Ep053: Building Generative AI Powered Security Assistants with Amazon Bedrock

Lacework’s VP and Head of Engineering Arash Nikkar, and Product and Security Software Engineer Teddy Reed, discuss their work with generative AI and Amazon Bedrock, focusing on threat detection, chat interface improvements, and the rapid development of AI-driven solutions.Topics Include:Introducing Lacework with Arash NikkarWorking with AWS and BedrockFocusing on threat detectionLacework ingests over a trillion events each dayComposite alerts for detecting anomaliesDeveloping and improving the chat interfaceTeddy Reed talking chat interface improvementsReviewing the architectureFast engagement with generative AI / AWS BedrockThe rapid delivery with Bedrock – took 20% of expected timeBest practice – build in time to review and verify responsesMeasuring customer’s engagement and return frequency and feedbackUnderstanding customer sentiment and topic analysisAchieving 60% completed results and feedbackTransparency of source, responseEnabling assistant to have more access to data from LLMUsing AWS’ model evaluator, raising the accuracy scoresMoving everything over to Bedrock for multiple reasonsFamiliarity of AWS tools helpful for all development and security teamsAlways challenging assumptions – is chat interface the right interface?Q&A 1: Using vector database for analysis, using results as system promptQ&A 2: Approaching cost-optimization and balancing ROIQ&A 3: Using as automated remediation for findingsQ&A 4: Data source Bedrock in leveragingSession wrap upParticipants:Arash Nikkar – VP, Head of Engineering – LaceworkTeddy Reed – Product and Security Software Engineer - Lacework

There are no comments yet.

Please log in to write the first comment.