Backslash Security has introduced the Backslash Agentic Fabric Graph, a new visualization and risk assessment capability designed to help enterprises discover, understand, and secure the growing ecosystem of agentic AI running across employee endpoints. The launch also includes a limited-time, agentless AI Endpoint Exposure Assessment, enabling organizations to identify AI security risks and prioritize remediation across interconnected AI agents, MCP servers, skills, hooks, and other AI components.
Quick Intel
Backslash Security has unveiled the Agentic Fabric Graph, an interactive visualization tool that provides security teams with visibility into the rapidly expanding agentic AI ecosystem operating across enterprise workstations and laptops.
The solution helps organizations understand relationships between AI agents, MCP servers, models, skills, connectors, hooks, and other AI components that collectively form the modern "agentic AI fabric." By mapping these connections, security teams can better identify vulnerabilities, policy violations, and potential attack paths before they become security incidents.
The Agentic Fabric Graph replaces disconnected AI inventories with an interactive, filterable visualization that enables security professionals to quickly analyze AI deployments across the enterprise.
Using the graph, organizations can determine which AI agents are deployed, identify employees using OpenClaw or other AI tools, detect risky MCP server connections, locate hooks that may enable data exfiltration, and assess the potential impact of privileged AI skills or unauthorized AI account usage.
The platform also prioritizes remediation efforts by highlighting the AI components that present the greatest organizational risk.
The visualization capability is integrated into the broader Backslash Agentic AI Endpoint Security platform.
Beyond discovery and governance, the platform continuously monitors AI agent behavior using intent-based analysis to identify potentially harmful actions in real time. It is designed to detect and prevent threats including prompt injection attacks, data exfiltration, privilege escalation, compromised MCP servers, and unauthorized AI agent activity before damage occurs.
To help enterprises evaluate their current AI security posture, Backslash is offering a limited-time AI Endpoint Exposure Assessment for organizations managing more than 200 endpoints.
The read-only, agentless assessment maps AI agents, MCP servers, skills, and hooks across enterprise endpoints. Within 24 hours, organizations receive a board-ready security report that includes an AI security posture score, critical findings, and prioritized remediation recommendations.
“Agentic AI usage is skyrocketing, creating a new interconnected ecosystem of AI agents, MCP servers, models, skills, hooks, prompt rules, and connectors on developer and employee desktops – the agentic fabric,” said Shahar Man, co-founder and CEO of Backslash Security.
“This has created new, often hidden paths to credentials, internal systems, code, and business data. The Backslash Agentic Fabric Graph brings full visibility to this new and growing attack surface that is largely unseen by security teams.”
As enterprises continue adopting agentic AI technologies, visibility and governance have become essential components of cybersecurity strategies. With the Agentic Fabric Graph, Backslash aims to help organizations understand, prioritize, and mitigate risks across increasingly interconnected AI environments while strengthening enterprise AI governance and endpoint protection.
Backslash is the Agentic AI Endpoint Security platform protecting enterprise developer and employee endpoints. Backslash empowers security and AI governance teams to accelerate the adoption of AI coding and agentic AI at scale, while providing full visibility, governance, and real-time protection across the new attack surface of interconnected AI coding agents, MCP servers, IDEs, plugins, skills, and hooks. Backslash detects, prevents, and responds to threats, including prompt injection, data and source exfiltration, malicious and compromised MCPs, and abuse of AI agent privileges. For more information, visit https://backslash.security.
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