About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Automated-Intelligence Launches Regulatory Risk Scoring with hivera

Subscribe to our newsletter

At the start of this month, data management specialist Automated-Intelligence (which provides data insight, risk identification and compliance reporting to financial services firms through its cloud-based solution, AI.DATALIFT), made headlines with the launch of its long-awaited new RegTech platform – allowing Chief Risk Officers and Heads of Compliance to visualise and mitigate the regulatory risk across their entire unstructured data estate.

According to Automated-Intelligence, an estimated 80% of all data is unstructured. And hitherto, challenges associated with discovering, analysing and managing unstructured data have created a significant barrier for compliance professionals, who are under increasing pressure from regulators to demonstrate compliance against policies and regulatory standards over all of their data.

The firm’s new RegTech platform, hivera, aims to solve this problem by indexing text-extractable content, providing users with advanced search capability to categorise personal information and commercially-sensitive data through metadata, security, keyword, phrases, and regular expression pattern matching. The solution enables clients to observe their unstructured data: assigning a tailored regulatory risk score through its dashboard based on the financial services firm’s risk appetite to that data, and automating the identification and remediation of threats to help mitigate associated risks.

It also aims to reduce regulatory risk and minimise human error by automating processes: applying pre-audited policies to categorised data, thus enabling ongoing data compliance and remediation. Policies applied against categorised data can perform deletions or archiving according to organisational retention schedules.

“hivera is transforming how financial services firms view unstructured data,” says Simon Cole, CEO at Automated Intelligence. “By providing greater visibility and control over their unstructured data estate, we’re improving data analysis, data privacy, data protection and risk mitigation capabilities of our clients.

“The financial industry is a hugely important sector for us and by launching a new and dedicated platform, we can really transform how financial services view and manage their unstructured data.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Are Your Legacy Voice Recordings a Compliance Time Bomb?

Recent enforcement actions underscore the importance of maintaining accurate, secure and up-to-date voice and electronic communication. For some organisations, legacy voice recording systems are not at or beyond end-of-life, posing significant compliance, operational and financial risks. These outdated systems often fail to meet evolving regulatory expectations around data authenticity, retention, and accessibility. Delaying action increases...

BLOG

AI in Finance: Key Insights from the SEC’s Landmark 2025 Roundtable

In late March, the U.S. Securities and Exchange Commission (SEC) hosted a landmark roundtable on artificial intelligence (AI) in financial services. Held in Washington, D.C., the event brought together regulators, technologists, market participants, and legal experts to explore the evolving landscape of AI – from transformative innovation to systemic risk. This wasn’t about rulemaking –...

EVENT

RegTech Summit New York

Now in its 9th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...