When Seeing (and Hearing) Isn't Believing: Defending Against AI-Powered Impersonation Scams (Webinar)
Free Seminar
Free Seminar
Generative AI has handed social engineers a powerful new toolkit, and federal employees are already targets. In July 2025, someone used cloned audio and text to impersonate Secretary of State Marco Rubio, contacting foreign ministers, a U.S. governor, and a sitting senator over Signal. The FBI has confirmed that impersonation of senior officials is an active, ongoing campaign. Government impersonation complaints nearly doubled in 2025, with reported losses topping $797 million.
This 45-minute session gives you a plain language breakdown of what deepfakes, voice cloning, and AI-generated phishing text actually are, and how attackers combine them to make phishing, vishing, and smishing far more convincing than the scams of a year ago. We walk through the Rubio case in detail, from first contact to the tells that finally gave it away.
Attendees will also test their own eye and ear. In a live "Real or Fake?" challenge, you will compare authentic archival footage with an AI-generated deepfake and vote on which is real before we reveal the answer and show you what to look and listen for. Most people get it wrong, which is exactly the point.
Secure and govern AI inside a federal environment — from the threat landscape through to a working agency AI security and governance program.
A full day live on the identity layer: identity, proofing, authentication and MFA, authorization, federation, and the access decision itself — with phishing-resistant MFA at the center.
Practical cybersecurity awareness for the whole government workforce - threats, everyday habits, phishing defense, and the policies that shape your responsibilities.
A half-day live session on insider threat: what the indicators really look like, where to report them, and how insider threat reporting differs from a protected whistleblower disclosure.
Federal agencies are putting AI into service faster than the practices meant to govern and secure it. This intermediate course helps federal staff and their partners build an agency AI governance and security program rooted in federal AI policy and the NIST AI Risk Management Framework — covering AI inventories and risk classification, data governance and privacy, the AI development and acquisition lifecycle, machine learning and generative AI threats, and the oversight and monitoring that keep AI trustworthy, ending with a capstone plan you build yourself.
Assess, authorize, and sustain secure federal cloud services — and stay ahead of FedRAMP's move to the 20x model.
Assess FedRAMP-authorized cloud services, drive the agency ATO process, and hold shared security responsibilities together across the service lifecycle.
A jargon-free grounding in how federal cloud services get secured and where one party's responsibility ends and the other's begins.
An ATO is a beginning, not an ending — federal systems must be watched continuously, with weaknesses tracked and risk reported to leadership over time. This intermediate course grounds Information Security Continuous Monitoring (NIST SP 800-137) in FISMA accountability: design an ISCM strategy, work findings through POA&Ms, and build the metrics and reporting that make ongoing authorization possible.
Recognize and shut down social engineering wherever it comes from — inbox, SMS, phone line, scanned code, or the lobby entrance. Designed to meet the federal yearly security awareness training mandate.