Most detection tools answer one question: is this clip synthetic? Attackers are not sending clips. They are joining calls, sitting in interviews, and asking for a wire. This is where we publish what we find: how the attacks actually run, which signals catch them, and where the tools fall short.
Monthly analysis of AI social engineering, voice fraud and deepfake attacks on enterprises.
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The newest research and analysis, updated as we publish.
Vendor fraud diverts company funds through fake invoices, impersonation, and altered bank details. The main types, two real cases, and the controls…
Vendor accuracy scores tell you little about production performance. Eleven criteria for evaluating deepfake detection tools, and what to test for each…
BEC attacks exploit trust rather than systems. Eight practical strategies to verify requests, harden email authentication, and catch AI-driven voice and video…
Where the attack surface is moving next. New attacker capabilities that change what can be automated, documented before they show up in incident data.
AI agents plan and act across systems with little human oversight. Anthropic documented a campaign in which AI executed 80 to 90% of the attack, with humans stepping in at four to six decision points. Here is how agentic fraud works, and what to verify before an agent acts.
Each of these reconstructs a real attack in sequence: what the attacker had, what they said, and the exact point at which a detection layer would have changed the outcome.
17% of hiring managers have already interviewed a candidate using deepfake technology. Gartner forecasts one in four candidate profiles could be fake by 2028. Here is how the fraud works, and how to verify who you are hiring.
The $25M video-call fraud, reconstructed step by step.
Why the number on the screen proves nothing about who is calling.
The highest-value social engineering target in the economy.
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Vendor-neutral comparisons, including tools that compete with ours. A benchmark score is not a defence, so each entry states what the tool detects, what it does not, and the conditions under which it degrades.
Ten tools sorted by the job they are built for, and why a lab-benchmark score collapses on a real phone call.
Voice, video and image detection compared across delivery model and coverage.
What covers the full attack sequence versus a single channel.
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Implementation detail for teams already past the buying stage: which signals to read, which layers to stack, and what each layer still misses.
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Four terms get used interchangeably and mean different things. These are the plain definitions the rest of this research builds on.
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Diopter scores live voice and video for synthetic media, and for the conversation patterns that push a person toward an irreversible action.