Lacework takes a data-first approach to cloud security. Rather than relying on static rules, the platform uses machine learning to build behavioral baselines across an organization’s entire cloud environment — then flags anything that deviates from normal.
The Polygraph Data Platform continuously monitors cloud configurations, workload activity, network traffic, and user behavior. When something anomalous happens — like a container suddenly making API calls it’s never made before — Lacework catches it without needing a pre-written rule.
The platform covers CSPM, CWPP, CIEM, and infrastructure-as-code scanning. It supports AWS, Azure, GCP, and Kubernetes. The agentless and agent-based options give teams flexibility depending on their workload types and compliance requirements.
Lacework raised $1.3 billion and was once valued at $8.3 billion, making it one of the most well-funded cloud security startups. The company’s anomaly detection engine processes billions of events daily, and its automated investigation workflows help lean security teams move fast without drowning in alerts.
