Martina: AI-Powered Identity Monitoring and Response
Xalient's Martina platform represents an evolution of AI-driven monitoring originally developed for network security and now adapted for identity governance. Built on SailPoint's Atlas APIs, Martina consumes identity data, account information, source connections, and system events to detect anomalies and predict issues before they impact operations. The platform operates across three levels: observe (identifying issues like failed aggregations or disconnected sources), resolve (triaging and coordinating responses through ITSM tools like ServiceNow), and remediate (autonomous or human-approved fixes). Martina supports all baseline ISC functionality plus NIRM workflows, providing contextualized alerts that explain downstream impacts rather than just reporting isolated errors.
Managed Services Enhanced by Predictive Intelligence
Xalient leverages Martina to deliver differentiated managed services for SailPoint customers, including a deployment supporting over one million identities with NIRM. The platform's machine learning capabilities enable it to establish baselines for what a healthy implementation looks like and detect deviations that could signal problems. Beyond monitoring, Xalient has built complementary solutions using Atlas workflows and APIs, including identity data orchestration (publishing identity changes to enterprise service buses), ServiceNow integration for emergency terminations, and interactive forms that replicate ITSM functionality within ISC for organizations without external ticketing systems. This holistic approach delivers measurable improvements in mean time to detection, response, and remediation.
Roadmap: Autonomous Agents and Non-Human Identity Governance
Xalient's development roadmap focuses on expanding Martina's autonomous capabilities through agentic AI. For low-risk issues with established playbooks, agents will resolve problems without human intervention and simply notify customers post-resolution. For higher-risk scenarios, agents will gather context, propose fixes with supporting evidence, and route to human approval. The team is also addressing the governance challenges created by AI proliferation, particularly non-human identity management for AI agents and service accounts. As implementations mature, Xalient envisions a future where most operational issues are resolved autonomously overnight, with customers receiving morning summaries of problems detected, diagnosed, and fixed while they slept.
