SGNL provides a modern privileged identity management system that eliminates standing access to critical systems by granting and revoking contextual access in real-time. This approach reduces the risk of identity breaches across cloud applications and on-premises systems by ensuring that access is dynamically evaluated based on current business context.
Funding
$22M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations face significant risks from standing privileged access to critical systems, including cloud infrastructure, code repositories, and sensitive data. Traditional identity and access management (IAM) and privileged access management (PAM) solutions often lack the real-time context needed to dynamically adjust access based on changing conditions, leading to potential security breaches and data leaks. Securing access for AI agents and machine-controlled processes (MCP) further complicates the challenge.
Solution
SGNL provides a modern privileged identity management system that eliminates standing access by granting and revoking contextual access in real-time for both human and non-human identities. The platform integrates with existing identity and security solutions to dynamically evaluate access requests based on business context, including user roles, device compliance, and real-time risk signals. SGNL leverages the CAEP (Context-Aware Event Protocol) Hub to monitor risk signals and instantly adjust privileges as conditions evolve. By implementing zero standing privilege (ZSP), SGNL reduces the attack surface and minimizes the risk of identity-based breaches across cloud applications, on-premises systems, and AI-driven processes.
Target Audience
SGNL targets security and identity professionals, CISOs, and IT leaders responsible for managing privileged access and securing critical systems in organizations with complex cloud and on-premises environments, including those adopting AI and machine learning technologies.
Features
- Real-time privileged session management with dynamic revocation based on contextual changes
- Integration with existing identity providers (IdPs) and security information and event management (SIEM) systems
- Context-aware access policies that consider user roles, device posture, location, and other risk factors
- Support for the Context-Aware Event Protocol (CAEP) for real-time risk signal ingestion and policy enforcement
- MCP (Model Context Protocol) Gateway to enforce fine-grained access control for AI agents and machine-controlled processes
- Automated entitlement reviews and access certifications
- Integration with cloud platforms such as AWS, Azure, and GCP
- Integration with developer platforms such as GitHub