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Unseen usage
You can't name the AI tools running on your endpoints, who runs them, or with what privilege. Discovery stops at the network edge — and the AI lives past it.
Statefold discovers every AI tool your people touch, enforces policy at the kernel — before a single token is sent, governs identity, vulnerabilities and the models themselves across the fleet, and remembers it all in the Hive Mind — your enterprise's own model, answering with a verified fact, a real citation, or an honest "I don't have enough evidence." No external LLM. Nothing leaves the box.
Copilots, chat tabs, IDE assistants, MCP servers and autonomous agents arrive faster than security can review them. The old stack watches files and networks — not a kernel-level view of every AI touchpoint, and nothing that remembers or learns from what it sees.
You can't name the AI tools running on your endpoints, who runs them, or with what privilege. Discovery stops at the network edge — and the AI lives past it.
Anyone can spin up an agent and hand it credentials. Nothing verifies which identity the agent actually belongs to, or stops a quiet exfiltration to a model API.
Prompts, answers, code, vulns and model reviews evaporate. When an incident lands, or an auditor asks, there's nothing to point to — and no intelligence that's actually yours.
Two executables. The agent enforces locally — down to the Windows Filtering Platform — and keeps protecting even when disconnected. The console gives operators fleet-wide discovery, identity, risk, compliance, the Hive Mind and the Swarm — isolated per tenant for MSSPs and global enterprises alike.
Observes every AI surface — proxy, browser, IDE, MCP, Bedrock, clipboard, DNS — and enforces at the kernel, before data leaves the endpoint.
Fleet telemetry, identity, risk and compliance reporting, the Hive Mind and the Swarm — one API, an embedded store, multi-tenant by design.
Every device, identity and AI touchpoint — agents, models, APIs and MCP servers — drillable to one endpoint.
Inline checks on prompts and responses across every surface — allow, alert, redact, block — before data ever leaves the endpoint.
Policy enforced at the Windows Filtering Platform — the kernel network layer no proxy bypass or browser extension can route around.
No agent runs until approved. The agent and its privilege are two separate decisions, each on a 72-hour grant that auto-expires.
A cryptographically-verified registry of every agent identity and the device it runs on — a credential can't be replayed from somewhere it doesn't belong.
Graph-based reachability across the fleet: which exfil-capable, vulnerable agents sit on a path to a crown-jewel device — recomputed fresh, never stale.
Every CVE the fleet carries, per endpoint and per agent, tracked to resolution.
Mitigate a live vulnerability before a real patch ships — scoped safely to the exact process, never a blunt kill-by-name.
Audit endpoint configuration against a secure baseline, at fleet scale, from a CSV your team already maintains.
A tamper-evident audit chain of every governance decision — built to survive an auditor's question, not just a dashboard glance.
Security-controls reporting mapped to RBI's model risk management framework — board-ready, for regulated enterprises.
A registry and review workflow for every AI model in use — validator independence enforced, not just requested.
Scan AI-generated code before it merges — secret leaks, red-team eval suites, OWASP-mapped findings.
See exactly what's protected where, per surface and group — and prove it holds with a built-in red-team catalog.
The giants rent you someone else's model and meter your prompts through it. Statefold gives you your own: the Hive Mind, a small language model exclusive to your tenant. Swarm Intelligence is how it learns — continuously, from how your people actually use AI, entirely inside your perimeter. It flags what's genuinely novel by the actual wording, not just a rare graph relationship. No external LLM, ever — and your data never trains anyone else's model.
The model — and its weights — belong to your tenant. Not a seat on someone else's platform.
It learns inside your perimeter, from your signal alone. Nothing is shipped out to be modelled.
Every release passes a golden-suite efficacy gate — it only ships if it holds or improves.
Semantic novelty detection flags AI activity that reads unlike anything your fleet has produced before — the moment it appears.
Every prompt and question. Every answer, code generation and MCP query. Every vulnerability, virtual patch and model review. It builds a real knowledge substrate — redacted before it's ever stored — and answers in plain language: a verified fact when one exists, a hybrid semantic search across the corpus when it doesn't, or an honest "I don't have enough evidence" rather than a guess.
AI is reached from every surface on a machine. The network sees a slice. The browser sees a tab. The endpoint — down to the kernel — sees all of it — and can act before data ever leaves. That's the only place AI security can truly live.
Detection, policy and governance are decided on-box — never an external model in the trust path. The Hive Mind you grow stays private to your tenant.
The endpoint redacts and blocks before data leaves — at a point no network gateway or browser plugin can reach.
Network policy enforces at the Windows Filtering Platform — a layer no proxy bypass or browser extension can route around.
Fleet sync is additive. Disconnect the endpoint and protection continues — never a dependency for safety.
An agent runs only if it and the privilege it seeks are both approved. Otherwise it's halted and killed.
One console, many isolated client enterprises — separate fleets, policy, ledger and Hive Mind. Built for MSSPs and global org boundaries.
Drop the light agent on endpoints; it self-registers to the console with a scoped, tenant-bound token.
Every AI surface is discovered and classified, attributed to a user, endpoint and privilege.
Approve agents and privileges separately; policy enforces at the kernel, before send.
The Hive Mind remembers it all. Ask in plain language; get a verified answer or an honest "I don't know."
The Swarm teaches your Hive Mind continuously as the fleet works — exclusive to your tenant, gated on every release.
One console, three very different mornings.
Every AI touchpoint across the fleet, the moment it happens — enforced at the kernel, not after the fact.
Board-ready, RBI-mapped model-risk reporting and a tamper-evident ledger — not a spreadsheet reconstructed after the fact.
Approve every agent and privilege separately, govern which models are in use, and ask the Hive Mind anything — grounded, verified, or an honest "I don't know."
See Statefold discover, enforce at the kernel, govern identity and risk, prove compliance, and learn — across your fleet, before it ships.