Teleskope Launches Prism for GenAI-Driven Enterprise Data Security

Teleskope, the company redefining data security for the AI era, today announced the launch of Prism, a GenAI-powered summarization and categorization capability that provides unmatched visibility, control, and precision over the vast volumes of unstructured data organizations manage today.

Built to tackle the growing challenge of enterprise data sprawl, especially in consumer-facing and highly regulated industries, Prism moves beyond element-level classification, such as SSNs, tokens, or credentials, to group and classify sensitive data at the business level, such as contracts, employment documents, and IP-related materials. This enables organizations to truly understand what their data means, not just what sensitive elements it contains. By automatically surfacing, summarizing, and categorizing key business data across cloud environments, Prism empowers organizations to prioritize risks, remediate effectively and automatically, and confidently prepare data for AI use.

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“Security and privacy teams today aren’t just overwhelmed by the sheer volume of data; they’re challenged by a critical lack of context that makes it nearly impossible to prioritize and act effectively,” said Elizabeth Nammour, Founder and CEO, Teleskope. “Prism fills that gap by delivering a deeper layer of meaning through the fusion of advanced classification techniques, secure GenAI-powered summarization, and scalable clustering. This powerful combination enables organizations to move beyond surface-level visibility, gaining true business-level intelligence about their data. With Prism, teams can quickly pinpoint what data matters most and automate remediation, empowering enterprises to respond faster, reduce risk more efficiently, and accelerate secure AI adoption at scale.”

Backed by Teleskope’s industry-leading classification engine, Prism uses a combination of proprietary models and fine-tuned open-source large language models (LLMs) to generate secure document summaries without ever exfiltrating customer data or exposing it to third-party systems. Summaries are redacted, embedded in a vector space, and clustered by semantic meaning, laying the groundwork for high-fidelity policy enforcement, enterprise search, and automated remediation.

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With Prism, organizations can:

• Customize remediation actions based on document type and business sensitivity, e.g., removing third-party access to all documents categorized as "legal contracts”
• Prioritize risks more effectively with classification that understands both data sensitivity and enterprise importance
• Enable safer AI adoption by isolating appropriate training data for internal models, agents, or copilots while filtering out sensitive or low-value content

Prism is also designed to power the next generation of capabilities in the Teleskope platform, including natural language policy building, recommendation-based remediation, and support for multimodal data formats such as images and audio files.

“This new capability empowers us to make smarter decisions, faster. Prism builds on everything we already value about Teleskope — the automation, the precision, the visibility — and adds a deeper layer of intelligence," said Arjun S., Principal Product Manager, GoodRX. "We're better equipped to prioritize risk, cut through noise, and move forward with confidence on strategic initiatives through the use of Teleskope."

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Teleskope is the only data security platform to surface deep and accurate insights into data risk across a company’s data footprint, and take automated action to remediate issues as soon as they arise. Powered by small language models (SLMs) and generative AI, Teleskope continuously scans, catalogs, and classifies data in-motion and at-rest across on-prem, cloud, and SaaS environments while analyzing access and risk and automating policy-based actions, enabling security teams to not only detect risk but resolve it efficiently and at scale.

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Source – businesswire