Dope Security CASB Neural vs Octelium

Dope Security CASB Neural is a cloud access security broker for data loss prevention and SaaS security posture management. It uses large language models to identify externally shared files that may contain personal, payment, health, or intellectual property data across Microsoft 365 and Google cloud apps. It detects exposed files in OneDrive and Google Drive, shows who can access them, and lets administrators make them private with one-click remediation. It also finds apps authorized to access Microsoft 365 or Google through APIs. The maker says identification and monitoring work without configuration. Relevant files are downloaded for language-model processing and then deleted; the maker says file content is never stored. Customer web traffic remains on the endpoint instead of going to Dope Security’s cloud for decryption. CASB Neural is available on macOS, Windows, and the web, with API-based deployment. A free trial is available through Google or Microsoft. The SWG plan is free. Pricing for SWG + DLP, SSE+, and SWG + CASB is on request.

Octelium is a free, open-source, self-hosted secure access platform for people, workloads, and AI agents reaching hybrid infrastructure, SaaS, and applications. It places protected resources behind identity-aware proxies and applies authorization policies at the application layer. Listed protocols and services include HTTP, gRPC, web applications, SSH, Kubernetes, PostgreSQL, MySQL, RDP, DNS, SOCKS5, TCP, UDP, MCP, and LLM modes. Cluster Secrets can hold upstream credentials and inject them after authorization, avoiding credential storage by users or workloads. Identity integrations include OIDC and SAML 2.0 providers such as Okta, Microsoft Entra ID, Google Workspace, Keycloak, and Auth0, plus GitHub OAuth2. Native authentication includes FIDO2 and WebAuthn passkeys, TPM 2.0, and TOTP. MCP and LLM gateways govern tool calls, arguments, models, tokens, and usage records. OpenTelemetry-based logs and metrics cover layer-7 activity. Octelium runs on Kubernetes; an installer provisions a single-node Cluster on a fresh Linux server, while larger deployments use managed or on-premises multi-node Kubernetes.