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Zenoss Completes SOC 2 Type 2 Audit for Zenoss Cloud

Zenoss announced the successful completion of the System and Organization Controls (SOC) 2 Type 2 audit.

The audit performed by an independent auditor certifies that Zenoss procedures, policies and operations meet the trust services criteria for security, availability, process integrity and confidentiality.

The SOC 2 Type 2 report covers the AICPA's Trust Services Criteria for Security, Availability, Confidentiality and Privacy. It reports on the description of controls provided by the management of the service organization, attests that the controls are suitably designed and implemented, and attests to the operating effectiveness of the controls.

During a rigorous period of examination, an independent auditor assessed Zenoss controls and determined that these controls meet or exceed the AICPA's SOC 2 - SOC for Services Organizations: Trust Services Criteria. The review validated how Zenoss internal controls ensure the security, availability and processing integrity of the systems the company uses to process customers’ data and the confidentiality and privacy of that data.

"Security is a top priority as more and more customers adopt SaaS-based monitoring platforms like Zenoss Cloud," said Ani Gujrathi, CTO at Zenoss. "Executives and practitioners across all industries need confidence in the security of their data and systems, and we're meeting or exceeding the highest standards in the industry."

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Zenoss Completes SOC 2 Type 2 Audit for Zenoss Cloud

Zenoss announced the successful completion of the System and Organization Controls (SOC) 2 Type 2 audit.

The audit performed by an independent auditor certifies that Zenoss procedures, policies and operations meet the trust services criteria for security, availability, process integrity and confidentiality.

The SOC 2 Type 2 report covers the AICPA's Trust Services Criteria for Security, Availability, Confidentiality and Privacy. It reports on the description of controls provided by the management of the service organization, attests that the controls are suitably designed and implemented, and attests to the operating effectiveness of the controls.

During a rigorous period of examination, an independent auditor assessed Zenoss controls and determined that these controls meet or exceed the AICPA's SOC 2 - SOC for Services Organizations: Trust Services Criteria. The review validated how Zenoss internal controls ensure the security, availability and processing integrity of the systems the company uses to process customers’ data and the confidentiality and privacy of that data.

"Security is a top priority as more and more customers adopt SaaS-based monitoring platforms like Zenoss Cloud," said Ani Gujrathi, CTO at Zenoss. "Executives and practitioners across all industries need confidence in the security of their data and systems, and we're meeting or exceeding the highest standards in the industry."

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Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

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AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

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