Address Security Early in the Software Development Life Cycle

Identifying Risks at Buildtime

Lacework’s approach uses automation and unsupervised machine learning to provide buildtime threat defense. Security teams are able to deploy the Lacework agent across multiple cloud platforms, within application orchestration environments like Docker and Kubernetes, and even in hybrid workloads. As a SaaS service, organizations are able to review historical event data across their infrastructure to understand where vulnerabilities are present and address areas of risk.

Lacework’s approach uses automation and unsupervised machine learning. Security teams are able to deploy the Lacework agent across multiple cloud platforms, within application orchestration environments like Docker and Kubernetes, and even in hybrid workloads. As a SaaS service, organizations are able to review historical event data across their infrastructure to understand where vulnerabilities are present and address areas of risk.

In a rapidly-changing deployment environment, traditional security rules are stale as soon as they are deployed and new attacks are often missed because they are not reflected in existing rules. Lacework’s automated approach uses machine learning and historical data to improve threat defense and provide the following benefits:

• No Missed Events: Lacework will always alert you to new activity so that you can investigate any potentially malicious behavior within your environment
• Low Alert Noise: Lacework will only alert you to what is new or anomalous, preventing alert fatigue
• Simple Operations and Maintenance: Automated workload detection means no writing and maintaining error-prone rules. With Lacework you will not need to constantly maintain rules to reflect new and emerging threats, allowing you to focus on securing your environment

Cloud Security at Scale and at the Speed of Business

The modern cloud infrastructure allows organizations to deploy, scale, and configure their infrastructure faster than ever. The ability to automate and operate at DevOps speed poses a challenge to traditional security approaches. Lacework’s approach to runtime threat defense is to automate the detection of threats and anomalies and provide human-understandable investigative insights. Lacework supports threat defense for public clouds such as AWS, GCP, Azure, and also supports computer hosts and containers.

The Power of Polygraph^®

Lacework’s foundation is it’s patented Polygraph technology, a deep temporal baseline which we present to users as a set of behavioral maps. With the complexity and volume of a modern data center, Polygraph employs a baseline, zero-touch approach without leaving any blank spaces for attackers to exploit.