Agentic AI Endpoints. Secured.

Which AI coding and co-work agents does Backslash secure?

Among others: Claude Code, Claude Cowork, Claude Desktop, Cursor, GitHub Copilot, Devin Desktop (Windsurf), Gemini CLI, Google Antigravity, OpenAI Codex, Kiro, and OpenClaw, plus every MCP server, skill, plugin, and hook layered on top of them. Coverage extends across software developer workstations and citizen-developer endpoints, giving enterprises one place to see, govern, and protect their entire agentic AI fabric.

How do I see which AI tools my developers and employees are actually using?

Backslash inventories every AI agent, MCP server, skill, rule, hook, and plugin in use across your organization, including the ones installed under personal accounts and never reported to IT. You see what's running, who's using it, and where risk is significant. Visibility is the first necessary step to make agentic AI safe to adopt at enterprise scale.

What is shadow AI, and how does Backslash surface it?

Shadow AI is the rapid spread of AI tools,adopted by end-users inside an organization without security oversight. Common examples include developers usingCursor or Claude Code via personal email accounts, citizen-developers chaining MCP servers into daily workflows, and unvetted skills entering the company through marketplace installs. Backslash surfaces every one of them so security teams can govern instead of guess.

How do I keep MCP servers, skills, and plugins safe before they're installed?

Backslash rates every MCP server, skill, and plugin on its security posture and supply-chain risk, then lets you allowlist, blocklist, or require approval before installation. Vet items publicly with the free MCP Server Security Hub and Skills Security Scanner, or apply the same protection across every endpoint through the enterprise platform. It's how security teams say YES to MCP adoption without losing control.

How does Backslash detect prompt injection and data exfiltration threats in real time?

Backslash watches the agentic fabric live and flags or blocks risky behavior as it happens: prompt injection, tool poisoning, scope abuse, data exfiltration, and suspicious agent activity. Real-time protection is the third step of the platform, after visibility and governance, so threats are caught and contained before they reach sensitive data or external systems.

How does Backslash help with compliance audits and forensic investigation for AI agents?

Backslash creates an audit trail of harness-layer events: prompt injection activity, MCP communications, agent network access, and file access. That trail feeds compliance reporting and incident investigation.

How is Backslash different from EDR, DLP, and AppSec tools?

Backslash operates at the agentic fabric layer (where AI activity executes on the endpoint), and that's a layer none of EDR, DLP, AppSec, or network gateways cover. EDR sees processes but doesn't understand AI agents or MCP traffic. DLPs and network gateways sit on the network, but agentic threats happen on the endpoint. AppSec inspects code; Backslash governs the AI infrastructure that creates and runs it.