[ Autonomous offensive security ]
An autonomous security researcher for the software you ship. It learns the boundaries your product trusts, crosses the ones that should not hold, and proves every finding with hard evidence.
01 / The gap
Scanners match payloads against a checklist. Pentests are a snapshot that ages the moment they end. Meanwhile your app ships new logic every day, and the boundaries that quietly stop trusting the wrong request are the ones nobody tests.
UnboundCompute reasons about your application, not a generic list, so it finds the crossing that matters and shows you it is real.
Who it's for
If a broken permission check would cost you a customer, a contract, or a headline, this is built for you.
One user's data must never cross into another user's access.
Roles, permissions, and approval flows where the rules carry real consequences.
Refunds, discounts, quotas, and workflow states worth bending past the rules.
New endpoints every week, faster than a manual review cycle can keep up with.
You want this coverage without standing up a full offensive security function.
Inside the product
UnboundCompute does the offensive-security work underneath, then gives whoever owns the problem a clear account of what happened, how it knows, and what to do next.
Needs your attention
Customer billing data crossed between two companies. The behavior was reproduced with two separate member accounts.
Independent reproduction
Proven / reproduced ×2
GET /api/v2/invoices/inv_209/export
Authorization: Bearer [member_identity]
X-Workspace-ID: ws_acme
HTTP/2 200 OK
organization: Northstar Labs
Verified closed
UnboundCompute replayed the same identity, action, and foreign invoice reference used in the original proof.
It shows what it proved, what held, and what it could not test.
02 / Evidence
No guessing at severity, no "likely exploitable." Suspicious behavior stays an observation until it is reproduced against a control. Each proven report includes the recorded request, the response that should never have come back, and a replay your engineers can run themselves.
Proof in plain sight
Every finding ships a plain English read, what it is, what an attacker could do, and how to fix it, right next to the hard evidence. Your engineers get the exact request, everyone else gets the point.
In plain English
A logged in user could open another customer’s project that should have been off limits to them.
03 / What it crosses
It models identities, objects, workflows and trust relationships. These are boundaries, not a closed vulnerability checklist.
Testing what changes when the same action is performed as another tenant, member, owner, or role.
Following identifiers and relationships to learn whether records remain bound to the people and companies that own them.
Refunds, approvals, discounts, quotas and state transitions bent past what the product rules intend.
Sessions, tokens and role changes that let a low-trust caller reach actions reserved for someone else.
Following backend calls, integrations and trusted services into places the application assumed a user could not reach.
Using one proven foothold to reach the next boundary, then preserving the complete path from entry to impact.
How it operates
You define the environment, scope and test identities. UnboundCompute keeps the difference between observed, proven, blocked and untested visible throughout the research.
01 / Scope
Connect a staging application, choose what is in scope, and provide the roles needed to exercise real workflows.
02 / Control
Requests, identities, baselines and controls remain attached to the investigation, including paths it could not exercise.
03 / Handoff
Export the evidence and replay the same identity, action and boundary after the fix to verify that it now holds.
04 / Why it's different
Scanners
Match known payloads against a checklist. Loud, generic, and blind to logic that is unique to you. You triage the noise.
Manual pentest
Deep but a snapshot. Expensive, scheduled, and stale the day after it ends, while your app keeps shipping.
UnboundCompute
Builds an application-specific model of identities, objects, workflows and trust. It explores unexpected transitions, reproduces what succeeds against controls, and preserves the path for replay.
Design partner program
UnboundCompute is in private access. Point it at a staging environment and see what it proves before your next release does.
you control the scope · blocked coverage stays visible · evidence is replayable
or explore the console demo with sample data