Sysdig Sage, knows its cloud security threat onions
Sysdig is a “seasoned” player in the real-time cloud security arena.
As such, the firm has now launched an agentic cloud security platform powered by Sysdig’s autonomous AI agents, which are designed to analyse cloud environments (from end-to-end) and surface hidden business risks.
The company says that organisations using this service will be able to remediate “crucial threats” in minutes and deliver measurable improvements in their security posture.
Sysdig Sage is the company’s AI cloud security analyst service.
The technology is said to “ultimately understand context” from the entire business and so provide clear, contextual remediation recommendations.
According to Loris Degioanni, Sysdig founder and CTO, uncompromising cloud security is built on “great data and full context” today… and so, Sysdig Sage is meant to drive AI agents forward to conduct a semantic analysis of cloud infrastructure and workloads to uncover key application context, such as environment and asset types, business functions and customer resources.
Correlated context
This key data often goes uncovered by other tools and teams, which are inundated with information and alerts in the fast-paced world of the cloud. By correlating that context with deep runtime insights to understand what is actually running in production, organisations can better protect their most vulnerable and business-critical assets.
“Businesses waste thousands of hours manually triaging security issues, chasing false positives and debating what to fix – instead of just fixing it,” said Loris Degioanni, Sysdig Founder and CTO. “With our agentic cloud security, that changes. We’re transcending superficial AI solutions and replacing reactive guesswork with real-time intelligence that transforms the way teams protect their business. Powered by Agentic AI, Sysdig Sage isn’t just faster – it’s cloud security done right. It thinks, reasons and responds like a true teammate.”
Degioanni further states that uncompromising cloud security is built on great data and full context.
Powered by Sysdig Sage, AI agents conduct a semantic analysis of cloud infrastructure and workloads to uncover key application context, such as environment and asset types, business functions and customer resources.
Pinpointing production pains
This key data often goes uncovered by other tools and teams, which are inundated with information and alerts in the fast-paced world of the cloud. By correlating that context with deep runtime insights to understand what is actually running in production, organisations can better protect their most vulnerable and business-critical assets.
By harnessing agentic AI-powered semantic analysis within its cloud-native application protection platform (CNAPP), Sysdig’s approach deploys a collaborative team of specialised AI agents.
Each AI agent has its own job within the vulnerability management process:
- Automated analysis for critical risks in business context: AI agents autonomously analyse cloud environments to identify and assign meaning to otherwise raw technical cloud data using semantic analysis. Capturing a semantic understanding of environments and infrastructure enables Sysdig Sage to link cloud workloads to key business context, such as environment types, business functions, application types, customer resources, geographic regions and asset owners.
- Reduced exposure time to critical vulnerabilities: Having insight into key business context is only the beginning. AI agents evaluate this semantic data against key risk factors, like severity, in-use, exposure and exploitability. This filters out over 98% of low-risk noise and drives security teams toward the vulnerabilities that pose the most significant organisational risk using intelligent prioritisation. In essence, it reduces the burden on security teams, giving back more than 80 hours per week previously spent manually triaging and tediously prioritising risks.
- Actionable guidance and automation for faster, context-aware remediation: With a comprehensive understanding of business-critical risk, Sysdig Sage gathers intelligence and delivers context-driven remediation guidance. These recommendations help security teams maximise risk reduction with targeted, low-friction fixes. They bridge the gap between security and development teams by delivering a clear view of critical vulnerabilities in the business context. One-click batch ticket creation, ownership assignment and streamlined workflow automations mean organisations can remove risk faster and more efficiently.
- Board-ready risk progress reporting: Sysdig Sage provides visibility into organisational vulnerability trends, remediation progress and risk posture with audit-ready reporting. Not only do these reports give users key insights into security metrics and “must-fix” vulnerabilities, but they also open a path for clear feedback loops and risk assessments with executive- and board-level teams.
Sysdig insists that it is the only CNAPP that delivers end-to-end security powered by agentic AI.
It combines Sysdig Sage’s cloud security expertise with semantic analysis for business context to uncover hidden threats and guide fast, effective responses before they escalate.
Image: Premier Foods plc