Josys is a modern AI-native identity security and governance platform. Enterprise AI adoption has made identity the fastest-growing attack surface — and the hardest to govern. Josys discovers, governs, and secures every identity - human, machine, and AI agent - across every application in the enterprise. Built on policy-led governance, Josys lets security and IT teams define access policies once and enforce them autonomously: risk is surfaced, access is controlled, and identity threats are remediated in real time, without manual oversight. Trusted by over 1,000 organizations and MSPs worldwide, Josys turns identity from the fastest-growing attack surface into an autonomously governed advantage. For more information, visit josys.com.
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Setyl is an IT asset and license management platform (ITAM) that combines hardware and software asset management in one.
The platform integrates with 100+ systems, including Microsoft, Google, MDM, RMM, IAM, SSO, HR, helpdesk tools, and more.
Use Setyl to gain full visibility and control over your IT assets, SaaS applications, software licenses, users, vendors, and spend in one place — helping you:
✓ Automate and scale daily IT operations, including inventory management and user on/offboarding.
✓ Identify and cut wasted IT spend.
✓ Prepare for audits and stay compliant, including with SOC 2 and ISO 27001.
With an intuitive interface, native integrations, and one-on-one support at every step, the platform is fast to deploy, easy to use, and built for collaboration.
Features include: IT asset and license inventory, full asset lifecycle management, software renewal management, license rightsizing, employee onboarding and offboarding, vendor audits, and spend tracking.
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Fairwinds Insights
Protect and optimize your mission-critical Kubernetes applications. Fairwinds Insights is a Kubernetes configuration validation platform that proactively monitors your Kubernetes and container configurations and recommends improvements. The software combines trusted open source tools, toolchain integrations, and SRE expertise based on hundreds of successful Kubernetes deployments. Balancing the velocity of engineering with the reactionary pace of security can result in messy Kubernetes configurations and unnecessary risk. Trial-and-error efforts to adjust CPU and memory settings eats into engineering time and can result in over-provisioning data center capacity or cloud compute. Traditional monitoring tools are critical, but don’t provide everything needed to proactively identify changes to maintain reliable Kubernetes workloads.
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