October 10, 2022
Announcement of SOC 2 Type I Compliance
Pantomath announced today that it has achieved SOC 2 Type I compliance in accordance with American Institute of Certified Public Accountants (AICPA) standards for SOC for Service Organizations also known as SSAE 18.
Cincinnati, Ohio – Monday, October 10, 2022 – Pantomath announced today that it has achieved SOC 2 Type I compliance in accordance with American Institute of Certified Public Accountants (AICPA) standards for SOC for Service Organizations also known as SSAE 18. Achieving this standard with an unqualified opinion serves as third-party industry validation that Pantomath provides enterprise-level security for sensitive data.
“Implementing and maintaining secure information security policies for the benefit and protection of our customers is paramount at Pantomath”, said Somesh Saxena, CEO and Founder of Pantomath. He continued “Earning Type I compliance is the first of many steps we will take to meet and exceed the stringent and justified demands of Fortune 100 customers”.
Pantomath was audited by Prescient Assurance , a leader in security and compliance attestation for B2B, SAAS companies worldwide. Prescient Assurance is a registered public accounting in the US and Canada and provides risk management and assurance services which includes but is not limited to SOC 2, PCI, ISO, NIST, GDPR, CCPA, HIPAA, and CSA STAR. For more information about Prescient Assurance, you may reach out them at firstname.lastname@example.org.
Pantomath’s SOC 2 Type I audit report demonstrates to current and future customers that they manage their data with the highest standard of security and compliance.
About Pantomath – Pantomath is an automated pipeline lineage discovery platform for end-to-end operations across complex data analytics ecosystems. Our goal is improving data uptime & availability and increasing productivity with fewer operational “fire drills”. Instantly detect operational challenges through real-time alerts, troubleshoot, identify root-cause, and resolve incidents across the entire data stack.