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Everyone's asking the wrong question about AI and cybersecurity careers. The question isn't whether AI will replace you — it's which new jobs AI is creating that didn't exist two years ago.

In this episode, I break down the actual hiring data, funding signals, and vendor earnings to map exactly where the cybersecurity job market is heading. Entry-level SOC and GRC roles are shrinking — but overall postings are up 12%, with 514,000 active openings. AI created 10 entirely new security domains. Workers with AI skills earn a 56% wage premium. And $6.34 billion flowed into AI security startups last year alone.

If you're a SOC analyst or GRC professional, pay attention to the diagnostic at the 3-minute mark — it tells you exactly where your domain sits on the shrinking-stable-growing spectrum. If you're trying to break into cybersecurity, the segment at 7:30 shows you the five domains with the strongest entry-level demand right now.

I also unpack the Koi Signal — how a one-year-old startup got acquired for $400 million in a category that didn't have a name in 2023 — and what the Big 3 vendors' $33 billion acquisition spree tells you about where your next job is.

Models are to be used, not believed. Same goes for your career. Use AI. Don't fear it. Don't wait

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Google Drive link for Podcast content:
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My Profile on LinkedIn: https://www.linkedin.com/in/prashantmishra11/
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Twitter handle https://twitter.com/prashant_cyber

PS: The views are my own and dont reflect any views from my employer.

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In November 2025, Anthropic — an AI company, not a cybersecurity vendor — published a threat intelligence report documenting the first confirmed AI-orchestrated cyber espionage campaign. A Chinese state-sponsored group (GTG-1002) jailbroke Claude AI into an autonomous hacking agent that attacked ~30 organizations, handling 80–90% of tactical operations independently. The report got a week of press coverage and everyone moved on. But this episode argues it's the most important cybersecurity report of the decade — and that every major frontier AI lab will publish something similar.

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Google Drive link for Podcast content:
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My Profile on LinkedIn: https://www.linkedin.com/in/prashantmishra11/
Youtube Channnel : https://www.youtube.com/@TheCybermanShow
Twitter handle https://twitter.com/prashant_cyber

PS: The views are my own and dont reflect any views from my employer.

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Today's explores the impact of agentic AI on security landscapes, particularly concerning identity management. It begins by defining AI agents as digital workers that independently pursue goals, outlining their components like perception, reasoning, and learning, and their multi-layered infrastructure. The discussion then transitions to the new attack surfaces introduced by AI agents, such as identity spoofing, privilege creep, and prompt injection, highlighting how agents’ dynamic and ephemeral nature poses unique security challenges. I have critically examined the limitations of current human-centric identity solutions like OAuth and SAML in accommodating machine identities, advocating for a machine-first approach in identity security. Finally, the episode details how the industry is evolving to address these shortfalls through zero trust for agents, policy as code, and enhanced auditability, citing examples from major cloud providers and dedicated identity management companies.

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Google Drive link for Podcast content:
https://drive.google.com/drive/folders/10vmcQ-oqqFDPojywrfYousPcqhvisnko

My Profile on LinkedIn: https://www.linkedin.com/in/prashantmishra11/
Youtube Channnel : https://www.youtube.com/@TheCybermanShow
Twitter handle https://twitter.com/prashant_cyber

PS: The views are my own and dont reflect any views from my employer.

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This episode offers an extensive exploration of AI-driven code generation, known as vibe coding. This episode details how AI tools like Lovable simplify app development for both technical and non-technical users by generating code from natural language prompts. It contrasts this emerging practice with traditional software engineering and the future of AI-native development. The podcast also highlights significant cybersecurity risks associated with AI-generated code, citing reports from Veracode and Backbench that reveal a high percentage of insecure code. Finally, it provides recommendations for secure vibe coding, emphasizing human review and secure prompting techniques, and identifies new skill sets essential for the evolving landscape of AI-powered software creation.

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Google Drive link for Podcast content:
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Youtube Channnel : https://www.youtube.com/@TheCybermanShow
Twitter handle https://twitter.com/prashant_cyber

PS: The views are my own and dont reflect any views from my employer.

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Today's episiode introduces Model Context Protocol (MCP), an open standard designed to enable Artificial Intelligence (AI) applications, particularly Large Language Models (LLMs), to seamlessly interact with third-party tools and data sources. It explains MCP's architecture, including hosts, clients, servers, and external tools, and highlights its benefits such as eliminating knowledge cut-offs, reducing hallucinations, and enhancing AI's capability to perform real-world actions. The discussion also touches upon the growing adoption of MCP servers by cybersecurity vendors to facilitate natural language interaction with security platforms, while acknowledging the potential security implications of this new architectural layer.

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Google Drive link for Podcast content:
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My Profile on LinkedIn: https://www.linkedin.com/in/prashantmishra11/
Youtube Channnel : https://www.youtube.com/@TheCybermanShow
Twitter handle https://twitter.com/prashant_cyber

PS: The views are my own and dont reflect any views from my employer.

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Today's episode provides a comprehensive overview of a Forest Wave security analytics platform report, acting as a guide for understanding the evolving landscape of security solutions. The discussion centers on evaluating various platforms, including Security Information and Event Management (SIEM) and Extended Detection and Response (XDR) products, based on product features and strategic approaches. It highlights key evaluation parameters like analytics, user behavior analysis, incident management, data handling, and the growing integration of AI. Furthermore, the episode tracks vendor changes and market consolidation, emphasizing the importance of innovation and aligning with leading technologies for security professionals.

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Google Drive link for Podcast content:
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My Profile on LinkedIn: https://www.linkedin.com/in/prashantmishra11/
Youtube Channnel : https://www.youtube.com/@TheCybermanShow
Twitter handle https://twitter.com/prashant_cyber

PS: The views are my own and dont reflect any views from my employer.

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Todays episode vocers a comprehensive overview of Network Detection and Response (NDR) technology, explaining its core function in detecting abnormal and malicious system behaviors by analyzing network traffic data. It outlines key features such as data ingestion, detection, and response, and discusses common use cases including lateral movement and insider threat detection, even extending to Operational Technology (OT) environments. The text also reviews the current market vendors based on a Gartner Magic Quadrant analysis, differentiates NDR from other security technologies like EDR, SIM, and XDR, and explores the integration of AI in enhancing NDR capabilities.

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Google Drive link for Podcast content:
https://drive.google.com/drive/folders/10vmcQ-oqqFDPojywrfYousPcqhvisnko

My Profile on LinkedIn: https://www.linkedin.com/in/prashantmishra11/
Youtube Channnel : https://www.youtube.com/@TheCybermanShow
Twitter handle https://twitter.com/prashant_cyber

PS: The views are my own and dont reflect any views from my employer.