Cyata provides a control plane that discovers and manages autonomous AI agents across SaaS, cloud, and on‑prem environments, linking their actions to intent and owners. It enables real‑time, context‑aware policies, automated shutdowns, and human‑in‑the‑loop approvals, with immutable audit logs that integrate with existing IAM, PAM, and SIEM solutions.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises are deploying autonomous AI agents that can access privileged systems, impersonate users, and execute actions without a defined lifecycle, secret rotation, or audit trail. These “shadow agents” operate invisibly, making it difficult to detect misuse, enforce governance, or meet compliance requirements. The lack of dedicated identity and policy controls for such non‑human actors creates a significant security blind spot.
Solution
Cyata delivers a dedicated control plane for agentic identity, enabling organizations to discover every AI agent across SaaS, cloud, and on‑prem environments in real time. The platform correlates each agent’s actions with its underlying intent, providing a full provenance chain that includes timestamps, owners, and tool usage. Administrators can define granular, context‑aware policies that automatically enforce boundaries, trigger shutdowns, or require human approval for high‑risk operations. All agent activity is logged to a tamper‑proof audit store and can be streamed to SIEM, SOAR, and compliance frameworks. Cyata integrates with existing IAM and secret‑management solutions, extending their lifecycle and access‑control models to cover autonomous agents without replacing existing infrastructure. The solution scales to support emerging agentic workloads such as AI‑first IDEs, orchestration bots, and custom LLM‑driven services.
Target Audience
The primary customers are enterprise security, identity, and access‑management teams responsible for protecting privileged resources in organizations that have deployed autonomous AI agents. It also serves DevOps and AI engineering groups that need governance over agentic workloads without disrupting development pipelines.
Features
- Automated discovery engine that scans SaaS apps, cloud platforms, and identity stores to surface hidden AI agents, including token‑based and ephemeral sessions.
- Intent‑linking provenance layer that maps agent actions to business objectives, owners, and toolchains, delivering end‑to‑end traceability.
- Dynamic policy engine with real‑time enforcement, supporting auto‑shutdown, just‑in‑time access, and configurable human‑in‑the‑loop approvals.
- Posture management dashboard that visualizes agent modes, privilege levels, and risk scores across the enterprise.
- Native integrations with IAM, PAM, and secret‑vault solutions via FHIR‑compatible APIs and SDKs for seamless identity extension.
- Continuous audit logging with immutable storage, ready for export to SIEM, SOAR, and compliance reporting (PCI, SOC 2, ISO 27001).
- Support for emerging agentic platforms (e.g., Google Antigravity, Cursor, custom LLM agents) with plug‑in adapters for rapid onboarding.