Data security specialist Getvisibility is opening a new office in San Francisco, having developed an AI-powered platform for data discovery, classification, security and governance.

New chief operating officer (COO), Jacinta Tobin, will lead the new US office. This is the latest step in the global expansion of the Cork-based company, which also has a strong presence in the UK.

Jacinta Tobin said, “When you consider that IBM reports that the average cost of a data breach in the United States is $9.44 million, action is clearly needed. To meet this growing demand in the US and the other markets in which we operate, including Ireland and the UK, we are investing in our team, our offering and our presence.

“Supported by the right expertise of our people and our partnerships with industry leaders, we will be at the heart of a new era in data management and security. Not only does this help our customers successfully manage unstructured data, but it also allows us to drive our own success as a business.

Getvisibility has already built a solid customer base in the United States by securing major contracts with large companies in highly regulated sectors such as finance, defense, pharmaceuticals, biotechnology, automotive and manufacturing.

To support these customers and enable its growing global network of supplier and reseller partners, the company also plans to expand its teams in the United States and the Europe, Middle East and Africa (EMEA) region.

Over the next 12 months, Getvisibility will be hiring Data Security Architects, Support Engineers, Data Quality Assurance Managers, Data Scientists, Software Engineers, Sales Engineers and Project Managers at all experience levels. Vacancies currently include Senior Product Marketing Manager and Senior Sales Engineer.

Getvisibility enables security, governance, risk, and compliance teams to define protective surfaces, create concise and accurate data security and compliance reports, and automate GDPR SAR requests that require response within a period of one month. This approach dramatically reduces the complexity of data loss prevention and the rate of false positive alerts.