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7-9 October, 2026
Prague, Czechia
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Important Note: Timing of sessions and room locations are subject to change.

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Friday October 9, 2026 11:55 - 12:35 CEST
Managing vulnerabilities across large fleets of container images remains a persistent challenge in cloud-native environments. In our platform, patching a single critical image often required several engineer-days of manual effort, creating remediation backlogs and compliance risk.
To address this, we built a self-healing vulnerability remediation pipeline using open source technologies across the container lifecycle. This session presents the architecture behind the system, including automated dependency updates with Dependabot, reproducible image rebuilds with DALEC, continuous OS-level patching using Project Copacetic, and deployment validation through staged rollout pipelines.
We will share the engineering decisions, trade-offs, and lessons learned while reducing remediation time from days to minutes and eliminating approximately 90% of manual patching effort. We will also discuss integrating an AI-assisted remediation agent for complex fixes and the safeguards used to validate and govern AI-generated changes in production environments.
Speakers
avatar for Priyanka Bettadapura

Priyanka Bettadapura

Senior Software Engineer, Microsoft
Priyanka Bettadapura is a Software Engineer at Microsoft focused on cloud-native security, platform engineering, and software supply chain resilience. Her work centers on automating vulnerability remediation for containerized workloads through reproducible builds, dependency management... Read More →
Friday October 9, 2026 11:55 - 12:35 CEST
Club E (Floor 1)

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