Edgewise analyzes and visualizes application topology and dependencies, provides recommended defensive measures, and quantifies the risk exposure and impact of applying controls. Operations teams can make more informed decisions around which controls to apply. DevOps and DevSecOps teams now have a collaborative understanding of the risk impact of security controls and how that evolves over time.
Edgewise “policy compression” methods use machine learning to automate definition of an optimal policy set using orders of magnitude fewer rules. This lets you define adaptive access controls that enforce “least privilege” without manually defining and maintaining thousands of policies.
Edgewise’s Trusted Application Networking product protects business-critical infrastructure without changing the application or the network infrastructure that supports it. Edgewise requires no code changes, and introduces no VPNs, proxies or overlays, making deployment much simpler.
Edgewise’s code-free integration with security and analytics tools gives DevSecOps and DevOps teams the context they need to validate Zero Trust controls, and recommend changes to developers with a single mouse click. Edgewise also incorporates a rich API set to automate and integrate policy creation and validation into the CI/CD pipeline.
Apply adaptive and simplified policies to allow only verified workloads to communicate over approved pathways. Never trust, always verify.
Identify data stores and map communication pathways to understand your security risk. Prioritize protection based on risk of compromise.
Enable DevOps and SREs to build and deploy software with more security and with fewer disruptions to the SDLC. Machine-learned policy creation and enforcement allows auto-scaling in even the most elastic cloud environment.