Netskope is a leader in the SSE/SASE category. Its Zero Trust Exchange inspects web, cloud, and private-app traffic inline — CASB for sanctioned/unsanctioned SaaS, secure web gateway, ZTNA, and DLP applied at the network edge. Its DLP strength is traffic in motion on managed paths, at large scale.
DoControl takes the opposite architectural bet: no inline proxy, no agent. It connects to SaaS apps via API and event streams to give visibility, threat detection, and remediation for data exposure, oversharing, insider threats, and shadow apps — modernizing the old CASB/DLP approach specifically for SaaS data governance. Its strength is SaaS data at rest and how it's shared, without touching the network.
The honest framing: Netskope governs the traffic path; DoControl governs the SaaS data plane. One inspects data in motion at the edge; the other inspects data at rest and its sharing inside SaaS. They overlap in name ("DLP") but differ in where they sit — and both leave surfaces uncovered.
Netskope watches the traffic. DoControl watches the SaaS data plane. Strac watches the sensitive data itself, everywhere it lives or moves — and remediates inline. It combines DoControl's agentless-SaaS strength with endpoint, browser, and AI coverage in a single platform, so you don't choose between the network edge and the SaaS plane.
Everything Strac brings to the table:
Netskope is an SSE/SASE platform that inspects traffic inline at the cloud edge (CASB, SWG, ZTNA, network DLP). DoControl is an agentless SaaS Security Platform that governs data access, sharing, and shadow apps inside SaaS via API — no proxy, no agent. Netskope secures the traffic path; DoControl secures the SaaS data plane.
For SaaS data-access governance and exposure remediation without an inline proxy, DoControl is purpose-built. Netskope covers SaaS through CASB but leads with inline traffic control. If you want SaaS-at-rest coverage plus endpoint, browser, and AI in one platform with inline remediation, a data-native option like Strac spans more of the surface than either.
They're complementary more than interchangeable — one is network-edge, the other is SaaS-plane. Many teams run both, which is a sign the coverage is fragmented. A single data-native platform that handles SaaS data at rest, endpoint, browser GenAI, and AI agents can consolidate much of that overlap.
Neither centers on AI-agent (MCP) traffic. Netskope can inspect some GenAI traffic inline from managed devices; DoControl is SaaS-governance focused. Native protection for AI agents — redacting sensitive data inside MCP tool calls — is where AI-first platforms like Strac lead.
DoControl remediates SaaS exposure (revoke sharing, quarantine) via API; Netskope blocks or controls at the edge. For content-level remediation — redacting or masking the sensitive data itself inside files and messages, across SaaS and endpoint and AI — evaluate a platform built remediation-first, like Strac.
Netskope vs DoControl is an architecture choice: inline network edge versus agentless SaaS data plane. Both are strong in their lane and both leave surfaces uncovered — endpoint, browser GenAI, and AI agents chief among them. If you'd rather cover the sensitive data itself across every surface, with inline remediation and compliance evidence in one platform, Strac is the data-native option to evaluate alongside them.
Book a 30-minute demo to see one platform cover the SaaS plane, the endpoint, the browser, and AI — with remediation, not just alerts.
Related: best DLP for SASE · CASB solutions · SaaS DLP · best DLP tools · MCP data security
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