What Boundri does.
Boundri stops your agents from taking actions you didn't approve — refunds, CRM updates, memory writes, anything consequential — before they execute. You point it at your agent code, it maps every tool and connector your agent can use against a typed catalog of operations, and it surfaces the gaps where your agent has unrestricted access to actions that should be governed. Then your team writes policies in plain English, and Boundri compiles them deterministically into runtime rules. Same intent in, same policy out, every time.
Then your team writes the policies — in plain English, or by editing pre-filled forms generated from the scan. Boundri compiles those policies deterministically into runtime rules your agent's enforcement layer evaluates on every action. Refunds outside thresholds get blocked. CRM writes outside scope get flagged for approval. Memory writes containing PII get denied. Every decision is logged with the specific rule that fired.
Things your agents will do that you don't want them to do.
High-cost actions without approval.
Refunds outside your threshold. Discounts beyond your policy. CRM writes outside your scope. Boundri enforces approval gates at the moment the agent tries to act — not through prompt instructions an agent can ignore.
Enforced at action timeUnapproved data movement.
Your agents move data across tools, memory stores, observability platforms, and cloud services. Boundri traces every connector your agent touches and enforces policies on what data can cross which boundary.
Boundary-aware controlsUntracked decisions.
The agent acted, the customer complained, and nobody can tell which rule allowed it. Boundri logs every decision with the specific policy that fired — provable, auditable, and tied to the policy version in effect at the time.
Every decision loggedBurn through a month's budget in an afternoon.
Agents don't get tired and they don't watch the meter. A stuck loop or an over-eager retry can run up an unbounded bill before anyone notices. Boundri caps spend per agent, per role, per workflow — approval before the limit, hard stop after it. A runaway agent hits a wall, not your budget.
Per-agent spend capsWhat you have. What you're missing. What Boundri offers.
What you already have.
- Authorization — tool access control
- Observability — post-hoc agent traces
- Prompt-based guardrails — LLM-prompted safety checks
- Cloud IAM — credentials and roles
- Agent orchestration — workflow execution platforms
What's still missing.
- How tools get used after access
- Prevention before the agent acts, not analysis after
- Audit trails that show which rule fired, not just what happened
- A view of which regulations apply to your agents, not just your business
- Deterministic enforcement, not prompt-based guardrails
What Boundri offers.
- Scan your agent code, map every action to enforceable policy
- Plain-English policies, enforced at runtime
- Every decision logged with the rule that fired
- Regulatory citations on every risk — EU AI Act, GDPR, HIPAA, SOX
- Business teams update rules, no redeploys
Authorization controls what your agents can access. Boundri controls what they should do with it.
Permissions are necessary. They aren't enough. The gap between “the agent has access” and “the agent should use that access right now, this way, on this customer” is where production agents go wrong. Boundri lives in that gap.
How we got here.
Boundri started with an observation: every authorization platform tells you what your agents can do, none tells you what they should. Every observability platform tells you what they did, none stops them before they do it. The category between access control and post-hoc analysis was empty. We built Boundri to fill it.
