What is enterprise AI security?

Enterprise AI security is the discipline of securing all the AI running in an organization: agents, models, MCP toolchains, and AI applications, across employee endpoints, cloud and SaaS, and the software the company builds. It spans discovery, runtime defense, red teaming, and governance for AI-specific threats such as prompt injection, tool misuse, and agent privilege escalation.

How is Wingback different from a firewall or DLP?

Firewalls and DLP were built for network traffic and files, not for agents that reason and act. Wingback focuses on agent behaviour: which tools an agent calls, which identities it assumes, and which data it touches, and it enforces inline. It is Agent Detection & Response, not packet or file inspection.

How does Wingback deploy in an enterprise?

As managed SaaS in our AWS regions, dedicated single-tenant in your hyperscaler of choice, or self-hosted in your own VPC via Helm. Sensitive payloads stay inside your network boundary; the control plane sees structured metadata, traces, and policy events. Deployment is forward-deployed: our engineers embed with your team.

Which AI governance frameworks does Wingback support?

Evidence maps to 15+ frameworks including ISO/IEC 42001, NIST AI RMF, the EU AI Act, and the OWASP LLM, Agentic, and MCP Top 10, plus MITRE ATLAS. Wingback is SOC 2 Type II certified and ISO 42001-mapped.

One control plane for enterprise AI

AI has spread across your enterprise faster than any control was built to follow: agents on laptops, in your cloud and SaaS, and inside your own products. Wingback secures all three from one platform, so you have a single answer to “what AI is running, and is it safe?”

Why enterprise AI needs its own security

The actors on your network are no longer just people and services. Many are now agents that reason and take actions on their own. Existing tools each see a slice: endpoint security watches processes, cloud posture inventories infrastructure, AppSec scans code. None of them sees the agent, its tool calls, or the identity it assumed three steps into a workflow. Enterprise AI security closes that gap.

What Wingback covers

Layer	What Wingback secures
Endpoints	Shadow AI and coding agents on laptops: ChatGPT, Claude Code, Cursor, Copilot, local MCP servers, via a browser sensor and native macOS/Windows agents.
Cloud & SaaS	Agentless discovery of Bedrock, Azure OpenAI, Copilot Studio, Agentforce, RAG indexes, and vector stores.
Software	An AI gateway across 12+ model providers, inline guardrails, an MCP gateway, and per-agent policy for the AI you build.

Four things Wingback does

Discover every agent, model, MCP server, and inference path, and score each for risk.
Defend inline with Agent Detection & Response: block, sanitise, throttle, or terminate.
Red-team agents, models, and RAG with an adaptive attacker, 800+ techniques mapped to OWASP and MITRE ATLAS.
Govern with audit-ready evidence for ISO 42001, NIST AI RMF, and the EU AI Act.

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