ZeroPath vs. Backslash Security

ZeroPath is the AI-native SAST that finds vulnerabilities traditional tools miss. We built it because security shouldn't overwhelm developers with noise. Unlike pattern-matching tools that flood you with false positives, ZeroPath understands your code's intent and business logic. We find authentication bypasses, IDORs, broken auth, race conditions, and business logic flaws that actually get exploited and missed by traditional SAST tools. We auto-generate patches and pull requests that match your project's style. 75% fewer false positives, 200k+ scans run per month, and ~120 hours saved per team per week. Over 750 organizations use ZeroPath as their new AI-native SAST. Our research has uncovered critical vulnerabilities in widely-used projects like curl, sudo, OpenSSL, and Better Auth (CVE-2025-61928). These are the kinds of issues off-the-shelf scanners and manual reviews miss, especially in third-party dependencies. ZeroPath is an all-in-solution for your AppSec teams: 1. AI-powered SAST 2. Software Composition Analysis with reachability analysis 3. Secrets detection and validation 4. Infrastructure as Code scanning 5. Automated PR reviews 6. Automated patch generation and more...

The software development lifecycle has undergone a fundamental shift. Across engineering organizations of every size, developers are using AI coding tools — GitHub Copilot, Cursor, Windsurf, Claude Code, Gemini CLI — as a core part of how software gets built. These tools accelerate delivery, but they also introduce a new and largely ungoverned attack surface that traditional security products were never designed to address. Backslash Security was built specifically for this environment. The platform gives security teams comprehensive visibility into the AI coding tools active across their organization, the code being generated, and the risk being introduced before it ever reaches production. This is not a legacy scanner retrofitted for a new market. Every capability in Backslash was designed from the ground up with AI-native development in mind. A critical risk vector is MCP servers — the infrastructure AI coding agents use to connect to external services and data sources. Misconfigured or over-permissioned MCP servers can expose sensitive organizational data to AI models, creating data leakage pathways that are invisible to conventional security tooling. Backslash provides full visibility into MCP server connections, flags over-permissioned configurations, and enforces access controls before exposure occurs. Core capabilities include AI coding tool inventory and policy enforcement, MCP server visibility and over-permission detection, data leakage prevention across AI agent connections, vibe coding security for risk detection in AI-generated code, and continuous monitoring across the full AI coding spectrum. The organizations that need Backslash have already crossed the AI coding adoption threshold. Their developers are moving fast, AI tools are embedded in daily workflows, and security visibility has not kept pace. Backslash closes that gap — giving security teams the control and confidence to let development move at the speed the business demands.