Panther

Securely monitor Snowflake data? ?? Believe it! With our first of its kind Snowflake integration security teams can detect suspicious behavior, monitor privileged access, and identify potential data breaches using streaming analysis. ?? Join our April 10th webinar to learn how Launch Darkly is using Panther to protect their business-critical data in Snowflake with insights from industry leaders at LaunchDarkly, Snowflake, and Panther. Our panelists will share how Panther's native integration with Snowflake audit logging directly bridges a gap in security monitoring and simplifies what has historically been a complex, manual process. ??? Then they’ll take you through a demo on how to detect data exfiltration using a multi-step correlation rule based on documented attacker techniques. Followed by a live Q&A, this is one you won’t want to miss! Link in comments. #SecurityEngineering #CloudSecurity #DataSecurity #ThreatDetectionAndResponse #DetectionEngineering #DetectionAsCode

?? Defend Your Snowflake Data Lake with Panther ?? Your organization leverages Snowflake for mission-critical business intelligence—from storing financial records and sensitive customer data to valuable AI training sets. So, how are you securing it? ?? If the answer is “I’m not sure” or “with difficulty,” don’t worry, we’re here to help. Introducing the first security monitoring integration for Snowflake with streaming log analysis, delivering: ? Accelerated Response – Get alerts for suspicious activity like logins without MFA, enabling immediate investigation of potential security threats before they escalate. ? Reduced False Positives – Create signals to track security-relevant events like user logins. Then, build signals into high-fidelity correlation rules that identify attacks like brute force attempts. ? Full Visibility, Without the Complexity – Normalize and centralize all Snowflake audit logs for easier cross-system correlation and faster incident response, all while eliminating custom ingestion pipelines. Ready for complete control over your data security?? ?? Learn more at the link in the comments https://lnkd.in/gc5jSz89 #SecurityEngineering #CloudSecurity #DataSecurity #ThreatDetectionAndResponse #DetectionEngineering #DetectionAsCode

?? Defend Your Snowflake Data Lake with Panther ?? Your organization leverages Snowflake for mission-critical business intelligence—from storing financial records and sensitive customer data to valuable AI training sets. So, how are you securing it? ?? If the answer is “I’m not sure” or “with difficulty,” don’t worry, we’re here to help. Introducing the first security monitoring integration for Snowflake with streaming log analysis, delivering: ? Accelerated Response – Get alerts for suspicious activity like logins without MFA, enabling immediate investigation of potential security threats before they escalate. ? Reduced False Positives – Create signals to track security-relevant events like user logins. Then, build signals into high-fidelity correlation rules that identify attacks like brute force attempts. ? Full Visibility, Without the Complexity – Normalize and centralize all Snowflake audit logs for easier cross-system correlation and faster incident response, all while eliminating custom ingestion pipelines. Ready for complete control over your data security?? ?? Learn more at the link in the comments https://lnkd.in/gc5jSz89 #SecurityEngineering #CloudSecurity #DataSecurity #ThreatDetectionAndResponse #DetectionEngineering #DetectionAsCode

Would you trust a security analyst who confidently presents false information as fact? Then why trust AI with your security operations? ?? In this special episode of Detection at Scale, Panther CISO Matt Jezorek talks through his optimistic skepticism on AI as a security tool—it has potential, but for now, it’s not fully trustworthy. Matt shares a revealing example: when he asked #ClaudeAI about himself, the AI confidently fabricated an entire background in JavaScript development—complete with open-source contributions that never existed. This hallucination perfectly illustrates his concern about AI's limitations in security contexts where accuracy is non-negotiable. While acknowledging AI's potential to surface relevant information, Matt emphasizes the investigatory nature of SOC work that requires human intuition and persistent digging to uncover threats—qualities AI simply can't replicate. ?? The real question security leaders should ask isn't if #AI can help, but how many mistakes we can tolerate before losing trust in automated systems altogether. Tune in to the full episode ?? https://lnkd.in/gninCREu #DetectionAtScale #Cybersecurity #DetectionAndResponse #CloudSecurity #SecurityMonitoring #DetectionEngineering #SecurityEngineering Hosted by: Jack Naglieri.

We're your favorite security company's favorite security company. You don't just have to take our word for it, though! Learn how?Filip Stojkovski, a Staff Security Engineer at Snyk, uses Panther to increase coverage and decrease alert volume. "My favorite part about Panther is how fast you can onboard any log source." "By figuring out the baseline of what's normal versus abnormal behavior, we reduced our alert volume by around 70%." Read the full case study - link in comments!

How do you build a threat model for your organization? In season two of the Detection at Scale podcast, Jason Craig, Director - Threat Detection & Response at Remitly, advised starting with understanding what you do and what you have that might be valuable to an attacker, then protecting the pathways to those assets. Check out the full episode here ?? https://lnkd.in/gjxNYUDe #DetectionatScale #Cybersecurity #DetectionEngineering #SecurityEngineering Hosted by: Jack Naglieri

A little over 10 years ago, while working at a large retail company, we enabled a new threat intelligence feed. Almost immediately, it flooded our SecOps team with alerts—highlighting significant issues with alert quality and data quality. At its peak, we received over 16 million alerts per day (thankfully, we didn't directly send these to people!). Realistically, accounting for breaks, deeper analysis, and documentation, someone might effectively handle one alert every 5-10 minutes So to handle this with people we'd need around 166,667 people. For perspective, that's nearly the size of the entire ??.??. ???????????? ?????????? (~180,000 people). A decade later, despite all our advancements, SecOps teams still consistently worry about alert overload and overwhelming their most valuable asset—the humans themselves. It doesn't seem to be getting better. We shouldn't hesitate to deploy new detection methods, but "turning them on and dealing with noise by tuning later" isn't the right approach. Remember, garbage in, garbage out: if we feed poor-quality alerts into our teams, we'll only get ineffective outcomes. Instead, let's first ensure we're generating trustworthy, actionable alerts derived from multiple high-quality signals. Then, we can meaningfully apply automation and AI—not to filter through noise, but to amplify and empower human effectiveness. How have you seen security operations change in the last 10 ish years? #Cybersecurity #SOC #Automation #ThreatIntelligence #InfoSec #AI

The proof is in the pudding. Request a personalized demo to see how we can help you like we helped Spring Health: https://lnkd.in/gqB9zwgD

Panther's forecast is looking cold for next week ?? ?? Any guesses for what's coming?

Oh you wanted to tour the Panther + Zscaler integration?? ?? Here you go! https://lnkd.in/gvxkFedi ?? You'll also get an accidental sneak peek of our coming AI capabilities!