A new industry study finds alert fatigue rising alongside AI adoption and data sprawl, even as most security teams keep resolving it manually. The reason isn't a lack of tooling. Roughly one in three leaders point to trust, not tooling, as the thing they'd fix overnight. Findings describe the security industry at large, not Teleskope's own customers.

New York, NEW YORK, Aug. 26, 2026 (GLOBE NEWSWIRE) -- 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.

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. Those tools were built to detect and monitor. None of them, the survey finds, were built to close the loop between finding a risk and fixing it.

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. 

The survey traces the growing alert-to-remediation gap to two forces: how many alerts teams face, and how slowly each one gets triaged and resolved once it does.

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. That sounds fast, until you remember what created the exposure in the first place, a prompt pasted into an AI assistant, a file copied into a new SaaS tool, both instant. With the speed that AI is now generating data risk, teams simply cannot keep up. 

And that time commitment is just to cover the flagship incident, the one getting immediate attention. Forty-three percent of teams still carry more than 5 percent of high-priority alerts unresolved a full week after they were flagged. The survey doesn't say how many stay that way after that. Nobody can say for certain whether a bigger risk is sitting in that backlog, still waiting to be found.

Detection Was Never the Hard Part

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, which the report identifies as exactly where the process breaks down.

Teleskope customers already operate on the other side of that gap. Here's how one describes it:

“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.

Key Facts

  • Report: The Alert-to-Remediation Gap, original research fielded via Wynter, June 26 to July 2, 2026.
  • Sample: 30 security decision-makers holding CISO, VP Security, Director, Head of Security, or Security Manager titles, across SaaS/Software, IT Services, Financial Services, Fintech, and Professional Services. None of the respondents are current Teleskope customers. 
  • Independent research: findings describe industry-wide practices among 30 surveyed organizations, not Teleskope's own customer base.
  • 70% rank AI data exposure or sensitive data sprawl as their #1 operational risk for the next 12 months.
  • 50% describe remediation today as mostly or fully manual.
  • 70% agree alert fatigue significantly limits their team's ability to respond (average 5.0 out of 7).
  • 0% report a fully automated remediation workflow. 77% describe basic workflow automation or AI-assisted recommendations that still require a person to act.
  • Roughly 1 in 3 leaders name ownership, missing context, or a lack of trust in automation, not detection speed or a missing feature, as the single remediation challenge they would eliminate overnight.

Availability

The Alert-to-Remediation Gap is available today for security leaders who want the full data set, methodology, and findings. To download, visit www.teleskope.ai/campaign/the-alert-to-remediation-gap-report-2

“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.”

Teleskope will share a separate look next week at what this same automation curve looks like inside its own customer base.

Teleskope Platform Reference

Platform Capabilities:

  • Continuous discovery and classification across cloud, SaaS, on-premises, and AI environments
  • Context-aware classification engine (built on a hierarchical multi-head architecture)
  • Prism document intelligence (classifies full documents by type and intent rather than field-level scanning)
  • Data Reasoning Layer (Understand, Decide, Enforce)
  • Native automated remediation: inform, redact, quarantine, revoke access, relocate, encrypt, delete
  • Policy Builder and Policy Ingestion (converts existing governance documents into enforceable workflows)
  • Kosmo (natural-language querying, triage, and workflow builder)
  • Real-time data security across Slack, OpenAI, and Claude
  • Audit-grade logging with full event traceability
  • Reversible actions with rollback to prior state
  • Industries Served: Financial services, fintech, professional services, advisory, healthcare, technology, hospitality, manufacturing, media, food and beverage, retail.

Deployment Options:

  • Single-tenant Software-as-a-Service (SaaS)
  • Teleskope-managed in customer's cloud environment (Bring Your Own Cloud)
  • Air-gapped deployment

Compliance and Regulatory Frameworks Supported: GDPR, CCPA, DPDP Act (India), HIPAA, PCI-DSS, SOC 2, ISO 27001, EU AI Act, ISO 42001.

Additional Resources

Teleskope website

The Alert-to-Remediation Gap report

Teleskope on LinkedIn

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.

Press Inquiries

Veronika Andreeva
veronika.andreeva [at] teleskope.ai
https://www.teleskope.ai/