Creating a rule to catch each threat doesn’t scale
What if you could use anomaly-based detection to identify threats, reducing the need for custom rules and policy tuning?
Effective threat detection that makes rules optional
Get the visibility and context you need to defend your cloud environments with autonomous machine learning.
Detecting threats shouldn’t take so long
More automation. Less tuning and alerts. It’s time for a solution that reduces the noise and helps you respond faster.
Signature-based tools create a lot of noise
What if you could use machine learning and behavioral analysis to reduce false positives and catch new threats?
Security teams are overworked and understaffed
What if you could automate threat detection so your team could focus on what matters most?
Quickly find the signal in the noise
With Lacework, use anomaly-based detection to surface abnormal behavior that signals threats for fewer rules and false positives.
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From signature- to anomaly-based detection
Go beyond threat feeds to uncover signals that indicate compromise to detect both known and unknown threats.
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From burnout to balance
Using automation and machine learning means fewer hours spent on tuning policies and writing rules.
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From chaos to clarity
A 90% reduction in alerts and false positives means you can focus on the threats that pose the biggest risk to your business.
Uncover threats faster with automation
We use automation and machine learning to detect anomalies that signal malicious activity for cloud accounts and workloads deployed on AWS, Google Cloud, and Azure.
Collect
- Get complete cloud account asset inventory via agentless approach.
- Get data on all cloud workloads via an agent.
- Support AWS, Azure, Google Cloud, and Kubernetes, plus hybrid environments.
Detect
- Continuously monitor users, apps, processes, and network behavior.
- Uncover unknown threats like abnormal logins and escalation of privileges with patented Polygraph anomaly-based approach.
- Identify malware and other known threats based on reputation score for files, DNS, and more.
- Get comprehensive file integrity monitoring (FIM) that detects changes in metadata.
Inform
- Reduce noise and surface only the most critical events.
- Provide context-rich alerts and visualizations that give you the information necessary to respond rapidly.
- Accelerate action through integration with ticketing, messaging, SIEM, and workflow applications.
"Lacework sees everything. We are aware of any change in behavior, and we can immediately assess a change to see if it’s legit or a threat."
Matthew Zeier
Former Senior Manager of Technical Operations, Wavefront - a VMware company
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Ready to see it in action?
Spot unknowns sooner and continuously watch for signs of compromise. Take us on a test drive to see for yourself.