Teleskope and GDS Group hosted a CISO roundtable on automation in data security. Asked where their biggest bottleneck sits, five of seven leaders said remediation and nobody said detection. Amy Ryu pushes back on that consensus and makes the case that the real constraint is one step upstream.
Legacy DLP was built for a world where the enterprise controlled the network, the devices, and where data could go. None of that holds anymore. In this independent report, SACR analyst Lawrence Pingree explains why DLP is being rebuilt into a discovery-led control plane, with native automated remediation and audit-grade evidence at its center, and profiles the vendors making that shift real.
Most security platforms stop at a finding. This live demo shows what happens next: Teleskope ingests your actual governance documents, classifies data against your own document types and business context, and closes the loop with native, audit-ready remediation, in the same session where the risk was found. See policy ingestion, self-learning classification, automatic workflow creation, AI-powered triage, and real-time protection against AI tools like ChatGPT and Claude.
Half of security teams still resolve risk manually, even with a full security stack already in place. This research digs into why: alert volume and AI-driven exposure are accelerating, but the real blocker isn't detection speed or a missing feature. It's trust. Read the findings on why remediation stalls, and what security leaders say they'd automate first.
