World’s Fastest & Most Scalable Security Data Lake

San Francisco
Joined August 2022
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Today we’re announcing Scanner’s $22M Series A, led by Sequoia Capital. Scanner turns object storage into a high-performance security database. No security data should be off-limits to detection and investigation.
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🤘 We’re AMP’D to announce that Scanner is an official @torq_io AMP partner! Together, we’re transforming how security teams operate — empowering our customers to detect and defend against threats, faster.
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Security teams are underwater. 🌊 Alert volume is up, but headcount isn't. Our new guide shows how to build autonomous SOC agents using MCP to automate triage across CrowdStrike, Wiz, and Scanner. scanner.dev/blog/building-yo…
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Security teams aren’t missing attacks. They’re deleting the evidence. Not intentionally. Keeping everything is too expensive. Threat actors don’t evade detection. They live in the 80% of logs you never kept. Cliff from @scanner_dev 🎙 Full episode on Cloud Security Podcast
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FloQast was stuck with short log retention, rising SIEM costs, and way too much friction - so they made a switch. Now they analyze 100TB+ in seconds, keep 12+ months of EDR data, and query straight from S3, no handoff and no headaches. Read about it scanner.dev/customers/floqas…
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Resetting MFA at 3AM? Logging in from two continents in an hour? If it's in your Okta logs, it's worth investigating. New guide: How to build a real detection pipeline from Okta → Grove → Substation → Scanner. Here is the full guide: blog.scanner.dev/monitoring-…
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Big news: Scanner.dev is hitting the stage at @BlueTeamCon 2025 Cliff’s heading to Chicago this Sept to talk AI + SecOps — specifically, how modern security teams can boost productivity without burning out. Let’s connect IRL: 🔗 blueteamcon.com/directory/ai…
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Awesome product, @cotoolai! And thanks for the shoutout at 0:34! 😀 Teamwork makes the dream work
Cotool (@cotoolai) is an agentic security platform that eliminates manual and repetitive work for security teams. It helps teams investigate faster, automates common tasks, and documents work in seconds. ycombinator.com/launches/NW2… Congrats on the launch, @maxpollard415, @eddieconkml, and @endorseurgirl!
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Changelog: You can now transform your logs as they flow into your Scanner indexes. - Add normalized Elastic Common Schema (ECS) fields to popular log source types. - Auto-parse JSON strings and "key=value" pairs. - And more... Transformers - more than meets the eye.
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anyone using data lakes for their logs? doing an info session next week about good methods we're seeing these days, particularly what detection & response teams are doing. come share how you do things! scanner.dev/events/data-lake…
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New Feature Announcement: 🔍Visual Query Builder – Build & switch between visual & text queries seamlessly. Auto-complete & easy visualization included! 🛡️ MITRE-Tagged Detection Rules – Organize & analyze rules with built-in & custom tags. Learn more: bit.ly/40Msfql
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Join our hands-on webinar Jan 30 to learn how to streamline and deploy security detections with Scanner's schemaless log search index in your S3 bucket. UI & code-first approaches, GitHub integration—no complex schemas or heavy engineering. bit.ly/4h3h6IH
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Announcing a major expansion of Scanner's detection capabilities with ready-to-use rules across 12 critical log sources bringing our total to 214 detection rules, covering 11 MITRE ATT&CK tactics and 45 techniques. bit.ly/4jjriyb
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Explore the key benefits of Security Data Lakes, including advanced use cases for threat hunting, streamlined detection and response workflows, and their role in GenAI-powered analysis. bit.ly/40coiuO
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Struggling with Datadog log costs? Security teams face challenges balancing Standard Logs, Flex Logs & Cloud SIEM. Learn how @scanner_dev helps optimize performance and detections, cuts costs, and enhances @datadoghq's power & efficiency. bit.ly/4fwSqHD
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