Concentric AI, a vendor of intelligent AI-based solutions for autonomous data security posture management, has named former Fidelis Cybersecurity sales executive Daniel Emanuele as its Senior Vice President of Sales. Emanuele will lead the company’s expanding sales team by focusing on revenue and market expansion to meet the increasing demand for Concentric AI’s data security posture management solutions.
“Concentric AI continues to transform the data security market, which made my decision to join easy,” said Emanuele. “The entire team – from the executives to our engineers – demonstrates a relentless commitment to customer success. I share that passion, and I’m excited to leverage my background and expertise to shape a culture that will serve our customers while growing Concentric AI into the data security market leader.”
Emanuele is a 15-year sales leader with a primary focus on building relationships, leading sales teams with transparency, and solving customer problems in the data security software industry. His experience spans identity and access management (IAM), cyber range training solutions, advanced threat hunting, data loss prevention, and 10 years in data access governance.
Prior to joining Concentric AI, Emanuele spent three years with Fidelis Cybersecurity, where he led the North American and LATAM sales organization. He also served for three years providing cyber warriors with the hands-on cyber range training they need to stay effective in an ever-changing threat landscape. Prior to that, he spent 10 years leading the North American Sales team at Stealthbits and building out the North Central U.S. territory for Varonis.
Concentric AI secures data-centric work using AI to protect business-critical information hidden in the millions of files and databases used by today’s distributed workforce. The company’s learning solution finds sensitive content, assesses risk and remediates security issues, allowing organizations to meet their data security needs.
Concentric AI’s trademarked Semantic Intelligence automates unstructured and structured data security using deep learning to categorize data, uncover business criticality and reduce risk. Its trademarked Risk Distance analysis technology uses the baseline security practices observed for each data category to spot security anomalies in individual files. This works by comparing documents of the same type to identify risk from oversharing, third-party access, wrong location or misclassification.
For more information, see https://www.concentric.ai.
