Why ClearVector

Defending production environments

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The challenge

Defending production environments

The production environment is under attack while you're watching the corporate IT environment

Security teams focus efforts on corporate IT while adversaries focus on stealing customer data that lives in production - not on laptops. Your production environment contains your customers' data and drives revenue, yet most security spending focuses on corporate IT - laptops, email, and employee endpoints. While you're monitoring employee devices, adversaries are compromising your AWS or GCP environments, stealing data from S3 buckets, and stealing API keys from your third-party platforms. Production environments are fundamentally different from corporate IT: they're controlled by engineering, change constantly, and directly impact your customers. This gap between where security focuses (corporate) and where attacks happen (production) is why breaches continue despite massive security investments.

Corporate IT security tools can’t detect adversaries in the production environment

EDR agents and SIEMs built for corporate environments are built to detect specific indicators of compromise in corporate environments. These corporate IT solutions can't trace a stolen GitHub credential through a CI/CD pipeline to a compromised container in Kubernetes. They don't understand that a developer assuming 50 different AWS roles in 10 minutes is normal, but that same developer accessing a production S3 bucket at 3 AM isn't. These tools fragment activity across many different vendor alerts, forcing teams to review ten separate events instead of one coordinated attack. By the time you manually correlate across CloudTrail, GitHub audit logs, and container logs, the adversary has already stolen your data.

Corporate IT security tools negatively impact production environments

Traditional security tools designed for employee laptops impact production performance. These tools consume unpredictable CPU and memory, spike your AWS and GCP bills, and increase latency that can violate your SLAs with customers. Engineering and finance teams are apprehensive to adopt these security tools because any material or unpredictable performance hit translates to millions in additional COGS. You're forced to choose between security and keeping your production environment running - and keeping the business running always wins.

Our approach

What you gain from ClearVector

Purpose-built for production environments, not corporate IT

ClearVector was designed from day one for production environments, not retrofitted from a SIEM or traditional endpoint security. In addition to a unified view across everything connected to production, our eBPF sensor has predictable performance impact, and our platform understands cloud-native architectures like Lambda and Kubernetes, and we work within engineering workflows. We know that production environments are different - they're ephemeral, API-driven, and operate at line speed. That's why we built identity-driven security that actually works where your customer data lives.

Identity intelligence, not threat intelligence

ClearVector unifies activity from the cloud control plane, inside workloads, across SaaS applications like GitHub, and into the data plane itself. Our patented graph technology with 1B+ nodes automatically traces every action back to its originating identity - whether human, machine, or third-party. When a developer's stolen credentials move through GitHub to AWS to a container, we show you the complete picture in minutes, not through ten disconnected alerts and multiple consoles. This approach is needed because traditional solutions that rely on threat intelligence fail because every production environment is different, along with the realities of adversary infrastructure being tailored to each target environment.

Isolation without breaking production

Unlike corporate tools that automatically quarantine files or block network connections, ClearVector's isolation is designed for production realities. Our surgical, human-in-the-loop isolation stops the adversary while keeping your business running - for example, isolate compromised identities, Lambda functions, or S3 buckets. Everything is reversible with a single click once you've verified the activity.

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