That's not our line. It's the closing argument of SACR's new Data Loss Prevention report, and it's the right call.
For thirty years, DLP strategy has meant regex, chokepoints, and a quarterly ritual of tuning policies to keep the false positive rate below "intolerable." That worked when the enterprise controlled the network, the devices, and where data could go. None of that is true anymore. SaaS sprawl, cloud data gravity, and AI runtimes have invalidated every assumption DLP was built on. SACR report's thesis is direct: DLP is being rebuilt into a discovery-led control plane, with native automated remediation and audit-grade evidence at the center of the architecture.
We agree. We built Teleskope for exactly this moment.
A few things about the SACR analysis that struck us as exactly right.
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The "Ticket Factory" framing is the right diagnosis
The report names a pattern every CISO recognizes. Legacy DLP strategy turns the SOC into a ticket factory. Analysts spend their days bulk-closing alerts on business-as-usual activity instead of actually reducing risk. SACR puts a number on it. Nearly one-third of all security alerts are false positives, and legacy DLP classification approaches are a primary offender.
That's not a tuning problem. It's an architectural one.
The fix isn't more detection. It's a classification that understands business context, and remediation that closes the loop without a human in the queue.
Intelligence Plane plus Enforcement Plane is the right architecture
SACR's framework cuts modern DLP strategy into two layers. An Intelligence Plane that handles discovery, classification, context, decisioning, and evidence. An Enforcement Plane that executes the action across SaaS APIs, inline gateways, browser sessions, and endpoints. The two have to operate as a single control plane, not a stack of disconnected tools.
This is what most "DSPM with workflows" platforms still miss. Discovery and enforcement live in different products, connected by tickets and integrations. The gap between detection and action is where risk accumulates. The control plane model closes it.
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Native remediation is the line that matters
SACR report draws a sharp line between native remediation and remediation by integration. Sending a finding to ServiceNow or Jira is not remediation. Calling an external SOAR workflow is not remediation. Those are handoffs. The exposure is still open while the ticket sits in a queue. Any DLP strategy that relies on handoffs isn’t a strategy: it’s a delay.
Teleskope's remediation runs in the same platform that classifies the risk. Revoke a public link. Redact a sensitive fragment. Quarantine a file. Delete a stale record under the retention policy you already wrote. Same session, no ticket, full audit trail. SACR's profile names this as our center of gravity, and it's the right call.
The AI runtime is the next frontier, and it's already here
The report's most forward section is on AI runtime DLP. Prompt inspection, output redaction, tool-call governance, and chain-of-custody for agent actions. This is not theoretical. The report cites AI adoption at 73% of enterprises in 2026, while real-time security governance for AI is at 7%. The gap is the most expensive infrastructure deficit in security right now, and any DLP strategy needs to account for it.
Teleskope is one of four OpenAI-approved partners for conversation message logs in the Logs Platform. That means real-time sensitive data detection and remediation for AI agent conversations is already running in production, not waiting on a roadmap slide.
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What it means for CISOs
SACR's takeaway on our profile names the buyer scenario where Teleskope shortlists best: when the primary challenge is sensitive data sprawl and slow or manual cleanup, and when the team is ready to grant the permissions needed for enforceable connector actions.
We'd add one thing. The Great Reset is not a future state. It's already underway in every customer environment we deploy in. The CISOs who are getting it right are the ones who stopped buying visibility and started buying outcomes. They treat remediation depth, automation guardrails, and evidence quality as the criteria that matter, not the alert volume.
DLP is dead. The data control plane is the work.
You can read the full SACR report here.
