Enabling a DevSecOps Culture - Lacework

Enabling a DevSecOps Culture

Network, storage, and compute resources must be in constant flux to adapt to business needs. At the same time, security roles are responsible for defining the functions that different users have within an ever-changing cloud. Lacework uses behavioral analytics to map activities, events, and behavior across your cloud environments to detect anomalies and potential threats, helping security professionals understand and protect their environments in the process.Lacework shifts security left and right to help software teams become more efficient and security teams can move beyond reactive security.

By observing changes and deviations in your containers, workloads, and cloud environments as they occur, Lacework provides high-fidelity alerts when anomalous activity is detected. Every alert is meaningful and contains data-rich information to help identify whether an organization is actually vulnerable to a particular threat.

With Lacework, security professionals, analysts, and investigators can quickly see:

  • The users, machines, and applications involved in an incident as well as the accounts, applications, or machines that were ‘patient zero’
  • The activities of entities involved in incidents compared to their peers
  • Alerts and risk scores related to specific incidents
  • The Polygraph view for alerts and incidents
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Cloud Security Informed By Big Data Analytics

Public clouds enable enterprises to implement infrastructure-as-code, which allows them to rapidly develop, test, and deploy services at scale. While this agility and flexibility provides many business and technological benefits, the cloud is also susceptible to new forms of threats and cyberattacks. Unfortunately, legacy security solutions are ill-equipped to handle these unique vulnerabilities, creating a need for new security tools.

Lacework takes a completely different approach to anomaly detection by collecting process, network, file, and user data to form a base model of normal infrastructure behavior. We then use sophisticated analytics and machine learning techniques to detect anomalies which may indicate ongoing threats.

The Lacework anomaly detection system can also be fine-tuned to reduce false positives, limiting noise and preventing alert fatigue

Cloud Security Thanks to the Power of Polygraph®

Lacework’s foundation is Polygraph, a deep temporal baseline that develops a dynamic behavioral and communication model of your services and infrastructure. The model understands natural hierarchies for processes, containers, pods, and machines and aggregates them to develop behavioral models.

A behavioral model is in some sense the essence of how a customer’s infrastructure operates. With this model, Polygraph monitors your infrastructure for activities that fall outside the model, continually updating its models as your data center behavior changes. With the Polygraph organizations can:

  • Pinpoint exactly how a file changed, detecting changes in content, metadata and whether the file was modified or simply appended
  • Extend information on executables, such as files created without a package installation, command lines used at launch, currently running processes (with users and network activity), and suspect versions
  • Expand file intelligence with integrated threat feeds from ReversingLabs’ library of five billion files
  • Scale their architecture with no added complexity or performance penalties
  • Protect log and configuration files against tampering

Detect and resolve anomalous changes in behavior across your workloads, containers, and IaaS accounts that represent a security risk or an IOC with Lacework’s comprehensive anomaly detection system for enterprise DevOps teams.

Lacework’s Kubernetes security solution provides comprehensive threat detection for dashboards, pods, management nodes, and clusters in addition to end-to-end security for public cloud infrastructure workloads, accounts, and containers.

With the rapid adoption of Kubernetes for application and infrastructure orchestration comes an increased risk of data exposure and other vulnerabilities throughout the application lifecycle. Without comprehensive threat detection capabilities, organizations could unwittingly grant unauthorized access to malicious actors looking to target Kubernetes clusters, applications, and customer data. Lacework’s Kubernetes security platform identifies the risks and threats for Kubernetes-deployed infrastructures, including publicly exposed and unsecured API servers and management consoles.

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