AI Security Posture Management

Keep agent actions
aligned with intent.

Map agent access, permissions and behavior to prevent drift and minimize risk with an agent-powered platform built to scale.

Claude
Copilot
n8n
Glean
Codex
AWS
Ramp
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user.eng
bot.ops
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withwings
context layer
// context.graph
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policy armed
Build your agent security layer

Deploy the right security agent for your organization's risk.

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wing://agents/deploy
// selected.agentobservability

Observability Agent

class.security-agent

Learns your organization's agent context and maps identities, access, actions, owners, and root cause across connected environments.

learns
identities, access, actions, owners
monitors
behavior across connected environments
acts on
produces contextual root-cause graphs
The problem

Agents don't just exist. They act.

Every agent your teams deploy reaches across identities, tools, and data. Traditional posture tools count them. Generic AI governance describes them. Neither one understands your organization, monitors behavior, or enforces control when it matters.

err.01

Agents act, they don't just exist

AI agents make calls across identities, applications, and data at machine speed and machine volume.

err.02

Posture inventory misses context

A static list of agents doesn't tell you what each one is doing, who owns it, or whether it's inside policy.

err.03

Generic governance lacks teeth

Policy documents don't enforce themselves. Without contextual control, risk turns into incidents.

Cross-platform risk

Risk lives in the chain, not in any single layer.

  1. 01

    Agent

    An n8n workflow, a Copilot, a custom LLM service.

  2. 02

    Identity

    The credential or service account it operates as.

  3. 03

    Access

    The tools, scopes, and data it can reach.

  4. 04

    Action

    What it actually does, in practice.

  5. 05

    Org context

    Owner, policy, business workflow, blast radius.

Control

Take control with agents that learn your environment.

Wing deploys security agents that learn how your organization works, monitor agent behavior in context, enforce approved controls, and respond before small gaps become major incidents.

How Wing works

Posture, plus the operating layer that makes it real.

01step

Discover

Complete inventory of connected agents across n8n, Copilot, Claude, Glean, and other platforms.

02step

Learn context

Map your tools, identities, owners, policies, workflows, and expected behavior.

03step

Map access

Understand which agent reaches which identity, scope, and data path.

04step

Monitor behavior

Track what agents actually do in context, not just how they were configured.

05step

Enforce policy

Trigger approved enforcement actions when access or behavior moves outside policy.

06step

Mitigate & notify

Reduce exposure, route context to the right team, and guide the next response step.

Proprietary layer

The layer between posture and action.

layer.01

Context Agents

The contextual learning mechanism that interprets every agent inside your organization.

layer.02

Wing Context Layer

The organization-specific learning surface that powers every Wing agent.

layer.03

Agent Sonar

Continuous agent observability: see access, behavior, and root cause.

Capabilities

Deploy the security agents your AI agents require.

AI Security Posture Management with contextual learning and deployable observability, control, detection, enforcement, mitigation, and notification agents.

cap.01

Observability Agent

Continuously discover, inventory, and map every AI agent, identity, and connection across your environment.

cap.02

Control Agent

Continuously evaluate every agent's identities and permissions against policy, flagging drift before it becomes a violation.

cap.03

Detection Agent

Analyze agent behavior and identity signals to catch suspicious activity and emerging threats.

cap.04

Enforcement Agent

Trigger approved enforcement actions when agent access or behavior moves outside policy.

cap.05

Mitigation Agent

Reduce exposure and initiate response when unauthorized access or risky behavior emerges.

cap.06

Notification Agent

Route agent-specific alerts, ownership, business context, and next steps to the right team.

Category differentiation

Posture tools show risk. Wing deploys agents that understand and enforce control.

Capability
Legacy posture tools
Generic AI governance
Wing
Inventory of AI agents
Organizational context
Continuous behavior monitoring
Approved policy enforcement
Owner routing & next-step guidance
Root-cause across identities
Built for

The teams operationalizing AI safely.

team

SOC & exposure teams

Prioritize agent risk with organizational context, root cause, enforcement status, and next-step guidance.

team

Risk & AI adoption teams

Scale AI agent adoption with security agents that understand your policies, workflows, and risk model.

team

MDR & MSSP teams

Add contextual agent observability, enforcement insight, and access-risk context to managed detection and response.

In the field

Security teams ship faster with Wing.

"
One of the most interesting time-to-value stories we have with Wing is deploying into organizations and suddenly being able to inventory all of the AI components employees are using.
Mike Scutt · VP MDR Security Ops, At-Bay
"
The data coming out of Wing is more powerful because I can actually stitch different signals together and understand what's really happening, not just see isolated events.
Ryan Kelch · CISO, Monte Carlo
Carrefour
At-Bay
Apollo
Driivz
Doxim
Tripledot
Monte Carlo
Electra
accessiBe
Billie
Elco
Covenant Eyes
Carrefour
At-Bay
Apollo
Driivz
Doxim
Tripledot
Monte Carlo
Electra
accessiBe
Billie
Elco
Covenant Eyes
Get a demo

Ready to deploy agent-based security?

Get a demo to see how Wing deploys contextual security agents that learn your environment, monitor behavior, enforce policy, notify owners, and mitigate agent-based risk.