Lacework is a cloud security platform using machine learning to detect threats and anomalies in cloud environments, containers, and Kubernetes. Unlike signature-based security tools, Lacework builds behavioral baselines and alerts on deviations — detecting unknown attacks that signature tools miss. It provides CSPM, CWPP, vulnerability management, and compliance reporting across AWS, Azure, GCP, and Kubernetes in one agent-based platform.
Lacework
Cloud-native security and compliance platform
Best for: Enterprise cloud teams wanting ML-based threat detection across cloud, containers, and Kubernetes
- Free trial
4.3/5 ratingEditorial score 81/100lacework.com
The editorial note
What to know about Lacework
Is it right for you?
Who Lacework suits
Choose it if
- Enterprise cloud teams wanting ML-based threat detection across cloud, containers, and Kubernetes
Look elsewhere if
- Small companies with simple cloud infrastructure (Wiz or Snyk is simpler)
What you get
Key features
- Behavioral ML detection
- CSPM
- Container security
- Vulnerability management
- Compliance reporting
- Alert correlation
- API security
Works with
Integrations7
The trade-off
Pros and cons
Pros
- ML behavioral detection
- Unknown attack detection
- Container security
- Compliance automation
- Single agent
- Low false positives
Cons
- Expensive
- Complex deployment
- Enterprise only
Quick read
At a glance
- Category
- Cybersecurity & Privacy
- Pricing model
- Subscription
- Free plan
- Not listed
- Free trial
- Available
- Website
- lacework.com
The verdict
Our take on Lacework
Best ML-based cloud security for enterprises. Lacework's behavioral analysis detects unknown threats and reduces alert fatigue compared to rule-based security tools.
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