O TYM ODCINKU
Most security teams treat AI flaws like standard code vulnerabilities, but machine learning can’t simply be patched. On this episode of The Secure Disclosure, host Mackenzie Jackson sits down with Dr Harriot Farlow to unpack adversarial machine learning, shadow AI, practical enterprise defense, and why framing global AI development as an arms race is dangerous.
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INNE ODCINKI W TYM PODCASCIE
Over thirty years ago, cybersecurity visionary Winn Schwartau warned Congress about an electronic Pearl Harbor. Today, he reveals his most alarming prediction yet: the dawn of metawar and cognitive warfare. Discover how modern systems overload human bandwidth, weaponize narratives, and manipulate b…
n the era of rapid AI adoption, is it time for security teams to rethink their entire AppSec stack and throw away traditional SAST and SCA scanners?In this episode of The Secure Disclosure, host Mackenzie Jackson sits down with James Berthoty, cloud security engineer and founder of Latio, a practit…
Why is email security still an absolute mess in the age of generative AI? In this episode of The Secure Disclosure, host Mackenzie Jackson sits down with Josh Kamdjou, CEO of Sublime Security. Discover how attackers abuse trusted platforms, weaponize LLMs for spear phishing at scale, and how autono…
Software supply chain attacks have gone parabolic over the past year, turning open-source packages, CI/CD pipelines, and developer laptops into prime targets for state-sponsored threat actors and AI-augmented attacks.In this special roundtable panel, security leaders from Aikido Security, Socket, O…
How has cybercrime evolved beyond traditional Tor sites into encrypted Telegram channels and automated AI agents? Norman Menz, CEO of Flare, joins the podcast to unpack continuous threat exposure, tracking exposed GitHub secrets, and why non-human identity security is the newest defense battlegroun…
Zastrzeżenie: Podcast i grafika osadzone na tej stronie pochodzą z Mackenzie Jackson, który jest własnością jego właściciela i nie jest powiązany ani wspierany przez Listen Notes, Inc.
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