$25 million. One video call. Gone.

January 2025. A finance employee at a multinational engineering firm joined a video call with their CFO to discuss a confidential transaction.

The CFO's face looked right. The voice sounded right. Other colleagues on the call confirmed the details. The employee authorized wire transfers totaling $25.6 million.

Every person on that call was a deepfake. AI-generated faces. Cloned voices. The attackers used publicly available footage, earnings calls, and conference presentations to recreate perfect replicas of executives.

By the time the real CFO found out, the money was gone.

This isn't an isolated incident. Deepfake fraud surged 1,740% in North America between 2022 and 2023. Financial losses from deepfake attacks exceeded $200 million in Q1 2025 alone. And 62% of organizations have already experienced a deepfake attempt.

Here's what makes this different from every other security threat you've dealt with:

Your cloud infrastructure makes this possible, and traditional security frameworks don't cover it.

The AI models that generate these deepfakes? They run on cloud platforms. The training data? Stored in cloud databases. The deepfake-as-a-service tools criminals use? Entirely cloud-based.

Voice cloning takes 20-30 seconds of audio. Creating a convincing video deepfake takes under an hour with freely available software. And all of this happens in cloud environments your traditional security controls weren't designed to protect.

Think about your current security architecture. You know how to secure networks, implement access controls, and protect data at rest and in transit. But do you know how to:

• Secure machine learning models running in your cloud environment?
• Monitor for unauthorized access to AI training data?
• Detect when cloud-based video conferencing systems are being manipulated?
• Configure cloud security services that identify AI-generated content in real time?

These aren't traditional security questions. They're cloud-native threats that require cloud-specific knowledge.

CCSP gives you that knowledge.

CCSP teaches cloud security architecture designed for modern threats. You'll learn how to implement identity and access management when identities can be forged. How to configure cloud-native security services. How to architect secure systems that support AI workloads.

Our CCSP bootcamp runs March 9-13, 2026. 

But cloud security controls alone won't prevent deepfake fraud.

The finance employee who lost $25.6 million worked at a company with strong security architecture. They had dual authorization requirements for large transfers. They verified requests through multiple channels.

Those controls assumed you could trust what you see and hear. They assumed identity verification meant recognizing someone's face or voice on a video call.

All of those assumptions are now obsolete.

You need risk management frameworks that account for threats traditional security controls can't stop. How do you identify risks from AI-generated attacks? How do you assess the business impact compared to other fraud vectors? How do you implement verification controls that work when video and voice can be perfectly faked?

That's enterprise risk management; and it's what CRISC addresses.

CRISC teaches you to identify emerging threats like deepfake fraud, assess their impact on your organization, implement controls that actually prevent AI-driven attacks, and monitor effectiveness before problems cost millions.

Our CRISC bootcamp runs February 23-26, 2026. Kelly Handerhan is teaching—she holds her CRISC, she's a Top 100 Trainer, and she's trained thousands of security professionals on risk management that works in modern environments.

This is our first public CRISC bootcamp, and we're offering $200 off as a launch discount.

Deepfake attacks exploit both technical infrastructure and risk management gaps. You need cloud security knowledge to protect the systems attackers use. And you need enterprise risk management to implement controls traditional frameworks miss.

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Stay secure,
The DestCert Team