A finance employee at multinational engineering firm Arup sat down for what looked like a routine video call. The faces on screen were familiar, colleagues and a CFO. The instructions were clear: authorize a wire transfer. So they did. All $25 million of it.
Every person on that call was a deepfake.
What happened to Arup is no longer a cautionary tale from some distant, hypothetical future. It is a preview of what is showing up in enterprise environments right now. Deepfake technology has crossed a threshold, moving from expensive, nation-state-level capability to an accessible, commoditized tool available to virtually any threat actor willing to pay for it. In 2025, deepfake-as-a-service platforms went mainstream, putting voice cloning, video impersonation, and AI-generated personas within reach of cybercriminals at every skill level.
The result was a 1,300% rise in deepfake fraud attempts in a single year and a new category of attack that most security teams were never built to catch. Your SOC is facing a security operations problem, and if your team is not thinking about it yet, the attackers already are.
The Numbers Are Hard to Ignore
Deepfake attacks are no longer rare enough to dismiss as an edge case. According to a Gartner survey of 302 cybersecurity leaders, 62% of organizations experienced a deepfake attack in the prior 12 months, with 41% encountering one on an audio call and 35% on a video call. That means more than half of the security leaders reading this have already faced the threat firsthand.
The volume is accelerating and the barrier to entry keeps dropping. Deepfake-as-a-service platforms are now widely available, meaning attackers no longer need technical expertise or significant resources to clone an executive’s voice or generate a convincing video likeness. They just need a subscription.
Gartner also projects that by 2026, 30% of enterprises will consider identity verification and authentication solutions unreliable in isolation because of deepfake attacks on face biometrics. The tools organizations have historically trusted to confirm who someone is are losing their footing. For mid-market organizations especially, this is where the risk increases. Large enterprises have dedicated identity security teams and resources to layer defenses. Smaller security teams are being asked to counter a threat that is evolving faster than the playbooks written to address it.
It Goes Way Beyond Wire Fraud
When most people hear “deepfake attack,” they picture a scenario like Arup, an executive impersonation or a one-time financial hit. That framing undersells the threat significantly.
Deepfakes are increasingly being deployed across the full attack chain, not just at the moment of financial fraud. Attackers are using synthetic voice and video to manipulate employees into resetting credentials and bypassing multi-factor authentication. A convincing audio clip of a trusted manager is often all it takes to get a help desk technician to hand over account access without a second thought.
The hiring process has become another entry point. North Korean operatives have been documented using AI-generated identities to secure employment at Western technology companies, with a median dwell time of 122 days once inside. These are long-game infiltrations where a fabricated person shows up to interviews and quietly operates inside your environment for months before anyone notices something is wrong.
Social engineering during an active incident is another emerging vector. Attackers have begun using synthetic audio to impersonate IT staff or security personnel during a live response, redirecting remediation efforts or extracting information about defensive measures while a breach is already underway.
Most organizations have no protocols to verify video calls or audio messages, no detection tooling deployed for synthetic media, and no incident response playbooks that account for the possibility that the voice on the other end of a call is not who it claims to be. The attack surface here is anywhere trust in human communication is assumed, and in most organizations, that is nearly everywhere.
Closing the Gap: What Your Security Operations Need
The challenge with deepfake attacks is that they are designed to exploit the trust layer that sits above your technology stack. A deepfake does not trigger an endpoint alert. It does not generate a suspicious network connection. It walks through the front door wearing a familiar face, and by the time the fraudulent wire transfer or unauthorized access request surfaces in your telemetry, the damage is already done.
Addressing this threat requires more than a single detection tool. Gartner explicitly warns that deepfake detection is probabilistic, vendor benchmarks are not standardized, and creation tools are evolving faster than the point products designed to catch them. What organizations need is a security operations posture built around behavioral context, identity correlation, and human judgment working alongside AI rather than a standalone media inspection tool bolted onto an already fragmented stack.
That is exactly the approach AgileBlue takes. Sapphire AI, the brain behind AgileBlue’s platform, continuously analyzes behavioral signals across your environment, correlating activity across endpoints, identities, cloud infrastructure, and your Microsoft 365 environment to surface anomalies that individual point tools would miss entirely. When a credential reset request follows an unusual communication pattern, or when access behavior deviates from what a known user typically does, Sapphire flags it regardless of whether the trigger was a malicious file or a convincing phone call.
The AI-powered SIEM ties those signals together across your full environment, giving your security team a unified view of what is happening rather than forcing analysts to chase alerts across disconnected dashboards. That cross-environment visibility is critical when the initial attack vector is social engineering, because the technical footprint of the attack often does not appear until several steps after the trust has already been exploited.
Where AI reaches its limits, AgileBlue’s 24/7 expert SOC analysts step in. Deepfake-enabled attacks are precisely the kind of threat where human judgment inside the loop matters. An experienced analyst reviewing behavioral context, communication patterns, and correlated identity signals can make the call that a detection engine operating alone may not.
Threat Exposure Management adds another proactive layer. Knowing where your environment is exposed before an attacker finds it matters. Whether that is an unmonitored communication channel, a misconfigured identity service, or a gap in your verification protocols is what separates organizations that get ahead of this threat from those that respond to it after the fact.
At current growth rates, deepfake attempts are a matter of when, not if. Whether your security operations catch it before the transfer clears or the insider settles in for a 122-day stay depends on what you have in place today.
Talk to an AgileBlue expert to see how our platform closes the gap.
