Show notes
Episode Notes
AI can change how cybersecurity teams monitor threats, respond to risk, and build more adaptive systems, but it is not a magic shield.
In this episode, Cody talks with Bhaskar Sawant about where AI cybersecurity should actually start. The conversation, according to the public YouTube metadata, covers zero trust security, adaptive defense, responsible AI, privacy-preserving systems, AI agents, and the basic security mistakes that remain dangerous even when new tools enter the stack.
This is a grounded conversation for founders, engineers, operators, and curious listeners who want to think more clearly about security before trusting automation with sensitive systems.
Topics include:
- Why there is no perfect cybersecurity solution
- How adaptive defense differs from purely reactive security
- Why AI monitoring can become expensive or complex
- Mapping messy legacy systems
- Getting teams to adopt AI securely
- Responsible AI: reliable, transparent, accountable
- Digital literacy and AI agents
- Zero trust: never trust, always verify
- Personal AI systems and proprietary lock-in
- Privacy-preserving AI systems
- Blockchain, trust, and tradeoffs
- Practical cybersecurity advice for average users
Guest:
Bhaskar Sawant / Bhaskar Bharat Sawant
Guest LinkedIn from public YouTube description: https://www.linkedin.com/in/bhaskar-bharat-sawant-533218122
Manual confirmation recommended before publishing because LinkedIn could not be fully verified from this environment.
Watch the YouTube version:
The Weird Canadian:
https://www.youtube.com/@The_Weird_Canadian
Services:
Async affiliate link:
https://async.com/?ref=zjdlyzn
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Note: This episode is educational commentary and conversation, not legal, compliance, or cybersecurity consulting advice. For your own systems, work with qualified cybersecurity professionals and verify any technical implementation in your environment.
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