Agentic Endpoint Security

Govern every AI agent,
‍secure every connection and action
on the endpoint.

Agentic AI:
The New Endpoint Attack Surface

Modern AI agents run on employee endpoints with credentials, memory, skills, tools, and MCP integrations.
Autonomously spawning sub-agents, sharing context, and making decisions without human intervention.

Pre-AI era security tools are blind to
agentic AI tools, actions, and behaviors

Don’t wait for a malware to execute only to realize you can’t see where it came from:
rogue agent behavior, external attacker, or poor employee prompting.
Threats
Prompt injection
The social engineering of the AI world
Data exfiltration
Sensitive data and credentials exposed
Rogue agents
Good agents gone bad
MCP compromise
Compromise by connection
Security Challenges
No visibility
Which agents are running, where and how
Shadow AI
AI tools and models that security never approved
Personal accounts
Your employees’ private AI, your organization’s risk
AI policies on paper
Governance that never leaves the slide deck

Secure the Entire Agentic Fabric Across Your Endpoints with Backslash

Backslash continuously discovers every aspect of the agentic fabric on your endpoints. It maps every agent's full context layer as a connected graph, analyzing every component and combination, identifying risks, enforcing policies, 
and inferring intent before and during runtime.

Discover
Assess
Govern
Protect
Investigate
Discover

Complete visibility into your AI agent ecosystem

See every AI agent operating across your endpoints. Continuously revealing and mapping all AI agents and their skills, hooks, rules, plugins and connectors - across file systems, processes, runtime behaviors, APIs, and agent interfaces.
Assess

Continuous AI Risk Analysis

Identify agentic security risks before they become incidents. Backslash evaluates all elements of the agentic fabric in real-time against OWASP and MITRE ATT&CK frameworks and AI-specific threat models, identifying prompt injections, network exposure, supply chain poisoning and configuration drift.
Govern

Adaptive Policy Enforcement

Block unapproved AI agents and assets on the endpoint. Start with built-in best practice policies, customize to your risk appetite and requirements, and see policies adapt as new risks emerge.
Protect

Real-Time Protection

Stop malicious agent activity as it happens. Backslash continuously monitors the AI fabric with real-time usage telemetry, verifying agent behavior and intent against expected patterns, and blocking risky agent actions inline before they can cause damage.
Investigate

Forensic-ready Audit Trail

Reconstruct the kill chain. Capture full tracing of agent prompts, processes and actions, giving security teams a complete audit trail to support forensic investigation, incident response, and compliance.
Backslash gives us full visibility and governance over our evolving AI coding ecosystem, helps us triage what actually matters, and never gets in the way of velocity.
Chris Niggel, Head of Security
Turn the lights on
Move from "we think our developers are using DeepSeek" to a live map of every AI tool, model, MCP, and integration in use.
Eliminate Shadow AI
Policy enforcement moves from a document that developers ignore to a centralized control layer. Shadow AI drops to zero for governed tooling.
AI audit-ready
For EU AI Act, NIS2, DORA, and SOC 2 obligations, Backslash generates the evidence of AI governance controls and events tracing automatically.
Be the Dept. of YES
Developers and workforce users adopt AI tools freely, enabled with guardrails — achieving significant efficiency gains without the exposure.

From the first agent to the last endpoint,
nothing operates in the dark

Get a Demo

Common questions about agentic endpoint security

What is Agentic Endpoint Security?

Agentic Endpoint Security protects the agentic fabric on the endpoint: where AI agents execute code, access enterprise data, communicate with external services, and make autonomous decisions.

Why aren't traditional EDR security tools enough?

Traditional EDR solutions are built to detect known malware and suspicious operating system processes. They are completely blind to AI-native contexts and the agentic fabric, including models, agent behavior, custom Skills, MCP tool calls, and indirect prompt injection attacks.

What does Backslash discover on the endpoint?

Backslash continuously discovers AI agents, Skills, MCP servers, hooks, rules, plugins, prompts, tools, local models, and runtime behaviors across every endpoint in real-time.

Can Backslash detect Shadow AI?

Yes. Backslash discovers unauthorized AI models and agents, personal AI accounts, locally installed AI tools, and unsanctioned AI workflows running across employee devices.

Does Backslash block malicious AI behavior?

Yes. Backslash monitors runtime activity and blocks risky actions such as data exfiltration, unauthorized tool execution, prompt injection, and policy violations before damage occurs.

Does Backslash provide forensic visibility?

Yes. Backslash captures detailed audit trails of agent activity, prompts, actions, and execution history to support incident response and compliance investigations.

Does Backslash replace EDR?

Backslash complements existing EDR solutions by providing visibility and protection specifically for AI-native attack surfaces.

Which AI agents are supported?

Backslash supports all modern AI coding assistants, CLI agents, desktop AI applications, and continuously expands coverage as new agent frameworks emerge.

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