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AI-driven security architecture and engineering for scalable, secure-by-design systems

The AXIS Capital security architecture and engineering team wanted to embed security intelligence directly into application and cloud design, minimizing developer friction and reducing time spent managing alerts and backlogs. Traditional manual reviews could not scale to meet the demands of complex cloud environments. Solution The team applied AI to analyse code and cloud configurations, using static application security testing and cloud security posture management capabilities. Uninterrupted scanning within continuous integration and continuous deployment pipelines enables proactive risk assessment, identifying and addressing vulnerabilities before code reaches production. AI prioritized the risks based on exploitability and business impact, recommending actionable remediation. AI-generated guidance and fixes were delivered within existing workflows, accelerating remediation and reducing developer friction. Teams also use AI to correlate data across cloud environments to identify architectural weaknesses and surface misconfigurations that are difficult to detect manually. Through ongoing cloud security posture management, AI detects misconfigurations in real-time.

Impact / Outcome
This approach reduced time spent managing alerts and backlogs, freeing teams to focus on designing resilient systems and ensuring that security measures can be scaled without affecting speed of delivery and business development. It also accelerated response times, reduced remediation costs and strengthened overall cloud while maintaining engineering productivity
Key Metrics
reduced time spent managing alerts and backlogs, freeing teams to focus on designing resilient systems
Locations
North America, Bermuda
Sector
Financial services
Year published
04 May 2026
Organization involved
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AXIS Capital