Overview
IAM data lives across directories, HR systems, IAM/PAM tools and cloud platforms. Risky access patterns and toxic combinations hide in plain sight, but teams lack time and tooling to analyse them systematically. This pilot service connects to your identity sources, runs defined analyses combining rules-based logic with statistical / ML-style pattern spotting, and delivers a data-driven view of high-risk accounts, over-privileged roles and anomalous access patterns with actionable remediation recommendations.
Typical Timeline: 4 weeks
Key Benefits
- Data-driven view of high-risk access patterns
- Prioritised cleanup opportunities with effort estimates
- Reusable analysis approach for ongoing use
- Practical AI/automation recommendations
- Low-risk pilot format for exploring AI in IAM
Ideal For
- Security leaders wanting to do something with AI in IAM without a huge project
- Organizations seeking to automate IAM operations
- Companies with complex identity environments needing intelligent analytics
- Organizations evaluating AI-powered IAM solutions
- Businesses needing to surface hidden access risks
Key Deliverables
- Data-driven view of high-risk accounts, over-privileged roles and anomalous access patterns for a defined scope
- Shortlist of the most impactful cleanup and remediation opportunities, with estimated effort and risk reduction
- Reusable analysis approach that can be repeated or extended internally or via the LinuxGuard platform
- Practical recommendations on where AI/automation can realistically augment your current IAM programme