"Teleskope was the only solution that did everything we needed, from data deletions to vendor coordination and PII detection. The platform has become a staple across our data security workflows."
Teleskope's remediation actions are governed, auditable, and reversible. Before any automation runs at scale, you define the guardrails — what actions are permitted, what requires human review, and what is off-limits entirely. Every action is logged with full context: what was found, why it was flagged, what action was taken, and by what policy. Nothing is permanently deleted without explicit configuration authorizing it.
DLP tools work at the egress point — they try to catch sensitive data as it leaves. Teleskope works at the source — it governs data where it lives, classifies it before it moves, and remediates exposure before your DLP ever sees it. The two work better together than either does alone: Teleskope's classification feeds your DLP with accurate labels, dramatically reducing false positives.
Teleskope covers cloud, SaaS, on-premises, and AI environments — including Google Drive, Microsoft 365, Slack, Teams, SharePoint, OneDrive, and major cloud platforms. Unlike some competitors whose architecture is optimized for cloud-first environments and struggles in hybrid or on-prem deployments, Teleskope operates across your full environment from a single control plane.
Teleskope is designed for a crawl, walk, run deployment model. In the crawl phase, you gain complete visibility into your exposure landscape — typically within days of deployment, not months. From there, you define the policies and guardrails for the walk phase, where automation begins on high-confidence, well-understood use cases. The run phase — where the platform is governing and remediating autonomously — follows as trust in the system builds. You set the pace.
Yes. Teleskope's classification engine goes beyond regex and signature-based matching — it understands business context, document types, and data relationships specific to your organization. It doesn't require predefined patterns to identify what's sensitive in your environment. It learns your environment, which is why it works in custom Salesforce configurations, proprietary CRMs, and homegrown systems where signature-based tools fail entirely.
Every action Teleskope takes is reversible and logged. If a file was incorrectly remediated, it can be restored. The audit trail shows exactly what happened and why — which also satisfies EU AI Act and ISO 42001 requirements for human oversight of automated decisions.
