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In today’s rapidly evolving threat landscape, human risk remains one of the most critical challenges for CISOs. While technology defenses are essential, employee behaviors often define the difference between a contained incident and a costly breach. This AI Demo Talk explored how AI is reshaping human risk management by bringing automation, personalization, and real-time intervention into the security culture.

Key Highlights:

- Deepfake Vishing Agent: Demonstrating how we simulate realistic vishing attacks using cloned voices and AI personas to help employees identify and respond to deepfake social engineering threats.

- AI-Enabled Content Creation: Showcasing how we generate personalized training content aligned with each company’s policies, tone, and language using generative AI models.

- Real-Time Personalized Intervention: Walking through how we integrate with security tools (SIEM, EDR, IAM) to deliver in-the-moment coaching based on live alerts and user behavior.

About Speaker:

- Uzair Ahmed Gilani (CTO, Right Hand Cybersecurity)

Listen To Live Chat : (Recorded)

Featuring Uzair Ahmed Gilani (CTO, Right Hand Cybersecurity)

Executive Summary

• Human vulnerabilities remain a top attack vector. To address them, security teams must move from reactive training to ongoing, contextual engagement.

• This talk spotlighted three core areas:
    1. Deepfake vishing agents – using voice cloning and AI personas to simulate advanced social engineering attacks.
    2. AI-enabled content creation – auto-generating training that aligns with corporate policy, tone, and individual risk profiles.
    3. Real-time personalized intervention – linking with SIEM, EDR, IAM, etc. to deliver “in the moment” coaching nudges when risky behavior is detected.

• The vision: turn alerts into teaching moments, reduce phishing click rates, and shift security culture toward continuous learning.

• But the path is not without its challenges—data privacy, false positives, model bias, and user fatigue all must be managed.

Conversation Highlights

Deepfake Vishing Agents: Experiencing the Threat

One of the most striking demos was the deepfake vishing scenario. Uzair illustrated how the system can clone a leader’s voice and craft an AI persona to call employees, coaxing them into divulging sensitive information or performing actions. This “red team as a service” approach surfaces blind spots in verification protocols.

Key takeaways:

• Even well-trained employees struggled to distinguish voice clones from genuine calls when context and conversational cues are realistic.

• The exercise exposed the need for verification layers—call-back policies, secondary channels, or multimodal authentication.

• Organizations should run periodic adversarial simulations (vishing, smishing, etc.), not just generic training, to build awareness of evolving threats.

AI-Enabled Personalized Training Content

Generic security modules often fall flat. Uzair explained how Right Hand Cybersecurity leverages generative models to produce training aligned to each company’s voice, terminology, policy structure, and risk posture.

Highlights:

• Micro-modules generated automatically (e.g. 1–3 minute clips), tailored to user roles, prior performance, locale, and language.

• Dynamic versioning to reflect policy updates or emergent threats (e.g. new phishing tactics).

• Better engagement and retention due to customized relevance vs one-size-fits-all modules.

Real-Time Personalized Intervention: Coaching at the Point of Risk

Perhaps the most compelling component was the system’s integration with security infrastructure. When an alert triggers—say a risky app installation or suspicious login—the platform can automatically deliver feedback or guidance to the user (via email, Slack, Teams, etc.).

Key insights:

• This approach turns alerts into teachable moments rather than just logs.

• The interventions are contextual: referencing the specific behavior (e.g. “We saw you installed software from an unknown vendor—here’s why that might be risky”).

• There’s a feedback loop: user responses and behavior changes feed back into the model to reduce false positives and make the coaching smarter over time.

Final Thoughts

Traditional awareness training is no longer sufficient. As attackers adopt AI-powered deception, defense must evolve. The future of human risk management lies at the intersection of simulation, personalization, and in-time intervention. This session made a compelling case: when security touches the human moment—in context and with relevance—behavioral risk can be managed much more effectively.

For CISOs and security leaders, the ask is clear: pilot human risk AI, measure its efficacy, and adopt iteratively. The human layer is the last frontier—AI just might be the tool to bring it under control.