SCA tools surface thousands of vulnerabilities, but many are not really exploitable. Users are looking for tools that can provide context, priority, and evidence that a CVE actually affects the risk posture of their application.
We integrate with any SCA platform and enrich its findings with runtime usage insights to help filter and prioritize vulnerability alerts.
Helios provides the full end-to-end applicative context to help analyze, mitigate, and contain vulnerabilities.
Is the package actually deployed? Is it loaded and used? Prioritize based on the actual risk.
See the actual list of 3rd party dependencies that are available and used at runtime. No false positives.
We provide the following forensics:
Helios is deployed using a single Kubernetes configuration update command.
Alternatively, users can deploy Helios with one click using AWS EKS add-ons.
We work in the background to collect a minimal amount of data and once the data is gathered the collection stops.
We seamlessly integrate into Kubernetes clusters, leveraging various low-friction data collection techniques (at both the kernel and application levels) to answer the following questions:
Is the vulnerability publicly facing?
Is it deployed?
Is it loaded?
Is the function called?
Teams spend too much time on false positives and manual investigations to determine the potential impact and severity of vulnerabilities.
A team of runtime experts. We started off applying observability to monitoring and now we’re leveraging our know-how and expanding our offering to the security domain.
We provide security teams with actionable runtime insights that significantly reduce alert fatigue by enabling real-time visibility into app behavior.
We seamlessly integrate into Kubernetes clusters, leveraging various low-friction data collection techniques, enabling DevSecOps teams to focus on meeting security and compliance objectives.