What AI do we have — and how exposed is it?
Continuous discovery of every AI asset across cloud, endpoint, browser, and code. Understand each agent's supply chain, drift from trusted baseline, and shadow AI reaching your data — before something breaks.
Risk Posture is not a single view. It's continuous coverage across six pillars — each a distinct surface where AI exposure is discovered, assessed, and governed.
AI adoption doesn't wait for procurement. Developers install agents on their laptops, teams sign up for SaaS copilots, engineers spin up MCP servers on their machines — every week. Traditional discovery tools scan on a schedule. By the time they run again, the estate has shifted.
Scan0 discovers every AI asset in your enterprise, continuously — across cloud accounts, endpoints, browsers, and CI/CD pipelines. Every install, every session, every model version, every MCP server. Fleet-wide.
An AI agent is never one thing. It's a foundation model, a set of toolsets, a knowledge base, a framework, an identity, and a chain of downstream calls. Risk hides in the connections — an over-scoped tool, a stale model, a knowledge base with public data, a gateway with weak guardrails.
Risk Posture maps every agent's full supply chain — models, toolsets, knowledge, gateways, and data sources — and evaluates risk at each edge. When something in the chain changes, you know before it propagates.
AI environments don't stay still. A trusted baseline this morning becomes a different attack surface by afternoon — a new MCP command, an approved shell hook, a widened OAuth scope, a hidden character injected into a rules file.
Risk Posture continuously compares the current AI environment to a trusted baseline — and surfaces every drift, mapped to the surface it changes, with recommended remediation. Not just anomalies. Specific, indisputable changes with technical context.
MCP is where agents earn their power — and where authority sprawl begins. A local Postgres MCP server. A GitHub connector installed from a community catalog. A Slack MCP with authorization to post. Most enterprises can't answer a basic question: which MCP servers are running, on which endpoints, connected to what?
Risk Posture inventories every MCP server on every endpoint — sanctioned and shadow — and assesses each for tool authority, catalog compliance, exposure, and known vulnerabilities. From protocol poisoning to command injection to unauthenticated servers.
Shadow AI is not a policy failure — it's a discovery failure. Employees paste code into consumer LLMs, browsers connect to personal ChatGPT accounts on corp devices, marketing teams spin up SaaS copilots without IT, developers grant OAuth scopes to community agents.
Risk Posture surfaces every unsanctioned AI touching corporate data — across desktop, browser, cloud, and SaaS. Each with the identity behind it, the data path it touches, and a one-click path to sanction, block, or investigate.
Every AI deployment is a set of configuration choices — routes, policies, JIT trust settings, CI/CD guardrails, remediation paths. Get them wrong and the attack surface widens; get them right and enforcement follows. But nobody is auditing them continuously.
Risk Posture scores your full AI configuration posture in real time. Not a monthly report — a live score, categorized by the six pillars, with mitigation workflows for every gap: one-click routing through proxy, JIT trust enrollment, CI/CD remediation.
Continuous, pre-runtime. Sits alongside AI Workload Security and Agentic Runtime Protection — three products, one platform.
Deploy in your VPC. Continuous. Sovereign. No data leaves your environment.