Happy Thanksgiving from Panther! Grateful for the team who builds, the customers who trust us, and the partners who push us forward.
Panther
Computer and Network Security
San Francisco, CA 13,896 followers
Turn up the volume, turn down the noise.
About us
Panther is the security monitoring platform for the cloud. Unlike ‘next-gen’ SIEMs that rely on historical detections and closed ecosystems, Panther enables flexible defense in production environments with streaming data analysis, programmable detections, and seamless cloud integration – empowering teams to optimize costs and control, accelerate incident response, and achieve cross-system visibility at scale.
- Website
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https://panther.com/
External link for Panther
- Industry
- Computer and Network Security
- Company size
- 51-200 employees
- Headquarters
- San Francisco, CA
- Type
- Privately Held
- Founded
- 2018
- Specialties
- Cloud Security, Information Security, Startup, AWS, AWS Security, SIEM, Cloud-Native SIEM, big data, Security Data Lake, Security, Detections as Code, Splunk Alternative, Cloud SIEM, Log Analysis, Security Monitoring, Python, and threat detection
Products
Panther
Security Information & Event Management (SIEM) Software
Panther is the security monitoring platform for the cloud. Unlike ‘next-gen’ SIEMs that rely on historical detections and closed ecosystems, Panther enables flexible defense in production environments with streaming data analysis, programmable detections, and seamless cloud integration – empowering teams to optimize costs and control, accelerate incident response, and achieve cross-system visibility at scale.
Locations
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Primary
Get directions
San Francisco, CA 94103, US
Employees at Panther
Updates
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Have your SOC 2 audits been a slog? 🛑 Stop getting bogged down in manual evidence collection, complex control monitoring, and the never-ending scramble of audit prep. We partnered with Amazon Web Services (AWS), Latacora, and Vanta to show you how modern teams are automating continuous compliance and dramatically reducing audit time with a unified platform. Watch this recording to learn how to: ◾ Reduce audit prep time using the Vanta + Panther integration for continuous evidence collection. ◾ Achieve continuous alignment with SOC 2 controls using real-time detection and automated log retention, with live demos from Latacora. ◾ Implement best practices for simplifying compliance across frameworks using native AWS integrations. If you are tired of playing catch-up during audit season, this session provides the actionable strategy your team needs to stay audit-ready year-round.
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When incident management breaks down, it’s rarely about tools. It’s about culture, communication, and how teams handle pressure. In this 𝐷𝑒𝑡𝑒𝑐𝑡𝑖𝑜𝑛 𝑎𝑡 𝑆𝑐𝑎𝑙𝑒 episode, Rootly CEO & Co-founder JJ Tang joins Jack Naglieri to talk about what separates resilient teams from reactive ones, and how Rootly built a culture that scales with every incident. 🎧 Episode 53 is live: https://lnkd.in/eAU57_9R #DetectionAtScale #SecurityCulture #IncidentResponse #SecOps
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𝐇𝐨𝐰 𝐙𝐚𝐩𝐢𝐞𝐫 𝐜𝐮𝐭 𝐧𝐨𝐢𝐬𝐞 𝐚𝐧𝐝 𝐠𝐚𝐢𝐧𝐞𝐝 𝐜𝐥𝐚𝐫𝐢𝐭𝐲 𝐢𝐧 𝐭𝐡𝐞𝐢𝐫 𝐒𝐎𝐂 When you’re only logging 20% of events, every alert carries risk. Zapier’s security team faced that reality. When they switched to Panther, they boosted visibility to 70%, saved ~$400 K annually, and moved from manual triage to proactive detection. 𝐇𝐞𝐫𝐞’𝐬 𝐚 𝐬𝐧𝐢𝐩𝐩𝐞𝐭 𝐨𝐟 𝐰𝐡𝐚𝐭 𝐭𝐡𝐞𝐲 𝐝𝐢𝐝: • On-boarded six critical data sources in ~2 days—roughly half the time of a legacy approach. • Built Python-based detections using the engineering skills they already had. • Consolidated multiple log sources into one platform, reducing context-switching and alert fatigue. Want to see how your team could cut noise and get ahead of alerts? 🔗 Read the full case study → https://lnkd.in/eaKPYQBS #CustomerStory #SecOps #DetectionEngineering #Panther
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Panther reposted this
Your legacy SIEM forces compromises on data visibility and cost; Panther and Torq provide a modern, closed-loop solution. ⭕ 🎥 Watch the AMP'd Session to see the future of the modern data pipeline ft. Mike Olsen, Brittney Wittfeldt, and Bob Boyle: https://bit.ly/4rgHtAv
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“𝐖𝐨𝐫𝐤 𝐛𝐚𝐜𝐤𝐰𝐚𝐫𝐝𝐬 𝐟𝐫𝐨𝐦 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐞 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐲𝐨𝐮𝐫 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧𝐬.” — Thijn Bukkems, Grammarly, on 𝐷𝑒𝑡𝑒𝑐𝑡𝑖𝑜𝑛 𝑎𝑡 𝑆𝑐𝑎𝑙𝑒 (Ep 52) Too many security teams build alerts first and then figure out what to do with them. In our conversation with Thijn, we explored how 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐝𝐞𝐬𝐢𝐠𝐧 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐩𝐫𝐨𝐠𝐫𝐚𝐦𝐬 𝐛𝐲 𝐬𝐭𝐚𝐫𝐭𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐡𝐨𝐰 𝐲𝐨𝐮’𝐥𝐥 𝐫𝐞𝐬𝐩𝐨𝐧𝐝, then build the logic, tooling, and workflows around that. Here’s what you’ll learn: • Leveraging your existing tools intelligently, instead of starting from scratch. • How threat-modeling and response tactics inform detection logic. • Why breaking down silos between teams is key to uncovering unexpected threats. Security analysts: if you’ve ever felt like your detection pipeline reacts too slowly or lacks context, this episode will give you actionable ways to redesign the work for speed and relevance. 🔗 Listen now → https://lnkd.in/eN-79PYe #DetectionEngineering #SecOps #SecurityIntelligence #Panther
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⏰ 𝟐𝟒 𝐡𝐨𝐮𝐫𝐬 𝐥𝐞𝐟𝐭! Tired of toggling between SIEM dashboards, IDEs, and spreadsheets just to investigate an alert? Tomorrow at 𝟏𝟏 𝐚.𝐦. 𝐏𝐓 / 𝟐 𝐩.𝐦. 𝐄𝐓, join experts from Block, Mattermost, Latacora and OpenTable with Jack Naglieri, Founder & CTO at Panther, as they unpack how the Model Context Protocol (MCP) is reshaping detections, data, and automation. What you’ll take away: • How to ask questions in plain English and hit the right systems — no hand-built integrations. • Real workflows from teams that eliminated context-switching and sped up investigations. • Where MCP fits alongside APIs and SOAR, and what early adopters learned. Seats are filling up fast — secure yours now 👇 🔗 https://lnkd.in/eHVS7v8d #MCP #SecOps #DetectionEngineering #CyberSecurity #Panther
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Thrilled to partner with Databricks as they advance with comprehensive support for Apache Iceberg v3! At Panther, we're leveraging these critical advancements to revolutionize how we handle security and application logs at scale. As our Chief Architect, Russell Leighton, shared: "Unity Catalog and Iceberg v3 unlock the power of semi-structured data through Variant. This enables interoperability and cost-effective, petabyte-scale log collection." A huge step forward for open, unified data architecture! Read the full blog for all the details: https://lnkd.in/gQpgpHQg
Databricks now supports Apache Iceberg v3, giving customers a unified and high-performance open data layer! Iceberg v3 brings key capabilities to all managed tables: • Deletion vectors for faster updates • Row-level lineage for row-level concurrency • Variant data type for flexible semi-structured data With Unity Catalog, teams can run governed Delta and Iceberg workloads on a single copy of data with full Databricks performance. https://lnkd.in/gcVkczQY
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How fast can your team get from zero to full visibility? Jumio onboarded all log sources in under a week, and started writing Python detections immediately. See how they streamlined onboarding and built high-fidelity alerts with Panther. 🔗 Read the full story → https://lnkd.in/eFH2C7E7 #CustomerStory #DetectionEngineering #SecOps #Panther