Teleskope, a data protection platform, has unveiled its automated data security, privacy, and compliance solution to help organizations adhere to regulations such as GDPR and CCPA. By harnessing artificial intelligence (AI) and large language models (LLM), Teleskope provides accurate insights that minimize false positives and streamline security and privacy operations.
Traditional Data Security Posture Management (DSPM) approaches often lead to alert fatigue due to valuable time wasted on false positives. However, Teleskope’s AI-powered software integrates with existing workflows and developer pipelines, allowing engineers to automate security at the source. This eliminates the manual and operational burden on security, data, and engineering teams.
The need for enhanced data security measures is crucial as data breaches and privacy incidents continue to rise. With the implementation of Teleskope’s solution, organizations can focus on genuine vulnerabilities, significantly reducing the risk of improper data handling and potential fines.
According to Fastly Research and Enterprise Strategy Group (ESG), organizations spend as much time or even more time on false positives than on actual attacks. These false alerts not only cause downtime but also hinder the ability to maintain adequate security across various application architectures. Teleskope aims to solve this problem by providing actionable context around data, allowing organizations to prioritize their security efforts effectively.
The founders of Teleskope, Elizabeth Nammour and Julie Trias, are former Airbnb security engineers who have firsthand experience with the challenges of constant manual assessments and outdated review processes. Recognizing the need for automation to provide real-time and up-to-date data security and privacy postures, they developed Teleskope’s platform.
Elizabeth Nammour, the CEO of Teleskope, understands the increasing concern for privacy due to the widespread use of generative AI, which has led to more data leaks. Nammour emphasizes that traditional data classification products often have limitations, such as high false-positive rates, lack of contextual understanding, and an inability to scale and integrate effectively. Teleskope addresses these limitations by automating security and privacy processes, saving organizations valuable time and reducing risk.
Teleskope’s advanced contextual analysis surpasses traditional data classification methods. It can discern whether data, like an address, is considered personally identifiable information (PII) based on its association with a customer’s home address, a public landmark, or a business address. By utilizing large language models and continuous fine-tuning, Teleskope can identify the data subject and differentiate between customer types, such as doctors and patients.
As a new player in the data security field, Teleskope has attracted support from industry experts like Graham Brown, managing partner at Lerer Hippeau. Brown believes that the founders’ extensive experience as security-focused software engineers, including military backgrounds, brings a fresh perspective to the industry. Teleskope’s developer-centric approach and strategic use of AI position them to become the industry-leading platform for protecting and securing customer information.
Teleskope has also assembled a team of advisors, including industry veterans like Doug Dooley, Chief Operating Officer of Data Theorem, Abby Kearns, former CTO of Puppet, Sathia Narayanan Mahadevan, Head of Privacy and Assurance at Reddit, and Nancy Wang, Director of Engineering for Data Protection and Security at Amazon Web Services. Their expertise further strengthens Teleskope’s ability to provide effective data security and protection solutions.
Customer testimonials highlight the value of Teleskope’s platform. Nick Cobb, VP of Engineering and Product at Kyte and former Uber senior infrastructure manager, praises Teleskope for streamlining compliance and security processes. Through Teleskope’s accurate data classification and integration with existing workflows, engineers can automate compliance tasks, saving valuable time and resources.
Teleskope boasts the capability to monitor cloud data stores and third-party vendors within minutes, providing a comprehensive inventory of assets and identifying security and compliance risks. Its advanced classification engine, powered by a large language model and rules engine, adapts to each unique data store, offering actionable context on sensitive data. Teleskope supports structured and unstructured data stores across popular cloud platforms, identifying over 100 data types.
Teleskope not only enforces compliance requirements and remediates security vulnerabilities but also allows developers to implement custom security or privacy protocols through open APIs. The platform is capable of scaling to petabytes of data with predictable and cost-effective pricing.
By leveraging AI and automation, Teleskope sets itself apart as a comprehensive data security and protection solution. With its unique capabilities and ability to address the challenges faced by organizations in maintaining data security, Teleskope is poised to become a leader in the industry.