Early Access Helixor Lattice is live with a handful of design partners. It governs what AI agents can access, automatically. Apply →
Helixor Lattice · AI Agent Governance

Govern what your AI agents
can see, touch, and do.

Sleep better at night knowing every agent, copilot, and model you connect runs inside a governed boundary. Least-privilege data access is enforced automatically, before anything reaches it. No rogue agents. No accidental leaks. Nothing to explain after the fact.

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WHO'S ASKING role + clearance YOUR DATA databases, data lakes, files, & PDFs LATTICE scopes & redacts per this request AI AGENT into the ontology AUTHORIZED DATA the rest — never sent
Lattice pulls only authorized data into a governed ontology, then scopes and redacts it, down to individual fields inside a document, for each request. Only that governed slice ever reaches the AI agent; the rest is never sent, not just hidden from the answer.
AI AGENT GOVERNANCE · LEAST-PRIVILEGE BY DEFAULT · SANDBOXED AGENT RUNTIME · NO ROGUE AGENTS · PASSES YOUR SECURITY REVIEW · EARLY ACCESS NOW OPEN · AI AGENT GOVERNANCE · LEAST-PRIVILEGE BY DEFAULT · SANDBOXED AGENT RUNTIME · NO ROGUE AGENTS · PASSES YOUR SECURITY REVIEW · EARLY ACCESS NOW OPEN ·

"What could this agent access if it wanted to?"
Most teams can't answer that with confidence.

Every AI agent you deploy (support bots, coding agents, internal copilots, autonomous workflows) inherits whatever access its integration was set up with. Nobody designed it to overreach. It was just never built to know the difference between what it can technically reach and what it's actually authorized to touch.

~70%
of enterprises already run AI agents in production
21%
have a mature governance model for agentic AI
92%
fail to rotate machine credentials every 90 days

Sources: Team8 2025 CISO Village Survey (via Gartner) · Deloitte 2026 State of AI in the Enterprise · SANS 2026 State of Identity Threats & Defenses Survey

One integration, unlimited reach

Your agent has one login. It can see everything that login can.

Connect an agent to your CRM, your codebase, or your knowledge base, and by default it inherits the same blast radius as the service account behind it. It doesn't know a customer file is under legal hold, or that a config file has production credentials sitting in it. There's no "except this" unless someone builds it in.

Proprietary data, someone else's model

Send it to a frontier model, and your edge belongs to their retention policy.

The moment an agent hands your pricing model, your source code, or your research to an external provider, you're trusting decisions you don't control. Teams protecting real competitive advantage need the sensitive slice kept out of the request entirely, not just hope it's ignored.

Redacted here, exposed there

You locked it down in one system. The agent found it in another.

Every team that connects an agent to a new data source re-solves the same access question from scratch. The result is five slightly different versions of "who's allowed to see this," and the agent only needs to find the one nobody got around to updating.

A confident answer, wrong access

It didn't know the answer. It gave you one anyway.

Most agents can't tell "there's no data for that" apart from "you're not cleared to see the data." So they answer with whatever they can reach, at full confidence, either way. That's the failure mode compliance teams fear most, because nothing about it looks like an error.

A governed runtime for every agent.
Not a policy that trusts them to behave.

Lattice sits between every AI agent and your systems as a governed runtime, not a set of instructions an agent can be talked out of. Each agent runs inside a sandboxed boundary with fixed resource and filesystem access; every request is filtered through data policies for redaction, segmentation, and role-based access; and Lattice can govern not just what an agent reads, but what it's allowed to produce or act on. All of it enforced before anything reaches the model, automatically, every time.

Sandboxed execution

Contain what every agent can reach.

The resources, filesystem paths, and systems an agent is allowed to touch are fixed before it starts, not policed after the fact. An agent can't reach a directory, a service, or a credential that isn't explicitly in its lane.

Least privilege, by policy

Enforce access rules that can't quietly fail.

Redaction, segmentation, and role-based access are defined once and applied identically to every agent and every request. Write a rule that references a field you haven't defined, and Lattice refuses to save it and tells you why, instead of quietly doing nothing and leaving you to find out during an incident.

Fail-closed by default

Refuse to guess when it's not sure.

If what an agent is authorized to see doesn't fully answer the question, Lattice returns "insufficient access" instead of a confident answer built on a partial picture. It's the same instinct already running inside every Decision DNA record, now enforced at the point an agent touches data.

Full audit, by default

Prove every access, instantly.

What an agent was given access to, what it wasn't, and which policy made that call. It's recorded the moment it happens, not reconstructed afterward from logs and best guesses. When your auditor asks why, the answer is already written down.

Built for the environments where the wrong access isn't a bug.
It's an incident report.

Any AI agent touching real company data needs governance eventually. These are the environments where teams can't afford to find that out the hard way.

One agent, a dozen partners, a dozen clearance levels.

Suppliers, contractors, and partner systems each need visibility into a different slice of the same data. Lattice keeps every partner-facing agent inside its own lane, without a separate integration for each relationship.

Access resolved by clearance level, not just job title.

When what an agent can see legitimately depends on clearance, not role, Lattice resolves that before it ever touches classified or compartmented information, not after, and not on policy alone.

Your pricing models and research are the business. Keep them out of someone else's model.

Trading strategies, underwriting logic, and proprietary research can't quietly end up inside an external provider's request logs. Lattice keeps that layer out of what any agent is allowed to send off-premises.

HIPAA doesn't pause for AI.

Patient records and trial data carry obligations that apply to every system that touches them. Lattice applies the same redaction rules to an agent that already govern a person's access.

Every request resolves to a scope.
Bigger asks get less. Trusted asks get more.

Lattice doesn't just say yes or no. Each request resolves into a scope: how much data comes into view for that agent or person, right now. A narrow scope still redacts categories like PII and protected health information; the widest scope, reserved for the roles that actually need it, carries no redactions at all. This is illustrative traffic, not a customer's real data, but it's the same feed a live deployment produces.

Lattice Scope Resolution — Simulated Feed
--:--:--
Time Role Resource requested Resolved scope
0
Requests Scoped
0
Resolved With Redactions
Average Resolution Time
100%
With a Named Scope Rule

AI adoption is outrunning AI oversight.
That's the gap Lattice closes.

Every new AI agent is another security review.
The faster your teams adopt agents and copilots, the more of them need an answer to "what can this actually access." That question doesn't get easier by ignoring it. It comes up at every renewal, every audit, and every incident review, whether you've answered it yet or not.
Governance before the access happens, not a report after.
A lot of what's called AI agent governance today is really posture management: scanning the access an agent already has and flagging what looks excessive, after it was granted. That's a useful signal, but it's still a report. Lattice sits earlier in the flow: it decides what an agent receives at the moment it asks, so overprivileged access isn't something you catch later. It never happens in the first place.
It's not a replacement for what you already use.
Lattice doesn't ask you to switch agent frameworks, model providers, or coding tools, whether they're wired together over MCP, a custom orchestration layer, or plain APIs. It sits beside them and decides what reaches them, so adopting it isn't a migration. It's a checkbox your security team can finally sign off on.
Already proven inside Decision DNA.
Need-to-know redaction and input governance aren't new ideas we're introducing. They're already running inside every Helixor Digital Worker's audit trail. Lattice is that same mechanism, now available in front of systems you already operate.
Early, on purpose.
We're working hands-on with a small number of design partners while we finish the parts that only real customer workloads can get right. That's a deliberate choice. We'd rather build the next stretch of this with the teams who'll actually run it.

Tell us what your AI agents
aren't allowed to touch yet.

Helixor Lattice is in early access. Apply and we'll set up time to look at your actual agent stack together.