NOMINATION HIGHLIGHTS

Through AI-driven innovation, Keeper is leading the future of PAM with KeeperPAM, a zero-knowledge, cloud-native identity security platform that unifies enterprise endpoint, password, secrets and connections management with zero-trust network access and remote browser isolation. KeeperPAM includes KeeperAI, an AI-driven threat detection and mitigation system that automatically monitors and analyzes privileged user sessions to detect and shut down malicious activity in real time, as it occurs.

KeeperAI is built on a Sovereign AI framework, meaning AI models operate within customer-controlled environments (on-premises or in customer-controlled cloud runtimes) so no unencrypted session data or model execution leaves the customer’s environment. This preserves full customer data sovereignty and compliance. The system generates contextual risk analyses based on privileged session activity, helping security teams detect, assess and automatically mitigate threats as they occur – including activity initiated through automated processes and machine-driven workflows.

Unlike legacy PAM solutions and retrofitted AI integrations that rely on post-event analysis, KeeperAI functions as an autonomous security layer with explicit detection capabilities: real-time behavior anomaly detection within privileged sessions, command-pattern analysis (including unusual or dangerous command sequences), keystroke and command-timing analysis and multi-protocol coverage (starting with SSH and expanding to RDP, VNC, database protocols and Remote Browser Isolation).

When KeeperAI identifies a high-risk pattern, it can escalate alerts, generate encrypted forensic summaries or automatically terminate the session to prevent escalation or data exfiltration. KeeperAI evaluates privileged activity across modern hybrid environments, delivering precise, low-noise alerts that reduce analyst workload while improving detection accuracy, a critical requirement as organizations scale automation and AI-assisted operations.

Model Context Protocol (MCP) remains available for customers that want tightly controlled, auditable AI integrations. Keeper’s MCP for Secrets Manager lets organizations authorize third-party AI agents to request secrets or perform limited actions under explicit policy guardrails. MCP enforces request validation and tamper-evident logging while preserving Keeper’s zero-knowledge guarantees.

Unlike traditional API-based approaches that retrofit security onto existing systems, Keeper’s architecture validates every request, enforces policies and generates tamper-evident audit logs in real time, ensuring AI-driven access remains accountable and traceable.

Keeper also invests in cybersecurity research that explores the AI-related challenges security teams across sectors face. The AI in Schools: Balancing Adoption With Risk study provides data-driven insights into how educational institutions can safely adopt AI technologies.