Cybersecurity
Panther is a cloud-native SIEM platform that enables real-time threat detection and response at a petabyte scale. It offers detection-as-code, correlation rules, and AI-powered insights for AWS-first security teams.
Automated Alert Triage and Escalation
Mindflow orchestrates Panther's alerting operations with ticketing systems. High-severity alerts trigger workflows that create tickets, assign security analysts and initiate response procedures based on alert details.
Cloud Account Security Posture Management
Mindflow automates Panther's cloud account operations to monitor security configurations continuously. It triggers compliance checks, remediates misconfigurations, and updates cloud account integrations when deploying new resources.
Log Source Integration at Scale
For enterprises with numerous endpoints, Mindflow streamlines Panther's log source operations. It automates creating and updating S3 log source integrations as new devices or applications are added to the network, ensuring comprehensive log coverage.
Adaptive Data Lake Query and Analysis
Mindflow leverages Panther's data lake operations to execute periodic security queries. Based on the results, it adjusts query parameters, cancels resource-intensive operations, and initiates targeted searches. This process feeds into automated reporting and dashboard updates for security teams.
Panther: Cloud-Native SIEM
Panther is a cloud-native Security Information and Event Management (SIEM) platform for modern security teams. It processes and analyzes security data at a petabyte scale, enabling rapid threat detection and response in cloud environments.
Panther transforms cloud noise into actionable security insights. It offers real-time alerting, high-scale correlation, and cost-efficient high-value AWS security data ingestion. The platform reduces alert fatigue by combining multiple signals into actionable alerts, enhancing SecOps' efficiency and coverage.
Who uses Panther SIEM?
AWS-first security teams, cloud-centric enterprises, and SecOps professionals rely on Panther. It serves organizations seeking to augment or replace legacy SIEM systems with a solution tailored for cloud environments.
Panther Features
Detection-as-Code: Panther employs a code-first approach to detections. Security teams can automate, test, and quality-assure their detections, maximizing efficiency and scalability. This method integrates version control, peer reviews, and CI/CD pipelines.
Data Ingestion and Normalization: The platform ingests and normalizes high-volume security data from various sources, including AWS services like S3, CloudTrail, VPCFlow, and GuardDuty. It parses, filters, and transforms petabytes of data to enable comprehensive threat detection.
Correlation Rules: Panther reduces noise by chaining multiple events into single, contextualized alerts. Teams can define criteria based on frequency, timespan, and actor roles to detect sophisticated threat patterns across the cloud environment.
AI-Powered Analysis: Leveraging Amazon Bedrock, Panther provides AI interpretations of security issues, offering essential context for rapid risk assessment and understanding.
Security Data Lake: The platform includes a flexible data lake architecture for streamlined investigations. This feature allows teams to explore event data, investigate suspicious activity, and fine-tune detections.
Serverless Infrastructure: Panther operates on zero-ops, serverless infrastructure. This design eliminates server maintenance, reduces costs, and enables elastic scaling without manual SIEM administration.
