Cloud threats evolve in minutes, not hours, and for many security teams, that pace is unsustainable without intelligent automation. Sysdig’s full integration of its AI analyst,
Sysdig Sage, into its
CNAPP (cloud-native application protection platform) is designed to address that challenge directly. Sage now supports every stage of the cloud security lifecycle, helping teams move faster and focus on what matters.
The update isn’t just about speed but also about clarity. With Sage, security teams can turn plain-language questions into targeted risk insights, automate ticket creation, and receive guided remediation steps tailored to their environment.
Scaling Cloud Security for MSSPs and Multi-Tenant Environments
Managing alerts across multiple customers and complex infrastructures can stretch MSSPs and security teams thin. According to
Emanuela Zaccone, Sysdig’s Product Manager for AI for Cybersecurity, Sage is designed to shift that balance.
“With Sysdig Sage integrated across Sysdig’s CNAPP, MSSPs and security teams gain access to AI assistance that acts as a force multiplier, removing time-consuming manual triage and prioritization of security risks and speeding response,” Zaccone explains.
“In large, complex multi-tenant environments with high alert volume, Sysdig Sage is a game-changer. It helps teams perform cloud inventory and risk queries using natural language, and generates clear, easy-to-follow strategies for addressing known vulnerabilities and exposures.”
The outcome? MSSPs can scale their impact across client environments, without increasing staff or slowing response times.
Translating AI Insights into Human Actions
As threat actors use AI to move faster, it’s critical that detection systems remain understandable to human operators. Zaccone emphasizes that Sage is built with human accessibility in mind.
“Sysdig Sage is equipped to explain the nature of detected events, triggered detection rules, and event context, such as cloud, region, user, cluster, and container, using natural language,” she says.
“It helps users understand what’s wrong, why it matters, and what they should do next, making cloud security more accessible and effective.”
By guiding users through an incident’s context and implications, Sage supports both junior analysts and seasoned engineers, reducing the learning curve and helping teams make decisions with confidence.
Driving Measurable Gains in Efficiency
With more than half of Sysdig’s customers already using Sage, early results show that the AI analyst is more than a productivity booster, it’s altering how teams engage with security data.
“Organizations are reducing the mean time to response by 76% and cutting daily alerts by 99%, turning thousands of notifications into a handful of prioritized actions,” Zaccone shares.
“These early results show that AI-driven security isn’t just faster, it’s transformative.”
Built-In Support from Detection to Remediation
Sage is now tightly embedded into the Sysdig CNAPP, bringing visibility across build, deploy, and runtime environments. Teams can ask natural-language questions like, “Which workloads have critical vulnerabilities and are publicly exposed?” and receive structured, contextual answers without building queries from scratch.
It also supports automated workflows by suggesting remediations, assigning ownership, and integrating with tools like Jira. That means Sage doesn’t just highlight problems, it helps solve them.
A Practical Layer for Modern Cloud Defense
With cloud environments scaling and threats evolving, security teams need tools that simplify decision-making without reducing effectiveness. Sysdig Sage delivers that by embedding AI throughout the security workflow, surfacing real risk, providing guidance, and helping teams respond faster without increasing overhead.
For MSSPs and enterprises alike, it’s a practical step toward making cloud security more responsive, understandable, and aligned with how modern teams operate.
