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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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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

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Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...