Scalekit vs. Plurilock DEFEND

Scalekit is a production-ready authentication platform that helps developers build AI agents capable of securely interacting with SaaS applications, APIs, databases, internal services, and MCP servers. Instead of giving agents broad organizational access through service accounts, Scalekit enables every action to be performed on behalf of an authenticated user using delegated identity, approved OAuth permissions, and tenant-specific authorization. The platform manages the complete authentication lifecycle, including OAuth flows, credential vaulting, secure token storage, automatic token refresh, authorization validation, and API execution, allowing developers to focus on application logic instead of identity infrastructure. Scalekit supports more than 100 prebuilt connectors while also allowing teams to create custom integrations for proprietary APIs, enterprise systems, and internal services. The platform automatically handles operational concerns such as pagination, retries, rate limiting, error handling, and credential resolution before returning clean responses to AI agents. Every interaction generates a detailed audit trail that records which user authorized the request, which agent executed it, what permissions were used, and what actions were performed, making compliance and security reviews significantly easier. Enterprise security features include AES-256 encrypted credential storage, per-tenant isolation, multi-region deployment, private cloud hosting, SIEM integration, and a 99.99% uptime SLA. Scalekit also provides authentication infrastructure for SaaS products, including SSO, SCIM provisioning, RBAC, passwordless authentication, and organization management, enabling teams to support both human users and AI agents from a single platform. Its architecture is designed for organizations deploying customer-facing and internal AI agents that require secure, delegated access across multiple business systems.

Plurilock DEFEND offers continuous authentication during active computing sessions by utilizing behavioral biometrics in conjunction with the keyboard and mouse devices already employed by employees. The system operates through an invisible endpoint agent and applies machine learning algorithms to assess and verify a user's identity based on their console interactions, eliminating the need for visible authentication processes. When integrated with SIEM/SOAR systems, DEFEND enhances the ability to triage and respond to security operations center alerts by providing high-confidence identity threat intelligence. Furthermore, by seamlessly integrating into login and application workflows, DEFEND delivers immediate identity verification signals in the background, enabling a truly seamless login experience once identity has been established. The DEFEND solution is compatible with various platforms, including Windows, Mac OS, IGEL, and Amazon Workspaces VDI clients, ensuring broad applicability across different environments. This flexibility makes DEFEND a versatile choice for organizations looking to enhance their security posture without disrupting user experience.