For many teams, security analytics were restricted to out-of-the-box reporting templates from specific vendor tools. But with Snowflake, security teams can leverage an innovative approach utilizing LLMs to detect threats in telemetry logs like VPC flow logs, extendable to other cloud-based sources such as DNS and CloudTrails.
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Aditya is a Senior Data Scientist at Snowflake, where his work involves detection of anomalies in large-scale dataset. His primary interests revolve around addressing the complexities of scaling machine learning (ML) systems, real-time monitoring of ML systems, assessing model/system performance, as well as the development, deployment, and ranking of ML models and results. Additionally, he boasts experience in building ML systems tailored to Real-Time Bidding (RTB) for Ads, Anomaly detection, Time Series Forecasting, and Natural Language Processing (NLP).
Aditya is a Senior Data Scientist at Snowflake, where his work involves detection of anomalies in large-scale dataset. His primary interests revolve around addressing the complexities of scaling machine learning (ML) systems, real-time monitoring of ML systems, assessing model/system performance, as well as the development, deployment, and ranking of ML models and results. Additionally, he boasts experience in building ML systems tailored to Real-Time Bidding (RTB) for Ads, Anomaly detection, Time Series Forecasting, and Natural Language Processing (NLP).
Terry Sweeney is a Los Angeles-based writer and editor who's covered business technology for three decades. He's written about cyber security for more than 15 years and was one of the founding editors of Dark Reading. Sweeney has covered enterprise networking extensively, as well as its supporting technologies like storage, wireless, cloud-based apps and the emerging Internet of Things. He's been a contributing editor to The Washington Post, Crain’s New York Business, Red Herring, Information Week, Network World, SearchAWS.com, and Stadium Tech Report.