Lacework

Continuously improving security detection models based on historical threat patterns.

Monitor and secure API gateways for unauthorized access and injection attacks.

Discovery and monitoring of APIs for unauthorized access and suspicious activity patterns.

Review and optimization of IAM policies and access permissions for least privilege principles.

Role-based access control and team collaboration features for security operations.

Instant notifications for security events and compliance violations with customizable rules.

Machine learning-based analysis of user and entity behavior to detect anomalies.

Comprehensive audit logging and forensics for cloud API calls and resource changes.

Trigger automated security playbooks in ServiceNow, Palo Alto Networks Cortex XSOAR.

Unified security monitoring across AWS, Azure, Google Cloud, and on-premises environments.

Auto-remediation capabilities for common compliance violations and security misconfigurations.

Automated monitoring for compliance with CIS, PCI-DSS, HIPAA, SOC 2, and other standards.

Analysis of cloud infrastructure configuration against security best practices and compliance standards.

Runtime protection and image scanning for containerized applications and Kubernetes environments.

Identify unusual cloud spending patterns that may indicate security incidents.

Protection of sensitive data stored in cloud databases and data lakes.

Monitoring of database activity, access patterns, and potential insider threats.

Track and validate proper usage of encryption keys across cloud services.

Deep dive analysis tools for investigating security incidents and determining root cause.

Scan Terraform, CloudFormation, and other IaC templates for security misconfigurations.

Automated workflows and playbooks for faster incident investigation and remediation.

Forward security events to Splunk, ELK, Datadog, and other SIEM platforms.

Send security events to external systems via webhooks for custom workflow automation.

Integration with external threat feeds to enhance detection and contextualize findings.

Runtime protection, policy enforcement, and compliance monitoring for Kubernetes clusters.

Security monitoring for non-cloud legacy systems and on-premises infrastructure.

Visibility and control over network traffic, VPCs, and security group configurations.

Define and enforce security policies using code for consistent cloud governance.

Continuous scanning of container registries for vulnerable images before deployment.

Generate audit reports and evidence for regulatory compliance demonstrations.

Automated prioritization of security findings based on business context and exploitability.

Create and deploy custom detection rules based on specific organizational requirements.

Vulnerability and configuration assessment without requiring agents on resources.

Identification and remediation of exposed secrets in code repositories and cloud resources.

AI-powered detection of security threats and anomalous activities across cloud infrastructure.

Monitoring and protection of AWS Lambda, Azure Functions, and Google Cloud Functions.

Monitoring of software dependencies and third-party risks in the development pipeline.

Identify and alert on ransomware attack patterns and suspicious encryption activity.

Track and analyze user actions within cloud environments for insider threat detection.

Create custom security dashboards and metrics tailored to business requirements.

Continuous scanning and prioritization of vulnerabilities across containers and cloud resources.

Runtime protection for virtual machines, containers, and serverless functions.