Identity is now the fastest-growing attack surface in the enterprise, and the hardest one to govern. Josys is the AI-native platform that closes that gap: it discovers, governs, and secures every identity, human, machine, and AI agent, across every application you run. Policy-led governance is at the core: define access policies once, and Josys enforces them autonomously, surfacing risk, controlling access, and remediating identity threats in real time without manual intervention. More than 1,000 organizations and MSPs rely on Josys to turn identity risk into an autonomously governed advantage. Visit josys.com to learn more.
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FinOpsly helps enterprises regain control of cloud, data, and AI spend—and turn it into measurable business value.
As organizations scale across AWS, Azure, GCP, and modern data platforms like Snowflake, Databricks, and BigQuery, technology costs become harder to predict, explain, and control. FinOpsly addresses this challenge by connecting technology spend directly to business outcomes—and enabling teams to act on it in real time.
FinOpsly unifies cloud infrastructure, data platforms, and AI workloads into a single operating model where spend is planned upfront, monitored continuously, and optimized automatically. Using explainable, policy-driven AI, the platform helps organizations reduce waste, prevent overruns, and align technology investments with business priorities—without slowing down innovation.
With FinOpsly, organizations can:
Understand exactly where money is going across AWS, Azure, GCP, Snowflake, Databricks, and BigQuery
Plan and forecast costs earlier, before new cloud, data, or AI initiatives are deployed
Automate optimization safely, using governance rules aligned to business risk and performance needs
Deliver measurable financial impact quickly, often within weeks rather than quarters
FinOpsly enables IT, finance, and business leaders to operate from a shared view of spend and value—bringing Value-Control™ to cloud, data, and AI investments at enterprise scale.
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Increment
Our suite of insights and recommendations simplifies the process of managing and optimizing costs. With cutting-edge models that dissect expenses in great detail, you can pinpoint the costs linked to individual queries or entire datasets. By consolidating data workloads, you can uncover their total expenditures over a period. This clarity allows you to recognize the actions that lead to desired results, helping your team to concentrate on and prioritize the most significant technical debt. You will learn to configure your data workloads to enhance cost efficiency. You can achieve notable savings without altering current queries or eliminating tables. Furthermore, you can increase your team's expertise with customized query recommendations. Aim for a harmonious relationship between effort and outcomes to guarantee that your projects yield the highest returns on investment. Teams have experienced cost reductions of as much as 30% through minor adjustments, demonstrating the success of our methodology. Ultimately, this enables organizations to make educated choices while effectively managing their resources, fostering a culture of continuous improvement. By leveraging these tools, you can ensure sustained progress in cost management and resource allocation.
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Chaos Genius
Chaos Genius acts as a specialized DataOps Observability platform tailored for Snowflake, enabling users to boost their Snowflake Observability, which helps in reducing expenses and optimizing query performance. Through the use of this platform, companies can obtain more profound insights into their data management processes, leading to better decision-making. Additionally, the enhanced visibility provided by Chaos Genius empowers teams to proactively address issues and improve overall data strategies.
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