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May 4, 2026
AI-Powered SSPM: CASB Neural Gets an Upgrade
You open your SSPM dashboard and see 340 third-party apps connected to your Microsoft 365 tenant. Where do you start? AI-powered SSPM insights turn raw OAuth data into prioritized, actionable risk decisions in under a minute.
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CASB
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Shadow IT
March 26, 2026
Blocking Personal Claude Accounts: Cloud Application Control for Enterprise Claude Users
Claude went from an interesting demo to daily work tool fast. Your employees are using it on personal accounts your company has no visibility into. Here’s how dope.security’s Cloud Application Control fixes that.
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August 31, 2026
6 Obsidian Security Alternatives for SaaS and AI Security in 2026
Six Obsidian Security alternatives compared for SaaS and AI security in 2026, including dope.security, AppOmni, Falcon Shield, Valence, Reco, and Nudge.
August 31, 2026
7 Questions for Your Obsidian Security Evaluation
A fair buyer checklist for an Obsidian Security evaluation: deployment, data sources, telemetry coverage, inline enforcement, scope, and total cost.
August 26, 2026
Data Minimization Dies at the Upload Button
Data minimization is written as a collection rule and broken as an egress event. Every file and prompt an employee hands a third party expands the footprint your policy just shrank. dope.security enforces minimization where it actually fails.
August 26, 2026
Typosquatting Is a Domain Game You Cannot Win
Typosquatting defense is usually a registry arms race: buy the variants, watch the feeds, block the list. The damage happens inside TLS on a laptop. dope.security inspects at egress, on the device, where the credential actually goes.
August 26, 2026
Data Sovereignty and the Cross-Border Transfer Nobody Audits
Data sovereignty programs map where data is stored and ignore where it gets decrypted. If a cloud proxy inspects your traffic in a foreign PoP, that is an unreviewed cross-border transfer. dope.security inspects on the device.
August 25, 2026
How to Write a DLP Policy That Actually Blocks Something
Most DLP policies are detection policies wearing enforcement clothes. How to write a DLP policy that names the destination and the enforcement point, not just patterns.
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