Noise Cancellation for Application Security

Our cloud-native application security solution eliminates noise so your team can focus on building.

Oxeye analyzes your code, container, cluster, cloud and their communications statically and at runtime to reduce false positives, prioritize vulnerabilities using data, and reduce wasted efforts

of companies globally say that the noise caused by false positives is an issue

The Problem with Noise in Appsec

A large part of the problem lies in the use of legacy scanning tools that never fully lived up to their promise. It is compounded by the fact that multiple tools are cobbled together (SAST, DAST, SCA, IAST) to try to solve a single challenge - application security.

Almost a third of companies complain that correlating and combining this disparate data impacts their ability to detect vulnerabilities efficiently, adding to the noise.

Legacy Tools on Cloud Native - Amplifying The Noise

The advent of cloud native applications - distributed microservices that use containers and Kubernetes - means that vulnerabilities have fundamentally changed too. In monolithic applications, vulnerabilities start and end in the same piece of code. In cloud native applications, vulnerabilities stretch over multiple components and multiple infrastructure layers, and the prioritization and understanding of the criticality of vulnerabilities are much more complex.

Using legacy tools on cloud native applications results in the noise of false positives being amplified. This is due to:

Scanning the code across individual microservices multiple times

Packages and configuration settings in the testing/staging environment may look very different from the dev environment. This is one of the downsides of pushing security too far left

Legacy Tools on Cloud Native -
An Eerie Silence

More importantly, legacy tools can miss potentially critical vulnerabilities altogether because the legacy tools have no way of traversing the various layers and components that constitute cloud native applications to see what's really happening across these layers. These false negatives are the scary silence that everyone should be concerned about.

How Legacy AST Tools Fail to Secure Cloud Native Applications

Application Security for Cloud Native

Cloud native architecture demands a new approach to application security. Modern application security tools must assess application vulnerabilities by looking holistically at all the components and the underlying infrastructure, instead of merely scanning and analyzing individual blocks of code.

Introducing Oxeye - Built from the Ground Up for Cloud Native

Oxeye was developed to address the unique architecture of cloud native applications, and combines static analysis with runtime flow tracing and infrastructure analysis. Using this multilayered approach, we provide a contextual analysis of vulnerabilities, and prioritize them based on their severity. For greater insights, we report whether third party packages are loaded or not, show infrastructure configuration, and graphically show users the vulnerable flow from the internet to a particular line of code, for quicker remediation. With Oxeye, false positives, and false negatives, become a thing of the past.

Multilayered, contextual risk assessment - How Oxeye is different from existing ASTs

Installation generally takes less than 5 minutes, and does not require changes to the code or the deployment of any software packages. All that’s required is the deployment of a container within your environment. Once running, Oxeye will automatically scan the environment and provide all of the analysis on its own.

95% of digital workloads are predicted to be cloud-native by 2025.

In order to fully realize the benefits of cloud native, which is a key driver of digital transformation, the problems of false positives and false negatives have to be addressed. Oxeye provides a way for companies to confidently move into the era of cloud native by addressing its unique application security needs.