Home
Tech Grid
News Room
Interviews
Think Stack
Articles
  • Enterprise AI

Security Teams Don't Automate Remediation Due to Trust Gap: Study


Security Teams Don't Automate Remediation Due to Trust Gap: Study
  • by: GlobeNewswire
  • |
  • August 31, 2026

Teleskope, the industry-first agentic data security platform that resolves data exposure instead of just flagging it, today released The Alert-to-Remediation Gap, an original research report based on a survey of CISOs and senior security leaders. The report finds that security teams are not struggling to detect risk. They are struggling to decide what to do about it, and that decision gap is getting wider as AI adoption accelerates.

Findings describe the security industry at large, not Teleskope's own customers, and point to trust as the core barrier to automated remediation despite rising alert fatigue and data sprawl.

Quick Intel

  • 70% rank AI data exposure or sensitive data sprawl as #1 operational risk for next 12 months, ahead of identity and cloud security.
  • 50% describe remediation as mostly or fully manual despite mature security stacks with SIEM, IAM, and EDR/XDR.
  • Average team reviews 195 alerts daily, with critical issues taking over an hour to resolve and 43% carrying backlog after a week.
  • 0% report fully automated remediation workflow; 77% use basic automation requiring human action.
  • Roughly 1 in 3 leaders cite trust, ownership, or missing context as top remediation challenge to eliminate overnight.
  • Study fielded via Wynter June 26 to July 2, 2026 with 30 security decision-makers, none current Teleskope customers.

AI Data Exposure Ranked Top Risk While Remediation Remains Manual

Security teams say the risk they're least prepared for is also the one growing fastest, and most are still resolving it by hand. Seventy percent of respondents name AI data exposure or sensitive data sprawl as the biggest risk to their organization over the next year, ahead of identity, cloud security, regulatory compliance, and third-party risk combined. Half describe their remediation process as mostly or fully manual, even though the same organizations run mature security stacks.

The report also models what that gap means in practice. The average team reviews 195 alerts a day. Even if a conservative 5 percent of those turn out to be critical, that is already about 10 alerts. At the survey's typical handling time, just those add up to a full workday for a lean three-person team before the high and medium queue is even opened.

Critical incidents often take hours to resolve, not minutes. Sixty-three percent of critical and high-priority issues are triaged and remediated in under four hours, with the vast majority taking over an hour. Forty-three percent of teams still carry more than 5 percent of high-priority alerts unresolved a full week after they were flagged.

Detection Was Never the Hard Part, Trust Is the Blocker

The research points to the conclusion Teleskope has built its platform around: visibility alone does not reduce risk. Ninety percent of surveyed organizations already run a SIEM. Eighty-three percent run IAM and EDR/XDR. Sixty-seven percent run a dedicated DLP tool. Those tools answer "something happened, here it is." None of them answer what the data is, who owns it, or whether the organization trusts an automatic response enough to let it run.

Roughly one in three leaders point to trust, not tooling, as the thing they'd fix overnight. Seventy percent agree alert fatigue significantly limits their team's ability to respond, with an average rating of 5.0 out of 7. Zero percent report a fully automated remediation workflow.

"Every tool in this space can tell you where your sensitive data sits. Half the leaders in this report are still deciding what to do about it by hand," said Elizabeth "Lizzy" Nammour, founder and CEO of Teleskope. "That's the exact gap I lived at Airbnb, and it's the reason Teleskope exists."

"As a customer, we've seen Teleskope cut through alert fatigue and actually fix issues, auto-detecting sensitive data, adding the right context, and triggering smart remediation across different stacks. This is what modern data security should feel like," said Zain Ahmed, Staff Data Security & Privacy Analyst at Careem.

The Alert-to-Remediation Gap is available for download, with Teleskope set to share a separate look next week at what this automation curve looks like inside its own customer base. The company's platform offers continuous discovery and classification, Data Reasoning Layer, native automated remediation, Policy Builder, and real-time data security across Slack, OpenAI, and Claude.

 

About Teleskope

Teleskope is an agentic data security platform that automatically resolves data exposure, not just finds it. Powered by the Data Reasoning Layer, Teleskope continuously discovers sensitive data, determines the appropriate action based on each customer's policies, and enforces that action natively across on-premises, cloud, SaaS, and AI environments. Teleskope competes in the Data Security Posture Management (DSPM) and Data Loss Prevention (DLP) categories. Customers include Ramp, Chevron Phillips, Notion, Polymarket, GoFundMe, and The Atlantic. Teleskope was founded in 2022 by Elizabeth “Lizzy” Nammour, a former Airbnb data security engineer, and is headquartered in New York City. The company is backed by Primary Venture Partners, M13, and Lerer Hippeau, and raised $32 million.

  • AI AdoptionRemediation GapDSPM
News Disclaimer
Want to reach B2B tech decision-makers through TechIntelPro? Get our Media Kit
  • Share
Enterprise Tech News