SecurePII is a data-privacy regtech company that focuses on one of the most overlooked sources of sensitive data risk: voice. Contact centers and phone-based businesses routinely capture credit card numbers, identity details, and other personally identifiable information (PII) in call recordings and transcripts. SecurePII provides a cloud-native platform that captures and anonymizes this sensitive data in real time, so organizations can take payments and collect personal information over the phone securely and in compliance with privacy rules.
The core value is unlocking voice data safely. By stripping or masking PII as calls happen, SecurePII lets enterprises retain and analyze voice interactions — feeding them into AI models, quality monitoring, and analytics — without carrying the liability of storing raw sensitive data. This addresses a real tension: businesses want to use the rich data in customer calls to train and run AI, but regulations like PCI DSS for payment data and GDPR for personal data make storing that information in the clear hazardous.
SecurePII positions itself at the intersection of payments security and AI enablement. Its real-time anonymization is designed for phone-based payment flows and personal-data collection, ensuring that sensitive fields never persist where they could be breached or misused, while still allowing the surrounding conversation to be used productively. That makes it relevant to financial services, telecoms, healthcare, and any enterprise running large phone operations under compliance scrutiny.
The company was founded by Jason Thals, Haydn Faltyn, and Bill Placke, and operates as a cloud-native compliance platform with a growing global presence. Its emphasis on voice as a first-class privacy surface differentiates it from text- and document-oriented DLP tools, reflecting how much sensitive information still flows through spoken channels.
In late 2025 SecurePII raised US$3.5 million (about A$5 million) in seed funding led by Tidal Ventures, an early-stage investor focused on AI-native B2B software, to expand globally and accelerate its push to make voice data both compliant and usable. SecurePII's thesis is that as enterprises rush to apply AI to customer conversations, real-time voice anonymization becomes essential infrastructure for staying compliant.