise.

In the age of GenAI, anyone with a $20 subscription and a smart device can generate a convincing facsimile of a known executive, a verified vendor, or a credentialed job candidate.

When those tools are abused, the consequences fall squarely on the organizations whose employees trusted what they saw.

The Scale of the Problem

The data makes the exposure clear. According to an analysis performed by SurfShark, deepfakes drove over $1.6 billion in global financial losses in 2025 alone — from the period spanning 2019 to 2023, that figure was a relatively meager $130 million. Also take a recent report from LexisNexis, which found that synthetic identity fraud is now the fastest-growing type of fraud worldwide, soaring 8x in 2025.

The attack surface is not theoretical, and it is not limited to headline-grabbing incidents. According to Gartner, 62% of organizations experienced a deepfake attack within the last year. Not every one of those attacks made headlines, but it affected a team, a company, creating a blast radius with an impact that had real consequences, even if not publicly captured.

The enterprise workflow most visibly under attack is hiring. According to GetReal's research, 41% of enterprises report they have already unknowingly hired and onboarded fraudulent candidates. Gartner predicts that by 2028, one in four candidate profiles worldwide will be fake. Organizations like Arup and MGM have fallen victim to sophisticated social engineering attacks where impersonators — including North Korean state-sponsored actors — successfully infiltrated systems by exploiting trust at the human layer. Just over a week ago, Zapier’s CEO posted about a job opening where 80% of the applicants were fraudulent. Just to be clear, these “fake candidates” are not candidates; they are nation states and criminal organizations trying to maliciously infiltrate your enterprise.

And we’re not going back. COVID changed how we work and interact overnight, shifting to a remote-first environment that opened the seams. Even for those in the office, virtual meetings are a daily occurrence. These attacks are only going to continue to accelerate.

Because trust has become the new perimeter.

At GetReal, we’re driven by protecting enterprises, governments, and organizations from AI-powered deception, and today we’re taking a major step forward in building the safety infrastructure that our remote-first, digital world deserves.

Introducing Continuous Identity Verification for Every Digital Interaction

I’m proud to share the general availability of continuous real-time identity verification within our flagship product, GetReal Protect.

GetReal’s Trust and Authenticity Platform is now the first platform to offer a holistic, real-time solution for enterprises that combines deepfake detection, impersonation detection, and continuous identity verification across voice and video — ensuring the person on the call is who they say they are, each and every time.

GetReal Protect addresses identity threats through four integrated capabilities:

Deepfake detection: Is the person on the call authentic or synthetic, and is there manipulation?
Impersonation detection: Does the person presented match the claimed identity?
Continuous identity verification: Does that match persist — not just at entry, but at every moment of digital interaction and for as long as needed?
Global threat intelligence: Are any identities known threat actors or users with excessive risk?

We’re bringing back safety and restoring trust in virtual communications for every enterprise and organization that relies on digital interactions to make decisions.

Identity checks typically consist of point-in-time verification — you enter a password or put your finger to the keyboard, and the gate opens for you. In today's threat environment, that’s not enough. When anyone from cybercriminals to state-sponsored North Korean fraudsters can replicate a face or voice in minutes, as we showed when we recently collaborated with 404 Media to investigate a piece of deepfake software, a single check simply opens the door for an attack on the human layer.

As I wrote recently, “We do not check a credential once. We continuously verify the face and the voice throughout the interaction. If the person on screen changes, if the audio is synthetic, if the face is a replay or a morph, we detect it in seconds and surface it to the security team with forensic-grade evidence of why.”

What’s been missing is an added layer of trust at the human layer. Trust that you aren’t being manipulated, and trust that the person on the other side of the screen not only knows you’re real, but you are who you say you are.

A Solution That’s Frictionless and Built for Real-World Scenarios

GetReal Protect integrates continuous identity verification seamlessly with collaboration solutions like Microsoft Teams, Cisco Webex, and Zoom as well as VOIP and other voice-based systems. Attackers have gone multimodal — the response must meet that same challenge across every channel enterprises and organizations rely on.

Users consent and provide an identifying attribute, such as a work email address. Once enrollment is complete, identity verification is automatic, frictionless, and ongoing, with nothing else for IT teams, hosts, or participants to do.

The platform drops zero frames for the end user, requires no specialized hardware or iris scanners, and causes no performance hit to the end-user’s experience.

Meeting hosts can easily monitor for synthetic media, impersonations, and continuous identity verification with an intuitive user interface. If a user’s already enrolled and is signed in, verification is automatic, otherwise consent can be requested.

If the face on the screen no longer matches the enrolled identity, if the audio shifts to synthetic speech, or if a face-swap or morphing manipulation is detected, the platform surfaces it to the security team immediately.

If an incident occurs, the team of global experts at GetReal uses digital forensics to trace the origin of and provide further intelligence and guidance, with access to meaningful contextual data that goes well beyond simple alerts.

We don’t replace existing stacks, but complement them — including identity and access management (IAM) frameworks, with over 40 native integrations including Okta, Microsoft Entra, and CyberArk.

The operational impact is concrete:

HR and talent acquisition teams can trust the end-to-end hiring process. The person who interviews is the person who onboards.
Finance teams no longer have to rely on voice recognition alone to authorize large transfers or unusual requests.
IT and security teams can move beyond static verification questions and respond to identity threats in real time, at the moment they occur.
CISOs gain a new layer of defense at the human layer — the one surface traditional IAM was never designed to protect.

GetReal does the heavy lifting so business can keep running, organizations can keep functioning, and security teams can operate with confidence.

Putting Privacy, Consent, and Trust First

GetReal Protect is built on a foundation of user trust and consent, and it’s embedded in everything we do.

With our continuous identity verification, nothing is captured until participants consent. Data is owned by the individual and never shared — GetReal simply acts as the custodian on behalf of its enterprise customers.

Users always have the right to revoke consent and request data removal. And they can take verification with them — if you start a job at a new company and you’re already enrolled, you’ll automatically be verified when and where you need to be.

Our commitment to privacy is backed by SOC 2 Type II certification and compliance with GDPR, CCPA/CPRA, and BIPA.

Purpose-Built for the GenAI Era

GetReal was founded and continues to operate on the belief that giving up is not an option. As threats evolve, so does our approach. GenAI technology is not inherently good or bad — protecting innovation is as important as defending against misuse. That’s what drives the team at GetReal.

The vast majority of enterprises now depend on digital interactions to make their most consequential decisions. They deserve the same security infrastructure at the human layer that they have spent two decades building around their networks, devices, and software.

Continuous identity verification is the next move in building the safety infrastructure our digital world, and those who inhabit it every day, deserve.

See what "no compromise" looks like on a live call.

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