
AI Security
With Wings
Discovers and governs AI agents, mapping identities, access, and behavior to enforce policy.
With Wings Overview
What it does
With Wings is an AI Security Posture Management (AISPM) platform that secures the AI agents, copilots, and automations running across an organization's tools. It addresses agent sprawl, over-privileged agent identities, and unmonitored agent behavior by pairing posture inventory with an enforcement layer. Its differentiating mechanism is the Wing Context Layer, an organization-specific learning surface that maps each agent's identities, access, owners, and expected behavior so controls reflect how the organization actually operates rather than a static inventory.
How it works
The platform deploys six security agents (Observability, Control, Detection, Enforcement, Mitigation, and Notification) on a shared control plane with five modules covering discovery, identity, policy, orchestration, and audit. It fingerprints every agent, model, and credential across platforms such as Copilot, Claude, and n8n, scores risk by data sensitivity and scope, applies declarative policy at the prompt, tool call, and data edge, and keeps a replayable audit trail with seven-year retention. Coverage spans 180+ native integrations, and the Agent Sonar component provides continuous observability of agent access, behavior, and root cause.
Credentials and traction
SOC 2 Type II and ISO 27001 certified. The platform is used by security teams at Carrefour, At-Bay, Monte Carlo, accessiBe, and Covenant Eyes, with published testimonials from At-Bay's VP of MDR Security Operations and Monte Carlo's CISO. It targets SOC and exposure management teams, risk and AI adoption teams, and MDR and MSSP providers operationalizing AI agents in production environments.
Key Capabilities
mapped to solution categoriesAssesses the identities and service accounts that AI models, pipelines, and agents use, flagging over-permissioned non-human identities and access paths that violate least privilege. Reports identity risk as a posture finding, distinct from enforcing access policies at the model API at runtime.
Automatically discovers AI models, LLM API connections, ML pipelines, and AI-enabled SaaS applications in use across the organization, including those deployed without IT authorization.
Discovers and enforces least-privilege access for non-human and AI-agent identities across systems and data.
Scores deployed AI models by risk level based on data sensitivity processed, deployment scope, capability classification, and applicable regulatory requirements.
Monitors AI-agent behavior at runtime to detect anomalous or malicious actions and policy violations.
Compliance
certificationsIntegrations
compatible toolsImplementation & support
Info last updated on August 17, 2026
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