API DAST and Compliance: Combine Runtime API Testing With an Agent-Assisted Security Baseline
Aegisify API DAST and Compliance pairs the advanced API attack-surface workflow with local application-security and database-posture baseline checks from the Aegisify Agent. The result is a single assessment that shows live API behavior alongside mapped technical control evidence—without presenting the scan as a certification or compliance guarantee.
Baseline
What Is the API DAST and Compliance Profile?
It is the API DAST profile plus a current Agent-assisted baseline of application-security and database-security posture.
The dynamic portion discovers and validates the live WordPress API surface, including REST, browser/client-side routes, API contract evidence, OpenAPI/GraphQL signals when present, and supported OWASP API-oriented security behaviors. The compliance portion asks the connected Agent to evaluate a set of local technical controls and return structured evidence that can be normalized into pass, fail, not applicable, not observable, or manual-review states.
In the supplied Agent build, the baseline contains 23 technical evaluations: 12 application-security checks and 11 database-posture checks. The public documentation groups these controls by security objective rather than publishing internal control identifiers, exact queries, or sensitive validation details.
How Dynamic API Evidence and Local Compliance Evidence Come Together
Open each stage. Exact control IDs, database queries, credentials, Agent API paths, probe payloads, and scanner implementation details are intentionally omitted.
Click a stage to expand
01Verify Scopecustomer-owned target
02Run API DiscoveryREST + client + contracts
03Validate API Behaviorbounded DAST
04Collect Agent BaselineAppSec + database
05Normalize Coveragestate + evidence
06Map ReferencesDISA + NIST + OWASP
07Remediate & Recheckhuman-reviewed action
The Profile Includes the Full API DAST Security View
The compliance profile does not replace dynamic API testing; it adds a local control baseline to it.
REST, Client, OpenAPI, and GraphQL Evidence
Builds the executable API inventory from runtime WordPress REST behavior, scripts/browser references, contracts, and conditional OpenAPI/GraphQL evidence.
Object and Function Boundaries
Evaluates supported object- and privilege-oriented authorization conditions, authentication expectations, and related access-control behavior.
Exposure, Schema, and Input Risk
Reviews response scope, contract mismatches, parameter handling, injection-oriented signals, and other supported API security behaviors.
Observable Consumption Posture
Reviews safe-to-observe resource-control indicators such as pagination or throttling posture without turning the assessment into a destructive load test.
DOM, Scripts, Source Maps, and API Relationships
Correlates browser/client evidence with APIs so the report reflects how endpoints become reachable within the application.
Documented, Discovered, and Unexpected Routes
Helps teams identify governance gaps between intended API inventory and the attack surface visible in the live application.
Read the complete API DAST guide for deeper coverage of the dynamic API layer.
12 Current Agent Evaluations Grouped by Security Objective
The supplied Agent’s application-security baseline focuses on observable WordPress and HTTP security posture. Public documentation groups the controls rather than exposing internal identifiers or implementation details.
Session and Browser Cookie Posture
Evaluates whether observable cookie attributes support secure transport and browser-side protection expectations for sensitive application state.
Security Header Baseline
Reviews supported HTTP security-header posture that helps reduce protocol, framing, content-sniffing, and transport-related exposure.
XML-RPC Restriction Posture
Evaluates whether legacy remote functionality is exposed in a manner consistent with the supported baseline and expected operational need.
API Access Boundary Posture
Reviews selected WordPress REST authorization conditions from the local Agent perspective and returns structured evidence for baseline evaluation.
Authenticated Action Boundary
Reviews supported administrative asynchronous-action posture for evidence that sensitive operations are protected by the expected access boundary.
Built-In File Editor Control
Evaluates whether WordPress’s built-in file-editing capability is restricted in a manner consistent with the supported hardening baseline.
11 Current Agent Evaluations Grouped by Database Posture
These checks focus on technical database security posture that can be observed from the authorized WordPress environment. They do not constitute a full database audit.
Strictness and Safer SQL Behavior
Evaluates available SQL-mode evidence against the supported baseline to identify database behavior that may weaken data-integrity expectations.
Application Database Account Scope
Reviews whether the WordPress database account appears to hold broader privileges than the application should normally require.
High-Risk Database Capabilities
Looks for disallowed or unusually powerful privilege indicators that would increase the impact of an application compromise.
Import / Export Restriction Posture
Evaluates supported evidence related to database-local file access and whether the environment limits unnecessary file import/export capability.
Database Connection Security Capability
Collects evidence about supported encrypted database transport posture where it can be determined by the Agent and environment.
Know the Database You Are Assessing
Records database engine/context information needed to interpret which controls are applicable, observable, or require manual review.
Five States Prevent “No Evidence” From Becoming a False Pass
The current normalization model explicitly supports pass, fail, not applicable, not observable, and manual review. That distinction is critical for credible compliance-oriented reporting because a control that cannot be observed is not the same as a control that passed.
Why the Compliance Baseline Requires a Compatible Aegisify Agent
Supported Standards References Help Organize Evidence—They Do Not Confer Compliance
DISA Application Security & Development SRG + Database SRG
The supplied compliance providers map current technical controls to supported DISA Security Requirements Guide references and related NIST control references where defined by the implementation. These mappings help reviewers connect scanner evidence to a broader control conversation.
OWASP API / Web, WSTG, and CWE
The API DAST rule catalog can map dynamic findings to supported OWASP API Top 10 2023, OWASP web, OWASP Web Security Testing Guide, and CWE references. These are finding classifications, not proof that every control in those standards was tested.
Compliance Evidence Does Not Require Unrestricted Telemetry
The Agent’s scan connection and the optional telemetry access model are separate controls. The supplied Agent begins with telemetry sharing disabled and allows administrators to authorize specific metadata categories individually. Those categories include software versions, integrity hashes, administrative inventory, cron/event inventory, backup/restore telemetry, snapshot differences, file-drift history, privileged configuration states, and optional log/activity retrieval.
The Agent also defines local WordPress activity sensors across user, settings, plugin, theme, core, file, content, taxonomy, comment, media, menu, option, and Aegisify events. Most are enabled by default; four high-volume option-change sensors are disabled by default. Activity collection does not automatically authorize SaaS retrieval.
How the Combined Assessment Runs
One Combined Profile
An authenticated customer selects API DAST and Compliance for a verified WordPress domain. The job records both dynamic API coverage and the compliance-baseline requirement.
Repeat the Technical Baseline
The profile can run on daily, weekly, or monthly schedules, allowing teams to detect API attack-surface changes and technical control drift on a recurring cadence.
External DAST + Local Agent Checks
SaaS coordinates the API DAST portion against the live verified target while the compatible Agent evaluates the local application and database posture required for the baseline layer.
Rerun After Remediation
Dynamic findings can use supported retesting, while control-state changes are best confirmed by rerunning the combined profile so the current Agent baseline is collected again.
Keep Dynamic Findings and Baseline Controls Understandable in the Same Assessment
Control-State Overview
Summarizes application-security and database-posture checks by normalized coverage state so reviewers can quickly see failures, unobservable controls, and manual-review items.
Evidence Without Internal Scanner Disclosure
Organizes each supported control with its outcome, evidence summary, and mapping context while the public article avoids reproducing internal IDs, exact commands, or database-query implementation.
Runtime Vulnerability Evidence
Retains the normal API attack-surface, route-contract, finding, evidence, coverage, and standards-mapping views from the dynamic profile.
Not Observable and Manual Review
Highlights where the Agent or runtime scanner cannot provide a defensible answer so the organization knows what evidence must be collected elsewhere.
Continuous Baseline Review
Scheduled or repeated scans can show whether dynamic findings and technical baseline states improve, regress, or become newly unobservable after environmental changes.
Human-Reviewable Action
Detail workflows can provide remediation guidance, including AI-assisted guidance where available. Recommendations remain advisory and should be reviewed, backed up, changed through normal controls, and verified afterward.
Use the Profile as Continuous Technical Evidence, Not a One-Time Badge
Run the API DAST and Compliance Profile
Assess the verified live API surface and collect the Agent-side application/database baseline in the same job.
Separate Findings From Control States
A runtime DAST vulnerability and a failed baseline control are different evidence types. Route each to the owner and remediation process appropriate to the issue.
Resolve Manual and Unobservable Items
Collect architecture, hosting, policy, database-platform, inherited-control, or assessor evidence outside WordPress where the Agent cannot provide a defensible answer.
Rerun and Compare
After remediation, repeat the profile or use supported retesting to verify technical change. Use scheduled scans to detect drift rather than treating a historical pass as permanent.
Common Questions
Does a “pass” mean my WordPress site is compliant?
No. A pass means the available technical evidence for that specific supported baseline control is consistent with the implementation’s expectation. Compliance depends on the complete applicable framework, scope, inherited controls, policies, processes, organizational evidence, and assessor or authorizing decisions.
Why do some controls show “not observable”?
Some hosting, database, or platform settings may be hidden from WordPress or unavailable to the application database account. Marking a control not observable is more accurate than inventing a pass/fail result.
Can I run the compliance baseline without the Agent?
The local application/database baseline depends on a compatible connected Agent because several controls require authorized inside-the-site evidence. Dynamic API DAST can still collect the runtime evidence available to it, but the baseline layer should be shown as unavailable or degraded when the Agent cannot provide it.
What standards are referenced?
The supplied implementation includes mappings for supported DISA Application Security & Development SRG and Database SRG controls with NIST references where defined, while DAST findings can carry OWASP API/web, WSTG, and CWE mappings. Mappings do not equal certification.
Can AI remediation make compliance changes automatically?
AI-assisted remediation may be available as advisory guidance in the detail workflow. Recommendations should be human-reviewed and applied through normal backup, testing, approval, and change-control processes before the assessment is rerun.