SCANNER PROVIDERS · AI-NATIVE COVERAGE

Add AI-native coverage to the scanner your customers already use.

Extend an existing AppSec or vulnerability-scanning product with SecEng capabilities for AI-generated code, LLM applications, RAG, agents, MCP, tool use, authority paths, and multi-step attack-path analysis — without replacing the scanner, workflow, or customer experience you already own.

Request OEM Pilot Packet Explore the OEM Engine

Partner identity preservedStructured return to your schema

HOW IT WORKS

One finding in. Enriched context out.

Your scanner sends a structured finding or event. SecEng adds AI-native analysis, evidence, and lifecycle state, then returns the result through your existing workflow.

SP-04

Partner Findings Lifecycle

AI-native findings return into the partner product with lifecycle state preserved through review, remediation, rescan, and retest.

Normalize • Enrich • Return • Retest

1
Partner finding or scan evidence
Target • Request/response evidence • Workflow observation • Stable issue identity
2
SecEng enrichment
AI-native path • Evidence qualification • Authority context • Validation state • Remediation
3
Partner-native return
Preserved issue identity • Reporting state • Remediation status • Retest condition
4
Rescan or retest
Lifecycle history remains connected to the original issue

Return to stage 1 — lifecycle state preserved

The scanner remains the system of engagement. SecEng adds specialist context behind it and returns the result to the workflow the customer already uses.

ONE FINDING IN · A RICHER FINDING OUT

Keep the finding. Add the context.

The test is not whether SecEng can generate another report. It is whether an existing scanner finding can return through the partner's own workflow with materially better context and evidence — without losing its identity.

Same finding ID. Enriched, not replaced.

Partner input

1{
2  "finding_id": "partner-98271",
3  "severity": "High",
4  "component": "agent/tool-runner",
5  "location": "services/agent/runner.py:142",
6  "description": "Retrieved context can influence a consequential tool call."
7}

Your scanner or platform finding

SecEng-enriched output

1{
2  "return_id": "seceng-demo-018",
3  "finding_id": "partner-98271",
4  "evidence_refs": ["source-path-142", "tool-policy-07"],
5  "lifecycle_state": "enriched_retest_required",
6  "ai_attack_path": "retrieved_context -> agent_decision -> consequential_tool",
7  "remediation": "Constrain tool arguments and require approval before execution.",
8  "validation_state": "not_validated_pending_retest"
9}

Structured result your workflow can trustPartner finding ID preserved

Sanitized reference example. Exact fields and mapping depend on the partner's finding model and the agreed pilot contract.

Optional expansion: Where several supported findings combine, Attack Path Chaining can qualify the resulting path and identify shared remediation chokepoints.

INTEGRATION FOUNDATION

Start with a bounded contract, not a platform replacement.

Detailed format maturity and adapter registries live on Partner Interoperability. This is the bounded contract the pilot actually tests.

Structured result contract

Versioned JSON preserves issue identity, evidence references, lifecycle state, validation, and mapping decisions.

Format projection where useful

SARIF and other supported vulnerability shapes can be used where they fit the partner workflow.

Partner-native mapping

The pilot tests the partner's actual object and lifecycle requirements before any public compatibility or production-support claim.

Inspect contract and interoperability details →

PILOT SCORECARD

A scanner pilot should prove uplift, evidence quality, lifecycle fit, and production viability.

#Pilot checkStatus

1Representative input accepted

2Stable ID preserved

3Result returned into partner schema

4Severity mapping accepted

5Evidence sufficient for analyst review

6Deduplication demonstrated

7Rescan / retest state preserved

8No prohibited data egress

9Production decision recorded

BOUNDED SCANNER PILOT

What the pilot asks from each side.

Supply one sanitized finding, schema, representative scan result, or bounded target. SecEng enriches it and returns an agreed object so both sides can determine whether the added coverage is useful inside the existing scanner workflow.

Partner contribution

1–2 engineering contacts
Sample findings or fixture set
Schema review
Mapping approval
Test environment

SecEng contribution

Engine invocation
Finding enrichment
Evidence handling
Adapter configuration
Pilot readout and production recommendation

Typical effort: 2–4 technical sessions · Representative fixture required · Test environment only for pilot
Production adapter included only after conversion

Review Vendor Pilot Apply as a Partner Review detailed pilot criteria →

AFTER THE PILOT

Productize only if the result improves the scanner.

Exact pilot, implementation, and licensing terms depend on the selected capability, integration burden, deployment model, customer scope, and support requirements.

1
Pilot
Prove one finding and one native return path.
2
Productize
Harden the adapter, lifecycle, release, monitoring, and support boundary.
3
License
Agree selected capabilities, deployment, customer scope, update entitlement, and any OEM or white-label rights.

Start with one representative finding.

Prove the contract, the enrichment, and the return path before you commit to a deeper integration.

Review Vendor Pilot Apply as a Partner