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Unencrypted Chatter - ISC2 New Jersey Chapter Podcast

Welcome to Unencrypted Chatter, the official podcast of the ISC2 NJ Chapter! Join us as we explore the unique experiences and challenges within our cybersecurity community.

Podcast · By ISC2 NJ Chapter · English · Official site

Indexed episodes, last 90 days
3
Latest publication
Sep 9, 2026
Audience
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Earliest in this view
Jul 27, 2026

Latest episodes

  1. Episode · Sep 9, 2026

    Episode 27: CISSP Meets GTM with Debra Price (opens the original)

    Episode notes

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    On this stop of the Unencrypted Chatter Roadshow, host Joe Patti catches up with NJ SECON speaker Debra Price ahead of her talk to explore what happens when cybersecurity meets Go-to-Market strategy. Debra breaks down GTM and why building a great product is only part of the equation. With 42% of startups failing because of a lack of product-market fit, understanding your audience, analyzing the market, and determining whether there is real demand can make all the difference. The conversation als

  2. Episode · Aug 11, 2026

    Episode#26: Fighting AI with AI with Dr. Erdal Ozkaya (opens the original)

    Episode notes · Positive tone

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    AI is making us faster and smarter, but it is doing the same for the adversary. Recorded live at NJ SECON 2026, closing keynote speaker Dr. Erdal Ozkaya joins hosts Joe Patti and Rich Mendoza to explore the new rules of enterprise security in an age where AI is both a powerful defender and an emerging weapon. From prompt-based attack vectors and the growing threat of Shadow AI to attackers moving faster than defenders, the conversation challenges us to rethink how we protect our organizations. I

  3. Episode · Jul 27, 2026

    Episode#25: Inside Agentic AI with Alissa Knight (opens the original)

    Episode notes · Neutral tone

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    Recorded live at NJ SECON 2026, Alissa Knight joins Joe Patti and Richard Mendoza immediately following her keynote for a conversation on the future of agentic AI. Alissa explains what an AI harness is and why it's becoming the missing piece between large language models and autonomous AI agents. Using the analogy of the harness as the "body" and the LLM as the "brain," she breaks down how these systems work together to create intelligent, task-driven AI. The discussion also explores Ares, Claud

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