Detection & Response for the Cloud
Automatically baseline your cloud activities, network & application flows & stay ahead of rapidly evolving cloud threats with Upwind - empowering you to accelerate investigations and respond to threats in seconds.
Advanced Preparation Against Threats
Upwind’s real-time threat detection capabilities are powered by our high-performance Upwind eBPF sensor, which monitors all traffic in real time at the process, packet, and system call levels, as well as deep analysis of cloud logs such as CloudTrail, Kubernetes audit logs and more - providing comprehensive runtime detection.
Our approach combines real-time sensor insights with comprehensive log and events analysis across critical cloud data sources, ensuring unmatched depth and breadth of visibility. This multi-layered approach ensures deep visibility into even the most complex hybrid cloud environments
Upwind Cloud Detection & Response
Prepare
Detect
Investigate
Respond
Real-time Monitoring of Layers 3, 4 & 7 & Cloud Logs
Observe & Analyze Cloud Baseline Models
Create Custom
Policies
Third-Party & Upwind
Threat Intelligence
Identify Cloud Baseline
Deviations & Anomalies
Real-time Detections
by Upwind eBPF Sensor
Root-cause analysis
with CI/CD context
AI-Generated
Issue Stories
Orbital View to
Visualize ‘Blast Radius’
Cloud Native
Response Actions
Workload Level
Forensics & Snapshots
View a Complete
Audit Trail
Deep Situational Awareness
In addition to eBPF-based sensor telemetry, Upwind leverages multiple log sources to build a complete picture, including:
- AWS and Google Cloud CloudTrail for tracking API calls, changes, and user activities
- Cloud infrastructure network topology. APIs and sensitive data flows discovery
- Container audit logs for user activity and configurations and control plane changes
- CI/CD Events from Git repositories and Continuous Delivery tools to understand who made changes and when they made them
Detect Advanced Threats with Cloud Baselines
Upwind’s threat detection capabilities go beyond traditional threat detection methods with Upwind Cloud Baselines, which are created by continuously monitoring your application’s activity over hours, days and weeks to build sophisticated machine-learning (ML) models.
Cloud Baselines enable Upwind to distinguish “normal” from “abnormal” activity. This allows Upwind to rapidly detect advanced threats, alerting you to anomalies as soon as they appear in your environment.
Reduce Mean Time to Response (MTTR)
Upwind empowers teams to improve the MTTR by up to 7x with cloud-native response actions to stop threats.
Workload-level forensics give a deep, contextual analysis of events leading up to a security incident and Upwind’s complete audit trail lists all of the events leading up to a security incident, including SSH monitoring and cloud events.
Conduct Investigations 10x Faster
Upwind empowers teams to conduct investigations 10x faster with key capabilities including:
- CI/CD context to identify the specific developer and PR that lead to a threat finding
- Automated remediation ticketing
- Upwind’s orbital view of resource connections and behaviors determines the potential “blast radius” of a threat
- AI-powered threat stories to connect the dots between seemingly unrelated events leading up to a security incident, providing automated incident timelines.
Next-Gen Detection & Response for the Cloud
Automatically recognize abnormal activities & stay ahead of rapidly evolving cloud threats with Upwind - empowering you to accelerate investigations and respond to threats in seconds.