The Automation Imperative in Data Security

Security teams are overwhelmed by a constant surge of data exposure alerts they can’t remediate fast enough. Hundreds or thousands of daily findings create growing backlogs, where manual triage slows response and risks remain unresolved. DSPM tools have surfaced the problem, but not solved it, while expanding AI usage is introducing new data access and governance challenges that further strain already limited capacity.

Leading organizations are moving beyond detection to automated, context-aware remediation. This means platforms that understand business context, take appropriate action, and enforce it in real time, without adding more queues. At the same time, leaders are establishing governance guardrails for automation, securing data access across tools like ChatGPT and Microsoft Copilot, and embedding workflows to enforce retention policies and reduce legal risk.

Join Teleskope AI and a select group of your peers to explore how to close the gap between detection and remediation, implement automation with the right controls, and secure data in an AI-driven environment—enabling faster response, reduced exposure, and scalable risk reduction.

Teleskope is the data security platform that automatically resolves data exposure — not just finds it. Powered by a proprietary Data Reasoning Layer that understands business context, Teleskope continuously discovers risky data, determines the profile-appropriate action, and enforces it natively across on-premises, cloud, SaaS, and AI environments — without manual triage, without routing to external tools, without a backlog. Unlike DSPM tools that surface findings and stop there, Teleskope closes the loop between detection and resolution. Customers include Ramp, Hard Rock, Chevron Phillips, and The Atlantic. Backed by Primary Venture Partners, Teleskope has raised a $25M Series A.