The challenge
The challenge
You can’t respond confidently if you can’t see who acted in production
Traditional tools surface signals, but not the originating identity behind them - slowing investigations, increasing uncertainty, and delaying response when seconds matter.
Inability to correlate activity that crosses multiple layers
Security teams are challenged by attacks that cross boundaries - for example, when stolen developer credentials are used in GitHub > modify code > trigger CI/CD pipelines > deploy backdoored containers > access non-public S3 buckets. Each tool (SIEM, CSPM, CWPP) only sees its piece, missing the complete attack chain. Teams discover breaches days or weeks later through indirect indicators.
Lack of identity attribution for activity
When suspicious activity occurs - like a new IAM role accessing sensitive data or unusual API calls from Lambda functions - teams can't easily determine who's actually responsible. The team starts with API calls and service roles but can't quickly trace back to the human identity, third-party vendor, or compromised credential that initiated the activity.
Too slow to stop the adversary
Organizations grant powerful, temporary access to thousands of ephemeral identities - Lambda execution roles that exist for minutes, third-party vendor sessions that span hours or months, CI/CD tokens that rotate daily, and auto-scaling service accounts that appear and vanish with workload demands. These identities often have production-write permissions, cross-account access, or the ability to steal data if compromised.
The solution
See who did what in seconds
ClearVector connects actions to identities across your production environment, enabling faster triage and confident response.
Unified identity timeline
All activity across your environment appears on a single timeline tied to identities - for example, AWS API calls, GCP container activity, Lambda executions, and S3 access patterns are automatically correlated, eliminating gaps between siloed security tools.
Complete identity attribution and context
Every action is automatically traced to the originating identity - whether it's a developer, machine account, or third-party vendor. See the complete chain, for example: "GitHub user 'john' > approved PR > triggered CI/CD role > assumed role in AWS > modified Lambda > accessed customer database."
Detect the adversary in seconds
ClearVector detects the adversary within 30 seconds to 2 minutes across your entire production environment, such as the cloud control plane, inside workloads, containers, GitHub, and S3 buckets - surfacing risky activity immediately in natural language like "Developer 'alice' approved GitHub PR that deployed Bitcoin mining software to production."
Identity-driven graph architecture built for scale
ClearVector's patented graph technology maps all activity to identities. Our commercial graph contains billions of nodes and edges that connect humans, machines, and third-parties across AWS, GCP, GitHub, and containers.
Speed
Realtime processing architecture detects and surfaces threats in 30 seconds to 2 minutes from occurrence, with graph traversal completing in under 400ms even across trillions of events.
Customizable for your environment
ClearVector's recommendation engine automatically learns about each identity in your specific environment and allows one-click customization of detection profiles without writing rules or queries.
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