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AI-Driven Scams and Identity Fraud: Street-Ready Investigation Strategies
Course Overview: From voice-cloned “relative in distress” calls to bogus profiles backed by deepfake IDs, criminals are exploiting AI to supercharge fraud on our streets. This one-day course delivers street-ready tactics to help officers and detectives stay ahead of the curve. In plain language (no tech geek-speak), veteran instructors from cybercrime and fraud units break down how con artists are using generative AI right now – and what you can do about it. You’ll learn from real scam scenarios (like fraudsters using AI to mimic a victim’s family member’s voice and demand ransom and get hands-on strategies to identify AI-generated content, interview scam victims, and track digital leads. The focus is on immediate action: recognizing the new red flags, adapting your investigative approach, and deploying no-BS solutions that shut down AI-enhanced cons. Walk away prepared to tackle the next AI-driven scam that lands on your desk – with the confidence that you’re using techniques that work today, not outdated theory.
Key Topics Covered:
AI in social engineering: How criminals exploit generative AI to craft believable phishing emails, texts, and social media messages at scale– reducing the tell-tale errors and tricking more victims in romance scams, investment fraud, and beyond.
Synthetic images & identities: The creation of fake personas using AI-generated profile photos and doctored credentials. Learn to spot AI-generated profile pictures and detect fraudulent IDs (like driver’s licenses or law enforcement badges) used in identity theft schemes.
Voice cloning frauds: In-depth look at scams using AI-cloned voices – from fake kidnapping/extortion calls (“Send money or your loved one gets hurt”) to scammers impersonating government or police officials. Includes strategies for officers to verify if a call is legitimate or an AI-driven hoax (e.g. using code words or callback verification.
Deepfake videos in fraud: How scammers may employ deepfake videos of CEOs, attorneys, or officials to bolster schemes (such as phony business transactions, “video chat” verification of identity, or fake charity appeals with AI-created disaster footage).
Investigation and response: Step-by-step guidance for patrol and investigators responding to an AI-based fraud incident – from initial recognition of red flags (unusual phrasing, uncanny audio quality, mismatched visuals) to evidence preservation (recordings, screenshots) and effective reporting to IC3/FBI.
Community and interagency action: How to educate the public on AI scam tactics to prevent victimization, and when to bring in specialized units or federal partners for complex cases. Emphasis on sharing intelligence (bulletins, officer safety alerts) about new AI-enabled fraud trends as they emerge.
Course Format: 1 Day (8 Hours) – Live In-Person Training
Target Audience: Patrol officers, detectives (financial crimes, fraud, cyber investigations), crime analysts, and any law enforcement personnel who handle scam reports, identity theft, or public-facing fraud cases in the community.
Learning Outcomes: Upon completion of this training, participants will be equipped to:
Recognize the hallmarks of AI-generated content in the context of fraud – including text, image, audio, and video clues that signal a scam may be machine-assisted.
Quickly assess scam calls and messages for authenticity (for example, using verification questions to expose an AI voice clone or spotting subtle errors in a “deepfake” ID).
Investigate AI-enabled fraud cases efficiently by securing digital evidence (voice recordings, fake profiles, transaction records) and applying effective interview techniques with victims who may be confused or fearful after being targeted.
Liaise with financial institutions, tech platforms, and federal resources (such as filing timely reports with the FBI’s IC3 to maximize the chances of tracing suspects and recovering losses.
Inform and protect the community by disseminating up-to-date scam warnings and training colleagues and citizens on how to spot and avoid AI-driven fraud tactics.
Course Overview: From voice-cloned “relative in distress” calls to bogus profiles backed by deepfake IDs, criminals are exploiting AI to supercharge fraud on our streets. This one-day course delivers street-ready tactics to help officers and detectives stay ahead of the curve. In plain language (no tech geek-speak), veteran instructors from cybercrime and fraud units break down how con artists are using generative AI right now – and what you can do about it. You’ll learn from real scam scenarios (like fraudsters using AI to mimic a victim’s family member’s voice and demand ransom and get hands-on strategies to identify AI-generated content, interview scam victims, and track digital leads. The focus is on immediate action: recognizing the new red flags, adapting your investigative approach, and deploying no-BS solutions that shut down AI-enhanced cons. Walk away prepared to tackle the next AI-driven scam that lands on your desk – with the confidence that you’re using techniques that work today, not outdated theory.
Key Topics Covered:
AI in social engineering: How criminals exploit generative AI to craft believable phishing emails, texts, and social media messages at scale– reducing the tell-tale errors and tricking more victims in romance scams, investment fraud, and beyond.
Synthetic images & identities: The creation of fake personas using AI-generated profile photos and doctored credentials. Learn to spot AI-generated profile pictures and detect fraudulent IDs (like driver’s licenses or law enforcement badges) used in identity theft schemes.
Voice cloning frauds: In-depth look at scams using AI-cloned voices – from fake kidnapping/extortion calls (“Send money or your loved one gets hurt”) to scammers impersonating government or police officials. Includes strategies for officers to verify if a call is legitimate or an AI-driven hoax (e.g. using code words or callback verification.
Deepfake videos in fraud: How scammers may employ deepfake videos of CEOs, attorneys, or officials to bolster schemes (such as phony business transactions, “video chat” verification of identity, or fake charity appeals with AI-created disaster footage).
Investigation and response: Step-by-step guidance for patrol and investigators responding to an AI-based fraud incident – from initial recognition of red flags (unusual phrasing, uncanny audio quality, mismatched visuals) to evidence preservation (recordings, screenshots) and effective reporting to IC3/FBI.
Community and interagency action: How to educate the public on AI scam tactics to prevent victimization, and when to bring in specialized units or federal partners for complex cases. Emphasis on sharing intelligence (bulletins, officer safety alerts) about new AI-enabled fraud trends as they emerge.
Course Format: 1 Day (8 Hours) – Live In-Person Training
Target Audience: Patrol officers, detectives (financial crimes, fraud, cyber investigations), crime analysts, and any law enforcement personnel who handle scam reports, identity theft, or public-facing fraud cases in the community.
Learning Outcomes: Upon completion of this training, participants will be equipped to:
Recognize the hallmarks of AI-generated content in the context of fraud – including text, image, audio, and video clues that signal a scam may be machine-assisted.
Quickly assess scam calls and messages for authenticity (for example, using verification questions to expose an AI voice clone or spotting subtle errors in a “deepfake” ID).
Investigate AI-enabled fraud cases efficiently by securing digital evidence (voice recordings, fake profiles, transaction records) and applying effective interview techniques with victims who may be confused or fearful after being targeted.
Liaise with financial institutions, tech platforms, and federal resources (such as filing timely reports with the FBI’s IC3 to maximize the chances of tracing suspects and recovering losses.
Inform and protect the community by disseminating up-to-date scam warnings and training colleagues and citizens on how to spot and avoid AI-driven fraud tactics.