Effective Threat Detection to Make Rules Optional | Lacework

Effective threat detection that makes rules optional

Get the visibility and context you need to defend your cloud environments with autonomous machine learning.

Business Challenges

Detecting threats shouldn’t take so long

More automation. Less tuning and alerts. It’s time for a threat detection solution that reduces the noise and helps you respond faster.

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Creating a rule to catch each threat doesn’t scale

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?

Signature-based tools create a lot of noise

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

Security teams are overworked and understaffed

What if you could automate threat detection so your team could focus on what matters most?

White Paper

Defend Against Ransomware in the Cloud with Lacework

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The Future of Cloud Security

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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.

  • From burnout to balance

    Using automation and machine learning means fewer hours spent on tuning policies and writing rules.

  • 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.

Our Approach

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.

Learn more about Data collection: Agentless and Agent


Learn more about Data collection: Agentless and Agent


  • 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.


  • 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.
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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.

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