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Backslash Security

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What is Native?

Native functions as a cloud security control framework designed to help organizations create, implement, and maintain security policies across diverse cloud ecosystems, including modern AI infrastructures. The main goal is to provide inherently secure governance, enabling teams to oversee the provisioning, access, and management of AI services alongside cloud resources seamlessly. Users can specify their security goals, which Native adeptly converts into the necessary technical safeguards customized for each cloud provider, thus eliminating the need for manual interpretation of best practices or individual policy setups across multiple environments. In addition, Native bolsters risk management through extensive visibility and planning tools that support asset discovery, change simulation, and the application of controls to reduce risks and minimize potential damages across systems. Furthermore, it features advanced capabilities such as environment segmentation, data perimeter protection, and strategies for managing blast radius containment, which collectively enhance an organization’s security framework. This comprehensive integration of features not only streamlines cloud security management but also fosters an adaptive security culture within the organization. Overall, Native stands out as a pivotal resource for organizations striving for robust cloud security.

What is Backslash Security?

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.