The rapid advancement of Generative AI has lowered the barrier for creating sophisticated malware, making less experienced hackers capable of propagating attacks in a matter of minutes. This new type of threat highlights the need to develop suitable tools to reduce detection time to a similar timeframe. This talk introduces Kestrel as a Service (KaaS), empowering threat hunters with reusable threat hunting flows from the Kestrel language, effortlessly deployable in the cloud. Augmented by predictive AI model plugins, Kestrel optimizes threat detection, accelerating response times in case of attacks. Kestrel provides a layer of abstraction to stop the repetition involved in cyber threat hunting. Kestrel contains two main components, 1) A threat hunting language for a human to express what to hunt and 2) A machine interpreter that deals with how to hunt. The key objective is to use these components to hunt faster.
Maya is a Software Engineer within the Red Hat Emerging Technologies Security team. Her interests reside in Software Supply Chain Security, with a focus on Python and Open Source.
I have a passion for Cybersecurity and anything open source. I have worked on many initiatives globally for Red Hat/IBM and currently pursuing my Doctorate in Systems Engineering. Examining problems and providing solutions are enjoyable to me. I have enjoyed concentrating on Zero... Read More →
Tuesday June 25, 2024 9:55am - 10:30am PDT
Room 447