From alert overload to governed auto-remediation: closing the gap between detection and action 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.
Speakers
Lock Langdon
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