enclave.ai

What It Is

Enclave is an AI Code Security platform from Enclave AI Inc. Rather than producing a generic vulnerability inventory, it aims to “understand your environment” and highlight only vulnerabilities that are actually exploitable in the current code context. The service is available through a web interface, downloadable app, API, and Workspace, and is designed for development teams to organize and assess different codebases.

Core Capabilities

In terms of protection type, Enclave is an AI-driven code security and attack surface analysis tool. Its workflow has three steps: first, it maps a codebase into security-relevant areas such as authentication, APIs, admin panels, uploads, jobs, OAuth, real-time services, and more; next, users select specific components through a Campaign and add priorities or threat context for deeper analysis; finally, it outputs validated findings, including exposed entry points, affected files, severity, exploit paths, technical details, and remediation guidance that can be handed off to engineers or coding agents. For management, it supports Workspaces and authorized users, but the available text does not clearly mention ticketing, SIEM, Slack/email alerts, or similar integrations.

Pricing and Deployment

Pricing appears to follow a tiered model, with both free and paid options, while enterprise agreements can be negotiated separately. Specific pricing, usage quotas, private repository limits, and feature boundaries were not present in the captured text. Payments may be processed through Stripe. On the deployment side, Enclave explicitly offers web, app, API, and workspace access, but it does not state whether self-hosted deployment, VPC deployment, data residency, or local models are supported.

Pros and Cons

Its main advantage is its focus on attack surface and exploitability, which in theory can reduce the false-positive noise common in traditional SAST tools. The Campaign mechanism is well suited to targeted reviews of high-risk modules. Findings include exploit context and remediation handoff information, making them closer to real development workflows. The limitation is that public information is still sparse: compliance certifications, SLA, audits, fine-grained permissions, and a concrete integration list are not disclosed. The terms also make clear that AI output may be inaccurate, incomplete, or misleading, so teams must validate results themselves. Customer data may be used for training and improvement with consent, so enterprises should carefully assess code privacy implications.

Best Fit and Access from China

Enclave is better suited to SaaS, internet, and open-source project teams that already have some development security process and want to embed security review into their release cadence. Organizations with strict compliance requirements, sensitive code, or a need for localized/on-premise deployment should first confirm data processing boundaries through a demo and security questionnaire. Access from mainland China and local payment support are not specified in the available text and are therefore assessed as “unknown.” If access, payment, or compliance becomes a constraint, alternatives to compare include Snyk Code, GitHub Advanced Security, Semgrep, Checkmarx, Veracode, and domestic code security products in China.