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SCN-01

AI-Native Scanner Coverage

The scanner evaluates AI-specific code and workflow surfaces that conventional AppSec categories do not fully describe.

coverage matrix

DiscoveryAnalysisEvidenceRetest
Prompts and instructionsSystem prompts, templates, policy text, and instruction boundaries.
Covered
Covered
Covered
Covered
Retrieval and contextCorpus access, provenance, tenant boundaries, and prompt assembly.
Covered
Covered
Covered
Partial
Agents and orchestrationPlanning, delegation, memory, and workflow transitions.
Covered
Partial
Partial
Planned
Tools and MCPTool schemas, invocation boundaries, and consequence-bearing actions.
Covered
Covered
Covered
Partial
Identity and authorityUser, agent, service, and delegated permissions.
Covered
Partial
Partial
Planned
Evidence and lifecycleFinding state, provenance, remediation, and rescan behavior.
Not applicable
Covered
Covered
Covered
CoveredPartialPlannedNot applicable

About this figure

AI-native applications introduce security surfaces that are not fully captured by conventional AppSec categories. This scanner focuses on the parts of the system where model behavior, orchestration, and authority intersect: prompts and instructions, retrieval and context, agents and workflows, tools and MCP integrations, identity and authorization, and evidence across the analysis lifecycle. The coverage model tracks work across discovery, analysis, evidence collection, and retest, distinguishing what is fully covered, partially covered, planned, unknown, or not applicable. By mapping these AI-specific surfaces to concrete analysis stages, the scanner provides a more accurate view of risk and assurance for systems built around LLMs, agents, and tool-using workflows.

Embed in a route

<FigureFromSource sourcePath="content/publications/figures/products/code-scanner.dsl.md" figureId="SCN-01" />

Citation

AI-Native Scanner Coverage (SCN-01). AI Security LLC Figure Library. https://aisecurity.llc/publication-dsl/figures/SCN-01