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Adaptive Security

Third-party toolPaidCoding & Development

Security awareness training that simulates deepfake voice calls and AI phishing, because that is what attacks now look like.

Highlights

  • Deepfake simulation attacks delivered over voice calls, SMS, and email
  • Hyperrealistic phishing and spear-phishing campaigns tailored per employee
  • AI-generated training content that adapts to emerging social-engineering tactics
  • Automated phish triage and classification of reported messages
  • Dynamic employee risk scoring at individual, team, and organization levels
  • Real-time detection and mitigation of active phishing threats
  • Compliance-oriented reporting and dashboards for security awareness programs
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External link — opens adaptivesecurity.com in a new tab. Adaptive Security is a third-party product; we are not affiliated with it.

About Adaptive Security

What it is

Adaptive Security runs realistic simulations of AI-powered social engineering — deepfake voice calls, SMS phishing, targeted spear-phishing email — against an organisation's own staff, then trains and scores them on how they responded. The premise is that awareness training built for generic phishing does not prepare anyone for an attack that sounds like their finance director.

Why it's different

The threat is real and recent: voice cloning has made convincing impersonation cheap, and the large losses now reported usually involve a call rather than only an email. Training against the current attack rather than a 2015 one is straightforwardly sensible, and simulated deepfake calls are something no incumbent awareness vendor was doing. The tension to be aware of is cultural. Deepfaking an executive's voice to test employees is effective and can badly damage trust if handled carelessly, and punitive scoring teaches people to hide mistakes rather than report them — which is the opposite of what a security team needs.

How people use it

It is bought after a near miss, or by finance and executive functions who are the actual targets of these attacks. The pattern that works is treating a failed simulation as a training moment rather than a disciplinary one, and pairing it with a process fix — a call-back verification rule for payment changes does more than any amount of awareness, because it removes the need for anyone to judge whether a voice is real.

Written by the n3os team. We are not affiliated with Adaptive Security.

This listing was written from public information, without Adaptive Security’s involvement. If you own it and something here is wrong — or you would rather not be listed at all — email us and we will correct or remove it.

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