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BigPanda Achieves SOC 2 Type II Security Attestation

BigPanda successfully completed SOC 2 Type II audit and attestation.

The final report provides BigPanda’s enterprise IT customers with the assurance of corporate controls and processes relating to the security of its products and infrastructure, the availability of systems used to process data, and the confidentiality of information processed by the systems.

In addition to SOC 2 Type II compliance, the BigPanda platform features a robust set of enterprise-class security controls required by Fortune 1000 organizations. These include:

- End-to-end encryption. All customer data is encrypted at all times in BigPanda, in transit and at rest.

- User authentication. BigPanda customers can enforce their corporate security policies using SAML 2.0 compliant Single Sign On.

- Role based access control. RBAC is a flexible yet powerful mechanism to define user roles and associated permissions, thereby ensuring that every user sees only what he or she is entitled to access.

- Strict data segregation. BigPanda’s cloud-native, multi-tenant architecture is designed to strictly segregate both application and integration data from one customer organization to another.

- Physical security. BigPanda benefits from the scale of operations and security compliance of Amazon Web Services data centers which are ISO 27001, PCI and AICPA certified. The platform runs in multiple availability zones and backs up data across regions.

- Security audits. BigPanda continuously runs internal tests and audits, with any noteworthy issues addressed immediately. The company leverages infosecurity firm Include Security to perform complete vulnerability scans of the application on a regular basis.

The Service Organization Control (SOC) 2 Type II is the widely recognized attestation standard issued by the American Institute of Certified Public Accountants (AICPA) which measures a standardized set of security and data practice criteria, requirements and controls. Companies including publicly traded enterprises, financial firms and healthcare organizations have compliance requirements that require SOC 2 audits. BigPanda has committed to an annual review of these practices to ensure continued SOC 2 compliance, which is already underway for 2018.

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BigPanda Achieves SOC 2 Type II Security Attestation

BigPanda successfully completed SOC 2 Type II audit and attestation.

The final report provides BigPanda’s enterprise IT customers with the assurance of corporate controls and processes relating to the security of its products and infrastructure, the availability of systems used to process data, and the confidentiality of information processed by the systems.

In addition to SOC 2 Type II compliance, the BigPanda platform features a robust set of enterprise-class security controls required by Fortune 1000 organizations. These include:

- End-to-end encryption. All customer data is encrypted at all times in BigPanda, in transit and at rest.

- User authentication. BigPanda customers can enforce their corporate security policies using SAML 2.0 compliant Single Sign On.

- Role based access control. RBAC is a flexible yet powerful mechanism to define user roles and associated permissions, thereby ensuring that every user sees only what he or she is entitled to access.

- Strict data segregation. BigPanda’s cloud-native, multi-tenant architecture is designed to strictly segregate both application and integration data from one customer organization to another.

- Physical security. BigPanda benefits from the scale of operations and security compliance of Amazon Web Services data centers which are ISO 27001, PCI and AICPA certified. The platform runs in multiple availability zones and backs up data across regions.

- Security audits. BigPanda continuously runs internal tests and audits, with any noteworthy issues addressed immediately. The company leverages infosecurity firm Include Security to perform complete vulnerability scans of the application on a regular basis.

The Service Organization Control (SOC) 2 Type II is the widely recognized attestation standard issued by the American Institute of Certified Public Accountants (AICPA) which measures a standardized set of security and data practice criteria, requirements and controls. Companies including publicly traded enterprises, financial firms and healthcare organizations have compliance requirements that require SOC 2 audits. BigPanda has committed to an annual review of these practices to ensure continued SOC 2 compliance, which is already underway for 2018.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...