Introducing Rae: Agentic AI Built for Identity and Access Management

Identity and Access Management is no longer a back office function. It is a primary security control, an audit requirement, and a daily operational challenge.
At the same time, IAM teams are being asked to manage more identities, more applications, more risk, and more scrutiny with fewer experienced practitioners.
That gap is exactly why we built Rae.
The Reality Facing IAM Teams Today
Modern organizations are dealing with an identity environment that changes constantly.
Human users, service accounts, APIs, and AI agents all require access. New SaaS and cloud applications appear weekly. Regulations and audits demand clear answers about who has access to what and why. Identity-based threats continue to rise.
Most IAM tools are still reactive. They surface alerts and dashboards, but they rely on human expertise to interpret risk, write policies, and take action. That expertise is increasingly hard to find and harder to scale.
IAM teams are overloaded, not under-informed.
Why YeshID Took a Different Approach
YeshID was built as an authoritative IAM infrastructure layer.
We maintain a continuously updated source of truth for identities, applications, policies, roles, entitlements, and access changes. That foundation is what allows IAM to be managed as a system, not a collection of disconnected tools.
Rae is built natively on top of that foundation.
Because Rae operates on authoritative identity data, it has real context. It understands your environment as it exists today, not as a static model or best guess. That context is what makes trusted automation possible.
Meet Rae
Rae is an intelligent, agentic AI purpose-built for Identity and Access Management.
Think of Rae as a senior IAM engineer embedded directly into YeshID. Rae advises, monitors, explains, and takes action across the IAM lifecycle.
This is not a generic AI assistant adapted for security. Rae was designed specifically for IAM operations, governance, and security teams.
Rae can assist interactively, work proactively in the background, and perform governed actions based on your policies and approvals.
What Rae Does in Practice
Answers IAM Questions in Context
Rae understands your identities, applications, and policies. You can ask questions like:
- Why does this user have access to this application?
- Which policies grant this entitlement?
- What is the impact if this role is compromised?
Rae does not just answer. It explains its reasoning and points back to the underlying data and policies.
Detects Risk and Drift Proactively
Rae continuously analyzes your IAM environment to identify issues such as:
- Newly discovered or unsanctioned applications
- Over-privileged users or roles
- Policy drift and misconfigurations
- Dormant or risky identities
Instead of reacting to alerts, teams get clear explanations of what changed, why it matters, and what to do next.
Takes Governed IAM Actions
Rae can be configured to act within the guardrails you define.
That can include flagging or quarantining risky access, opening workflows for review, provisioning or deprovisioning access, or enforcing policy standards across applications.
Every action is auditable, explainable, and aligned with YeshID controls.
Turns IAM Into a Security Signal
Rae correlates identity data with security signals to surface identity-driven risk.
Security teams can see threat summaries tied directly to users, applications, and policies. IAM becomes an active participant in security investigations, not just a control to check after the fact.
Teaches and Enables IAM Teams
Rae also acts as a mentor.
It helps teams understand IAM best practices, explains policy trade-offs, and generates policy examples tailored to their environment. This reduces reliance on scarce IAM expertise and helps teams mature faster.
How Rae Is Different
Most AI tools in security are advisory at best. They lack real system context and cannot be trusted to act.
Rae is different because it is IAM-native.
It operates on authoritative identity data, not assumptions. It is designed for action, not just insight. And it is built for environments where trust, auditability, and explainability matter.
Rae is not a chatbot bolted onto IAM. It is an IAM-native agent designed for operational trust.
Who Rae Is Built For
Rae is designed for mid-market and enterprise organizations that are scaling SaaS, cloud, and AI workloads.
It supports security, IAM, and IT operations teams, especially in regulated industries where access governance is critical.
The Business Impact
Organizations using Rae can expect to:
- Reduce identity risk by detecting issues earlier
- Increase efficiency through automation of repetitive tasks
- Close talent gaps by embedding senior-level IAM expertise
- Improve security posture by treating identity as a first-class signal
- Scale IAM operations without linear headcount growth
From System of Record to System of Intelligence
IAM has traditionally been a system of record.
With Rae, it becomes a system of intelligence.
Rae helps organizations move from reactive identity management to proactive identity decision-making, grounded in real data and executed with confidence.
Rae by YeshID is agentic AI for Identity and Access Management, built for trust, scale, and real-world operations.