Adoption of cloud, hybrid and cloud native applications generate more complexity and scale issues that legacy approaches can't begin to address.
Without enough environmental context, security teams struggle to measure and prioritize the risk associated with findings.
Duplicate alerts from multiple tools compounds the challenge for security teams to prioritize and assign remediation ownership.
60% of the breaches that occur are due to a security alert that the organization knew about, but struggled to map stakeholder responsibility for the fix.
Aggregate, normalize, and correlate findings using AI to generate information from noise
Prioritize findings automatically based on severity, asset profiling and environmental factors, with a configurable risk model
Scale remediation for findings with a common fix for multiple issues through automated grouping and ticketing
Dig deeper on how Silk can help your organization reduce the findings volume by 50 to 1, and radically compress MTTR for prioritized findings.