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Teleskope, A US-Based Data Security Company Unveils AI-based Data Protection Platform

Synopsis-

Teleskope, a New York-based data security company, unveiled a data protection platform that automates privacy, data security and compliance at scale, helping firms and companies comply with regulations like CCPA and GDPR.”

Data security has become an obligation at a worldwide level. Security privacy, data of users and adherence to international compliances have become necessary to ensure technology is only meant for the betterment of users.

In the same event, Teleskope, a New York-based data security company, unveiled a data protection platform that automates privacy, data security and compliance at scale, helping firms and companies comply with regulations like CCPA and GDPR. The platform also aims to minimize operation and manual load on data, engineering and security teams.

Which technology is behind Teleskope’s new data protection platform?

Teleskope uses artificial intelligence (AI) – specifically large language models (LLM) – to provide actionable insights with greater accuracy, as opposed to traditional Data Security Posture Management (DSPM) approaches, which frequently end up in alert fatigue due to precious time wasted on false positives. Data protection software from the company integrates into current workflows and developer pipelines, allowing engineers to automate security at the source. 

Teleskope enables organisations to focus on genuine vulnerabilities by minimising false positives while offering context around the data, simplifying their security and privacy operations while substantially lowering risk – particularly pertinent at a time when data breaches and privacy incidents are on the rise, as are fines for improper data handling.

Teleskope Brings Fresh Perspective to Data Protection

Teleskope brings expertise and an innovative viewpoint to the issue of data security. Before launching Teleskope, the co-founders faced the issue of constant manual assessments and reviews that became obsolete as soon as they were completed. They recognised the need for automation to replace point-in-time spreadsheets and ad hoc scripts with a real-time and always-up-to-date data security and privacy posture.

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