Using AI to Ingest and Orchestrate Security Data at Scale

Using AI to Ingest and Orchestrate Security Data at Scale

Welcome to our online event where we will dive into the world of modern security solutions powered by Artificial Intelligence. From automated threat detection to intelligent incident response, learn how to enhance your security stack and keep your data safe in today's ever-evolving threat landscape with Artificial Intelligence.

Today’s SOC teams are overwhelmed by a tsunami of telemetry from an ever-expanding attack surface, including cloud, SaaS, AI, and more. This session will chat about why old-school data systems just can't keep up, share some quick tips for filtering out the noise, and show how AI can make your life easier by finding the important stuff and spotting security threats faster.

Artificial Highlights include:

Purpose built for security, CeTu's AI-powered automation enables you to control costs and only ingest the data that matters – effortlessly – without manually analyzing unintelligible logs or writing custom scripts. Streamlining Mundane Tasks - AI can take over repetitive tasks like parsing, normalizing, and filtering logs. This means security teams can focus on more critical issues rather than getting bogged down by routine data processing. Uncovering Valuable Security Insights - AI can analyze vast amounts of data to identify patterns and anomalies that might indicate a security threat. This helps in enhancing the overall security posture and speeds up breach detection. Efficient Data Management - AI-powered automation can control costs and ensure that only relevant data is ingested, reducing the need for manual analysis of logs. Quick-Wins for Filtering Data - AI can provide strategies for filtering out unnecessary data from logs while ensuring access to important information for future investigations and compliance.

See in action CeTu's CTO and Head of Product demonstrate Artificial Intelligence manage:

1. Why traditional, monolithic data stacks – where everything gets dumped in the SIEM – are no longer sufficient to handle the scale and complexity of security telemetry.

2. Quick-wins for filtering unnecessary and irrelevant data from your logs – and how to make sure you still have access to all your data for investigations and compliance in the future.

3.How AI can automate tedious tasks like parsing, normalizing, and filtering logs.

4. How AI can leverage security context from your SIEM to uncover detection gaps and intelligently determine which critical data should be retained and what can be offloaded to cost-efficient cloud storage or data lakes.

Speakers:

Kfir is the CTO and co-founder of CeTu, the data orchestration platform for the modern SOC. Kfir is an expert in cybersecurity as well as in cloud, analytics, and high-performance data pipeline architectures. He previously led development for Drivenets, a scalable, cloud-native network data processing platform. Kfir started his career in the cybersecurity unit of the IDF and holds a B.Sc. in Computer Science from the College of Management Academic Studies.

Michal is head of product for CeTu, the data orchestration platform for the modern SOC. Prior to CeTu, she served in senior product leadership roles at CybeReady, Zerto, and SolarEdge. Michal holds a B.Sc. in Computer Engineering from the Technion – Israel Institute of Technology.

Cloud Security Alliance Delaware Valley 2025 Charity Support Program

Even Non-Profits help Non-Profits so this year we are asking that you help us help others by supporting us with your attendance and allowing us to share with others. This year we have chosen to help the charity "Shoes that Fit" https://www.shoesthatfit.org/

A percentage of our donation is shared with this charity to spread the good will back to the community for your attendance time.