Deepfakes, Robocalls, and Other AI Threats: Protect Your Company and Workforce
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In today's rapidly evolving digital landscape, the rise of sophisticated technologies such as deepfakes and robocalls presents unprecedented challenges for businesses. This webinar aims to equip you with the knowledge and tools necessary to protect your company's and employees' assets from these emerging threats.
Key Learning Objectives:
- Understanding the Nature of AI Threats: Gain a comprehensive overview of what deepfakes and robocalls are, how they operate, and why they pose a significant risk to your business. Learn to identify the signs of these AI-driven threats in their early stages, ensuring your organization is well-prepared to respond effectively.
- Identification Techniques: Learn how to identify deepfakes and robocalls with the latest tools and techniques. This session will empower you to distinguish between legitimate communications and AI-generated threats, enhancing your company's security posture.
- Strategies for Prevention and Response: Explore practical, actionable strategies to prevent these AI threats from impacting your business. Understand how to implement robust security measures and develop a response plan that minimizes potential damage and protects your company's assets.
- Educating Your Workforce: Discover the importance of educating your employees about AI threats, including deepfakes and robocalls. Learn how to develop and deliver effective training sessions that empower your staff to recognize and avoid these sophisticated scams.
- Legal and Ethical Considerations: Delve into the legal and ethical implications of AI threats in the workplace. Understand your responsibilities as an employer to safeguard not only your business but also the personal assets of your employees against these digital dangers.
- Latest Trends and Future Outlook: Stay ahead of the curve with insights into the latest trends in AI threats and predictions for future challenges. Equip yourself with the knowledge to continually adapt your defense strategies in an ever-changing technological environment.
Why You Should Attend:
In an era where technology continuously reshapes the landscape of threats, staying informed and proactive is non-negotiable. This webinar is not just an opportunity to protect your business; it's a crucial step in fostering a culture of security and vigilance among your team. By attending, you will not only enhance your understanding of AI threats but also strengthen your organization's resilience against them. Don't miss the chance to lead your company with confidence in the face of digital adversities. Join us to empower your team and safeguard your assets for the future.
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Wendy Sellers
Wendy Sellers, MHR, MHA, SHRM-SCP, SPHR has 25 years of experience in HR, change management, operations, strategy, corporate culture, and leadership development in all size businesses (local startup to global enterprise) in a wide variety of industries including healthcare, professional services, hi [...]
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This webinar received a total of 1 survey responses. Attendees have given an average rating of 4.2 stars out of a possible 5, reflecting the quality and value of the content presented.
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Frequently Asked Questions
Deepfakes are AI-generated audio, video, or image content that convincingly depicts real people saying or doing things they never actually said or did. Powered by generative AI models trained on large datasets of real recordings and images, deepfakes have reached a quality level where they can be difficult to distinguish from authentic media even by trained observers. For businesses, deepfakes pose several serious threats. Executive impersonation deepfakes—fake video or audio of a CEO or CFO authorizing a wire transfer or changing vendor banking details—have already been used to perpetrate multimillion-dollar fraud. Employee reputation deepfakes that portray staff members in compromising or criminal situations can destroy careers and create hostile work environment liability. Disinformation campaigns using deepfake company statements can damage brand reputation and manipulate stock prices for publicly traded companies. In HR contexts, deepfakes of interviews or reference calls can introduce undetected fraud into hiring processes. Wendy Sellers, SHRM-SCP, SPHR, covers the scope and nature of deepfake threats in her Aurora Training Advantage webinar, equipping HR professionals with the knowledge to understand what they are facing and the tools to build organizational defenses. As deepfake technology continues to improve and become more accessible, organizational preparedness is no longer optional—it is a fundamental component of enterprise risk management.
AI-powered robocalls—automated phone calls using cloned or synthesized voice technology to impersonate trusted individuals—have become sophisticated tools for social engineering attacks targeting employees and organizations. Voice cloning technology can now replicate a person's voice from a few seconds of audio, enabling attackers to impersonate executives, HR representatives, IT helpdesk personnel, or government officials with convincing accuracy. Protecting employees from these threats requires both technical controls and behavioral training. Establishing verification protocols for high-risk phone requests—particularly anything involving financial transactions, credential resets, or personal information disclosure—creates a checkpoint that voice cloning cannot bypass: 'For any request to change banking information, our policy requires email confirmation from the requestor's verified address before action is taken.' Educating employees to recognize robocall indicators (unusual urgency, requests for immediate action, pressure not to verify) reduces successful social engineering attempts. Implementing caller ID verification systems and call filtering technology at the organizational level reduces the volume of impersonation attempts that reach employees. Creating a culture where employees feel empowered to challenge and verify unusual requests—even from apparent senior leadership—without fear of embarrassment is one of the most effective behavioral defenses. Wendy Sellers addresses robocall protection strategies in her Aurora Training Advantage AI threats webinar, providing HR professionals with practical prevention frameworks and employee education approaches.
Employee training is one of the most critical defenses against AI-driven threats because technological controls can be bypassed but a well-trained, appropriately skeptical workforce creates a resilient human firewall. Wendy Sellers outlines effective AI threat training strategies in her Aurora Training Advantage webinar, emphasizing that training must address both recognition and response. Recognition training covers the specific indicators of deepfakes (unnatural blinking patterns, audio-video sync issues, artifacts around edges of faces or hair, unnatural lighting consistency), voice-cloned calls (unusual request patterns, slight audio quality differences, failure to answer verification questions naturally), and AI-generated phishing emails (unnaturally smooth writing, slightly off branding, pressure tactics). Critically, employees should understand that these indicators are becoming less reliable as AI quality improves—the inability to detect a deepfake visually is no longer sufficient reason to trust it. Response training establishes behavioral protocols: never act on financial or access requests received solely through phone or video; always verify through a separately confirmed channel (call back on a known number, send email to a verified address); escalate immediately if you suspect an AI-generated impersonation; and report without shame—attackers rely on the hesitation created by social embarrassment at having 'fallen for' an attack. Aurora Training Advantage's HR and security training supports organizations in developing these critical employee education programs.
Employers have both legal obligations and ethical responsibilities when it comes to protecting their employees and organizational assets from AI-generated threats. On the legal dimension, employers have a general duty of care to provide a safe working environment—increasingly interpreted to include cybersecurity threats that can expose employees to financial harm, identity theft, or reputational damage. Data protection laws (GDPR, CCPA, and state-level equivalents) impose specific obligations to protect employee personal data from unauthorized access, including through social engineering attacks that may use AI impersonation. If an employee's voice, image, or likeness is used in a deepfake attack, the employer may have obligations around the investigation, reporting, and remediation depending on applicable law. Employment practices liability can extend to situations where deepfake attacks lead to wrongful disclosure of employee information or create hostile work environment conditions. Ethically, employers have a responsibility to disclose to employees when they are facing elevated AI threat risks, to provide training and tools that enable employees to protect themselves, and to create policies that make it safe for employees to question and verify suspicious requests without professional consequences. Wendy Sellers addresses these legal and ethical dimensions in her Aurora Training Advantage AI threats webinar, helping HR professionals understand both their obligations and the framework for building compliant, employee-protective security programs.
An effective AI threat response plan requires HR and security teams to work together, combining technical incident response capabilities with the human and organizational dimensions that HR manages best. Wendy Sellers outlines response planning components in her Aurora Training Advantage AI threats webinar, drawing on her 25 years of HR and risk management experience. The response plan should begin with threat categorization: distinguishing between deepfake fraud attempts (financial or reputational), voice-cloning social engineering attacks, and AI-generated phishing campaigns, as each requires different immediate responses. Detection protocols—including reporting channels, escalation paths, and initial verification steps—should be documented and exercised before incidents occur. Containment procedures for AI-driven fraud (halting suspicious transactions, revoking potentially compromised credentials, isolating affected systems) must be actionable within minutes rather than hours. Communication protocols define who is notified internally (leadership, legal, HR, IT security) and externally (affected employees, law enforcement, regulators if applicable) in what sequence and through what channels. HR's specific role in the response includes supporting affected employees (particularly if their likeness was used in an attack), managing internal communications, coordinating any necessary personnel actions, and documenting the incident for potential regulatory or legal purposes. Post-incident review—analyzing how the attack occurred, what worked in the response, and what organizational changes prevent recurrence—is the mechanism for continuously improving defenses as AI threat capabilities evolve. Aurora Training Advantage's HR and security training supports this integrated response planning.