Application on-boarding
Challenges
Complex, fragmented onboarding landscape
- Heterogeneous systems and access models
- Inconsistent data formats and structures
- Complex, varied integration requirements
- Abstract system complexity behind simple workflows
- Standardize onboarding with guided knowledge workers
- Accelerate integration with intuitive, adaptive processes
Solution
Seamless onboarding with knowledge workers
Autonomous and non-deterministic workflows
Challenges
Static models fail in dynamic, evolving IAM environments
- Static workflows cannot predict dynamic identity and access changes
- Risk evaluation must adapt continuously based on real-time context
- Predefined policies miss complex, unforeseen access scenarios
- Knowledge workers autonomously monitor and react to access and identity changes
- Agents dynamically evaluate risk and trigger the right policies based on current state
- Continuous learning enables handling of non-deterministic workflows without static coding
Solution
Adaptive, autonomous knowledge workers drive real-time IAM decisions.
Identity Schema Design
Challenges
Balancing diversity, consistency, and scalability in identity schemas
- Managing diverse attribute requirements across systems and business units
- Balancing extensibility, performance, and governance in schema definitions
- Ensuring consistency and scalability as new applications and user types are added
- Managing diverse attribute requirements across systems and business units
- Balancing extensibility, performance, and governance in schema definitions
- Ensuring consistency and scalability as new applications and user types are added
Solution
Scalable, governed, and adaptive schema management
Access Reviews
Challenges
Manual, context-limited, and delayed access reviews
- Too many users and entitlements to review manually
- Lack of access context for accurate decisions
- Manual, periodic reviews miss real-time changes
- Continuously monitor and evaluate access changes
- Trigger targeted access reviews dynamically based on risk
- Recommend intelligent review actions to reviewers autonomously