dope.security vs Obsidian Security: Two Different Views of the Same Data

Your company's data sits in two states at any given moment. It's parked inside a SaaS app, shared with someone who probably shouldn't have it. Or it's moving, out of a browser tab or a desktop app, headed somewhere you didn't approve. Most buyers comparing dope.security vs Obsidian Security are really deciding which of those two states scares them more.

Let's be honest up front: these are not the same product

Obsidian Security is a SaaS and AI security platform. It connects to your applications by API, ingests browser telemetry, and builds a picture of what's configured, who has access, and what's happening inside those apps. dope.security is an agent-based Security Service Edge. A lightweight agent runs on the device, traffic flies direct to the internet, and inspection happens inline on the traffic itself.

Those are different vantage points on the same underlying problem. Obsidian looks into the app. dope.security sits on the path. Neither one is a substitute for the other, and any comparison that pretends otherwise is wasting your time.

So the useful question isn't which product is better. It's where your actual data risk lives, and how many consoles you're willing to run to cover it.

Architecture, side by side

Obsidian's stated approach is API integrations plus browser telemetry, correlated in what they call a Knowledge Graph that maps identity and activity across SaaS apps, browsers, and identity providers. They also describe Data Depth, an Obsidian AI Assistant, self-learning detection models, and Network Effects. On their platform page they publish scale numbers: over 1.5 billion daily events processed, over 59 million unique identities mapped, and over 3.4 thousand monthly threats stopped. That's a lot of signal, and it comes from the four data sources they name: third-party app and AI configs, user activity, real-world threat signals, and browser telemetry.

dope.security works the other way around. dope.endpoint runs on the device in under 100 MB of RAM, native on Mac and Windows. SSL inspection and break/inspect happen locally, so there's no backhaul to a data center and no regional chokepoint. We call it Fly Direct, and it delivers up to 4x the performance of legacy proxy SWGs. Policy pushes land in seconds instead of on a polling interval.

The tradeoff is real in both directions. An architecture that reads app configs and activity after the fact can't stop a file mid-upload. An inline architecture has to be fast enough that nobody notices it, which is exactly why we put the proxy on the device instead of in someone else's cloud.

Data at rest versus data in motion

This is the cleanest way to draw the line.

Obsidian's coverage is oriented around data at rest and the activity around it: SSPM, SaaS ITDR, shadow SaaS discovery, OAuth risk, supply chain security, audit and compliance automation, account takeover prevention, access violations, and excessive privilege management. That's posture and detection inside applications you've connected.

dope.security covers both states, with the emphasis inverted. Dopamine DLP handles data in motion. It's endpoint DLP built into the on-device proxy, watching file uploads and AI prompts. It extracts text from documents, PDFs, and prompts, sends it to the Dopamine DLP API in dopecloud for LLM classification, and returns a verdict in a second or two. No regex. No rule writing. No tuning period. It's covered by US Patent no. 12,464,023, and it runs on OpenAI zero data retention APIs under HIPAA and BAA, so nothing trains on your data and nothing is retained.

CASB Neural handles data at rest for Microsoft 365 and Google, surfacing over-shared OneDrive and Drive files and closing them in one click. Between the two, the same platform sees the customer list on its way out the door and the one already sitting in a folder shared with the internet.

What each one enforces, and where

Obsidian does not claim to be a secure web gateway, an on-device proxy, a URL filtering or anti-malware product, or an inline enforcement point for web traffic. That's not a criticism. It's a scope boundary they're clear about themselves. Their enforcement lives in the app and the identity layer, and their argument is that CASB, EDR, and identity providers each leave a gap that their platform closes. On their platform page they characterize CASB as able to block unsanctioned apps but blind to risky configs and activity inside enterprise applications. That's a fair point, and it's true of most CASBs.

dope.SWG enforces at the moment of the request. SSL inspection, URL filtering, Cloud Application Control, anti-malware, analytics, and Dopamine DLP all run on-device. Cloud Application Control decides which tenant a login lands in: enterprise yes, personal no. There's a fallback mode with cached policies, and an SSL error notification feature that surfaces traffic broken by cert pinning so an admin can build a bypass in a few clicks.

If someone drags a customer list into an unsanctioned upload form, that's an inline event. Only an inline product can stop it before it lands.

SaaS posture: breadth versus depth

Here's where we'll be blunt about our own scope. Obsidian integrates with 200+ enterprise applications, including Microsoft 365, Google Workspace, Salesforce, ServiceNow, GitHub, Snowflake, Databricks, and Workday. On the AI side they list Amazon Bedrock, Microsoft Foundry, Anthropic Claude, n8n, Google Vertex AI, OpenAI, Microsoft Copilot, and Salesforce Agentforce, plus an announced integration with Anthropic's Claude Compliance API. That connector breadth is real, and dope.security does not claim it. If your crown jewels live in Salesforce, ServiceNow, Snowflake, or Workday, Obsidian sees into those apps and we don't.

Our AI-Powered SSPM is scoped to Microsoft 365 and Google tenants. Within that scope, it discovers every third-party OAuth-connected app and analyzes it across four inputs: application metadata including granted scopes, publisher verification, and resource access; usage telemetry including service principal sign-in frequency and recency, resources actually accessed, geographic patterns, and failed auth attempts; external vendor research including company identity, size and funding, SOC 2 status, publisher verification, and reputation; and tenant-level intelligence including tenant and domain resolution, assigned owners, and cross-app permission comparison.

What comes out is meant to be actionable rather than informational. You get a plain-language app summary, a composite risk score across five dimensions, specific key risk findings, two prioritized recommended actions per app (for example, revoke files.readwrite.all and replace it with files.read), and a one-sentence Dopamine insight. Tenant-wide, it surfaces permission debt, stale and abandoned applications, high-value attacker targets, and quick wins against strategic improvements. That's our answer to the visibility-without-action problem of first-generation SSPM: visibility, then intelligence, then action.

Two tenants covered deeply versus 200+ apps covered broadly. Pick based on where your data actually is.

Feature comparison

Console count and operational load

This is the argument we keep coming back to. You can buy the point product and still need a gateway, still need endpoint DLP, still need tenant-level controls. Or you can run one console and one agent across the gateway, the endpoint, the SaaS tenant, and the AI prompt.

Every additional console is a place where alerts pile up, where policy drifts, and where an on-call engineer has to remember which tool owns which decision. Consolidation isn't a feature. It's a headcount question.

The deployment evidence

A Fortune 100 customer went from 900 devices to over 18,000 in a matter of weeks, averaging roughly 3,000 devices per week. Silent deploy through Intune, no manual configuration before install. The free production trial converted straight to paid with no reconfiguration.

The pattern repeats at smaller scale. Outreach Health, a healthcare organization across 34 offices in Texas, Arizona, and Massachusetts, replaced a legacy SWG and took policy changes from days to minutes. Greylock Partners went from first proposal to signed contract in 27 days, replacing Cisco Umbrella. Another Umbrella migration covered 2,000 machines in two days. None of those required a network redesign first, which is the point of putting the proxy on the device.

Where Obsidian is a good fit

If your risk concentrates inside SaaS applications, Obsidian is a strong choice and we'd say so on a call. A sprawling app estate across Salesforce, ServiceNow, Snowflake, GitHub, Databricks, and Workday, with OAuth grants nobody has audited in three years, is exactly the problem they built for. Their identity threat detection and account takeover work sits in a lane we don't compete in, and their AI agent governance covers platforms we don't touch.

Choose Obsidian if, choose dope.security if

Choose Obsidian Security if your data risk lives inside dozens of connected SaaS apps, if you need SaaS ITDR and account takeover prevention, if you're governing AI agents built on Bedrock, Vertex, or Agentforce, and if you already have a secure web gateway you're happy with.

Choose dope.security if your data risk lives on the wire: uploads, AI prompts, unsanctioned apps, and personal logins on managed laptops. Choose us if you're replacing a legacy proxy SWG, if your SaaS posture concern is concentrated in Microsoft 365 and Google, and if you want the gateway, the endpoint, the tenant, and the AI prompt in one console.

If both descriptions fit, run them both. They overlap less than you'd think.

Try dope.security free

Spin up a free production trial and see what your traffic actually looks like. Or book a 20-minute demo and we'll walk through dope.SWG, Dopamine DLP, and AI-Powered SSPM against your environment.