Applied GAI in Security

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Brandon Dixon

Brandon Dixon

Brandon is a cybersecurity expert currently leading Security Copilot at Microsoft. He is known for creating PassiveTotal, Blockade.io, NinjaJobs, PDF X-Ray, and other opensource tools

Last Week in GAI Security Research - 05/20/24

Last Week in GAI Security Research - 05/20/24

Discover cutting-edge advancements in LLMs for steganalysis, chip design security, DDoS detection, cyber news classification, and SMS spam detection.

Last Week in GAI Security Research - 05/13/24

Last Week in GAI Security Research - 05/13/24

Last week, over 40,000 security professionals descended upon San Francisco, CA for the RSA Conference, themed "the art of the possible." In previous years, the expo floor buzzed with over-hyped technologies that often became the main marketing pitches for the hundreds of vendors present. This year, however,

Last Week in GAI Security Research - 05/06/24

Last Week in GAI Security Research - 05/06/24

Explore cutting-edge research on malware detection, backdoor attacks, and code deobfuscation in LLMs

Last Week in GAI Security Research - 04/29/24

Last Week in GAI Security Research - 04/29/24

Explore AI security with insights on jailbreaking LLMs, image generation, phishing detection, trojan triggers, and API attacks. Discover advanced defense techniques in AI cybersecurity.

Last Week in GAI Security Research - 04/22/24

Last Week in GAI Security Research - 04/22/24

Unlock cutting-edge AI & cybersecurity insights: From robust LLM defenses to tackling AI threats, stay ahead in the tech game with our latest analyses.

Last Week in GAI Security Research - 04/15/24

Last Week in GAI Security Research - 04/15/24

Balancing AI safety with functionality, highlighting attack effectiveness, exposing language vulnerabilities, innovating content moderation, and exploring security nuances.

Last Week in GAI Security Research - 04/08/24

Last Week in GAI Security Research - 04/08/24

Delve into cutting-edge AI defenses and vulnerabilities: From robust strategies against sophisticated attacks to the exploration of LLM jailbreak phenomena.