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SGNL.AI

★★★★★ 3.0 · 1 Review

What is SGNL.AI?

SGNL is a Palo Alto-based company founded in 2021 that specializes in modern privileged identity management. The company focuses on integrating business context into its security solutions to address gaps in traditional Identity Governance and Administration (IGA) and Privileged Access Management (PAM) systems. SGNL is led by industry veterans Scott Kriz and Erik Gustavson, who co-founded Bitium, an Identity and Access Management company acquired by Google in 2017. SGNL offers a dynamic approach to access management, aiming for Zero Standing Privilege (ZSP) across cloud applications like Azure, AWS, GitHub, and Salesforce, as well as on-premises systems. Its platform supports large-scale enterprise operations and features an innovative policy management system that allows for easy policy reuse. SGNL provides its solutions as a fully cloud-based SaaS offering and as an on-premises Kubernetes appliance. The company is backed by notable investors and has raised 22 million in funding, with its solutions being utilized by global enterprises and mid-market companies in sectors such as finance and healthcare.

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SGNL.AI Reviews (1)

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Review Summary

Generated using AI from real user reviews

SGNL.AI delivers solid access control fundamentals but carries real friction around integrations and support scaling.

The Zero Standing Privilege model appeals to users, and once integrations are set up, they tend to hold steady. Policy reuse has helped smaller teams avoid repetitive configuration work. Customer service has improved over time, though users note that attention and incident response times may vary depending on customer size and industry.

Integration challenges are the main pain point. AWS and Azure connections work reasonably well, but Salesforce and legacy on-premises systems require months of back-and-forth with support to map properly. Documentation doesn't always ease the burden. For lean IT teams—particularly in nonprofits and education—the upfront integration effort is substantial and can feel misaligned with the product's price.

Users acknowledge the product is useful and stable once deployed, but "not frictionless" is a fair assessment. The value proposition seems clearer for organizations with larger IT operations or those primarily on cloud platforms.

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