HelixML
Helix Cyber

Powerful open models, fine‑tuned for penetration testing.

Unlike general-purpose models from OpenAI and Anthropic that can refuse penetration-testing requests, Helix models are tuned to complete authorized security work. Your code, prompts, traces, and findings stay on inference infrastructure you control and are never sent to a third-party model provider.

Open modelsIsolated test sandboxesPrivate inference
Fortify

Find it. Prove it. Fix it.

Continuous code security review and AI penetration testing that don’t stop at a report. Every finding is validated in a sandbox, explained, and carried through to a merged fix.

SCANDETECTVALIDATEFIXHUMAN MERGE

Continuous Review

Every commit and pull request is reviewed by security agents that read your code the way an attacker would — logic flaws, injection paths, leaked secrets, broken auth. Not pattern matching. Understanding.

Validated, Not Noisy

Findings are reproduced in sandbox desktops before you ever see them. If it can't be demonstrated, it doesn't page you — signal instead of a wall of false positives.

Reporting You Can Act On

Severity, blast radius, and the exact code path — written for engineers and auditors alike. A continuous, compliance-ready record of your security posture.

Fixed as Pull Requests

Agents don't stop at finding issues. They write the patch, run the tests, and open a pull request. You review and merge — humans stay in the loop.

Penetration testing scopes

Penetration testing across your attack surface.

Scope testing for an audit, customer request, or internal risk review. Helix covers web applications, APIs, cloud infrastructure, networks, source code, and AI applications, not only SOC 2 evidence.

Reports for the Requirement

Scope reports for SOC 2 Type I or Type II, ISO 27001, PCI DSS, a customer security review, or an internal risk assessment. Each report records methodology, coverage, findings, severity, and remediation status.

Your Attack Surface in Scope

Test web applications, APIs, cloud infrastructure, internal and external networks, source code, and AI or LLM applications. Agents learn how your product should work before exercising routes, roles, and permission boundaries.

Inference Infrastructure You Control

Run open models on inference infrastructure you control. Your code, prompts, findings, and LLM calls are never sent to OpenAI, Anthropic, or another third-party model provider.

Protect

Your infrastructure, enveloped.

Agents discover what you run, wire into the monitoring you already have, and stand up a security data lake with detections built for your company — then watch it, around the clock.

COMPUTECLOUDSECURITY DATA LAKE

Organisation Discovery

Agents map your attack surface the way an intelligence organisation would — domains, services, cloud accounts, repositories, people and processes. A living picture of what needs defending.

Plugs Into Your Stack

Monitoring and alerting wired into the infrastructure you already run — Prometheus, Grafana, PagerDuty, your SIEM. No rip-and-replace. Helix envelops what exists.

Security Data Lake

A data lake for security events across your whole estate — every login, deploy, and anomaly in one queryable place. The memory your defence is built on.

Purpose-Built Triggers

Detections designed for your company, not copied from a generic rulebook — your business logic, your crown jewels, your failure modes. Alerts that mean something when they fire.

Continuous Threat Hunting

Agents watch around the clock — identifying threats as they emerge, rectifying weaknesses before they're exploited, and purging attackers who make it inside.

Powerful Open Models

Security work needs models that engage with it. Helix runs powerful open models on infrastructure you control — not nerfed closed AI systems that refuse the job halfway through.

Identify threats. Rectify weaknesses. Purge attackers. An AI SOC that runs continuously — not an annual pentest report gathering dust.

Autonomous response

From webhook to countermeasure.

Webhooks become a living security system. Events land in a queryable data lake, agents reconcile what should be true with what is true, and a coordinator spawns specialists to hunt anomalies and repel attacks in parallel.

Autonomous security response loop from webhooks to coordinated agentsWebhooks from code, cloud, identity, and endpoint systems enter a normalized event intake and security data lake. A coordinator agent spawns reconciliation, anomaly hunting, and response agents in parallel, then feeds their evidence back into the lake and perimeter.EVENT SOURCESWEBHOOKS · STREAMS · SIGNALSGITHUB / GITLABCLOUD + K8SIDENTITY + EDRPAGERDUTY / SIEMWEBHOOK INTAKEVerify → normalizeschema + identitydedupe + enrichqueue for agentsSECURITY DATA LAKEevents · history · evidenceevery signal becomes contextqueryable by every agentCOORDINATOR AGENTdecide · delegate · verifybuilds an attack timelinespawns specialists on demandcoordinates one responsePARALLEL AGENT WORK · SHARED MEMORYRECONCILE JOBSReality checkCompare observed state with the stateyour systems and policies say should exist.HUNTAnomaly searchQuery the lake across time, join weaksignals, and surface the sequence that matters.RESPONDCoordinated actionContain, notify, remediate, and leave anevidence trail for the next decision.REPEL + RECOVEREVIDENCE + OUTCOMES FEED THE NEXT DECISION

One signal can wake a team. The coordinator keeps the work bounded, shares memory between agents, verifies the result, and turns every response into evidence for the next decision.

Pilot pricing

A clear starting point, then a scope we both understand.

Black box API engagements are $7,000 USD, gray box engagements are $10,000 USD, and white box work starts at $10,000 USD. We confirm the scope before testing begins.

Black box

$7,000 USD

Typical single-API scope

No internal access. We test the exposed API and its reachable attack surface as an external attacker would.

Gray box

$10,000 USD

Typical single-API scope

Limited credentials and context give us deeper coverage while preserving realistic attacker constraints.

White box

From $10,000 USD

Priced after review

Pricing depends on codebase size, repository count, dependencies, architecture, and the depth of review required.

Black and gray box prices cover a typical, well-bounded single API. White box pricing depends on codebase size, repository count, dependencies, architecture, and review depth. Larger applications, remediation, and retesting are scoped separately.

Request a scope →

Get your penetration test report in 24 hours.

Delivery starts when scope, written authorization, and access are confirmed. Findings are validated before reporting; remediation and confirmation testing follow as separate steps.