Compliance and audit readiness with AI agents

Have the evidence ready when the auditor asks

Customers want to know what is inside your software and where their data goes, and compliance gaps often surface after release. Agents build the bill of materials, check every license, trace personal data through your code, and link the evidence to the pull requests, tests, and reports that support it.

YOU HAND OVERSecurity review · 140 questions
evidence · vendor-portalInventory…
0/ 18 controlsBuilding the SBOM · 321 packages
Software inventoryNo list of shipped packages—
License policyAGPL package in reports-svc—
Personal data in logsEmail written to app logs—
Secrets managementKey in a config file—
Change managementReviews not recorded—
Data retentionExports kept forever—
1Inventory
2Check
3Fix
4Evidence
YOU GETEvidence pack for 18 controlsEach one linked to a PR, test, or report
Built by Syncfusion, serving 47,000+ organizations.25+ years of developer tools, now reimagined for the agent-first era.
47,000+Syncfusion customers
1,600+Syncfusion UI components
25+Years of Syncfusion developer tools
Syncfusion component licensing is separate.
What is inside

List software dependencies and their licenses

Many customers now ask for a software bill of materials before they sign. Generate an SBOM and license report on request: the agent checks each license against your policy and flags blocked packages with a compliant replacement.

A bill of materials on requestCycloneDX or SPDX, including transitive packages.
Check licenses against your policyAllowed, needs review, or blocked, per dependency.
Review alternatives and the effort to switchA compliant replacement and the effort to switch.
reports-svc · sbom.cdx.jsonCHECKING LICENSES
react18.3.1MIT·
@syncfusion/ej2-react-grids27.1.48Commercial·
date-fns3.6.0MIT·
pdf-render-kit2.4.0AGPL-3.0·
zod3.23.8MIT·
fast-xml-parser4.4.1MIT·
sharp0.33.4Apache-2.0·
libphonenumber-js1.11.4MIT·
Policy: MIT, Apache-2.0, BSD, Commercial allowed · AGPL, GPL blocked0 of 8 checked
Where personal data goes

Trace personal data from input to its destinations

Personal data rarely leaks through the database. It leaks through a debug log, an analytics event, or an export nobody remembers. The agent follows each field from where it enters to everywhere it lands, and masks the copies that should not exist.

  1. 01Where personal data entersForms, imports, and APIs that take personal data in
  2. 02Where personal data is storedWhich tables and files hold it, and whether they are encrypted
  3. 03Logs, analytics, and exportsLogs, analytics, error trackers, and exports
Personal data map · emailTRACING patients.email
  1. Sign-up formweb/SignUp.tsx · [email protected]
  2. APIapi/patients.ts · [email protected]
  3. Databasepatients.email · encrypted · •••• encrypted
  4. Application logslogger.info(req.body) · [email protected]
  5. Analyticstrack("signup", user) · [email protected]
Evidence, not screenshots

Give reviewers the changes and tests behind each answer

Audit prep usually means engineers collecting screenshots for two weeks. Here every control points to something real in your repositories, so the evidence is current the day you are asked for it.

Follow each control to its evidenceEach control links to the pull request, test, or report that supports it.
Review fixes for identified control gapsA missing control is a small fix with a test, not a policy document.
Your team rotates exposed credentialsAgents list exposed secrets to rotate. A person rotates them.
EVIDENCE PACK0 / 6 controls
ACC-01Access is reviewed every quarterNo evidence yetMISSING
CHG-01Every change is reviewed before releaseNo evidence yetMISSING
INV-01Shipped components are inventoriedNo evidence yetMISSING
PRV-01Personal data stays out of logsNo evidence yetMISSING
SEC-01Secrets are stored in a vaultNo evidence yetMISSING
RET-01Exports are deleted after 90 daysNo evidence yetMISSING
The same day, twice

Morgan gathers evidence for a customer security review

Illustrative example, not a customer result.

Here is what the work looks like today, and what changes when an AI team takes the busywork off the plate.

Without BoldCreateWith BoldCreate
09:00
A hospital customer sends a 140-question security review.Due in 3 weeks
Morgan points BoldCreate at the twelve service repositories.10 minutes of setup
11:30
Nobody can say which open-source licenses ship in the product.Spreadsheet started
SBOMs and a license report arrive. One AGPL package is flagged.Replacement proposed
15:00
A patient email turns up in the application logs.Incident opened
The personal data map finds the email in logs. A masking fix is in review.Leak closed with a test
18:00
Two engineers are pulled off the roadmap to gather screenshots.Sprint goal missed
Each control links to the pull request, test, or report that supports it.Evidence linked
Two engineers back on the roadmap instead of collecting screenshots

Frequently asked questions

What do agents produce for compliance and audit readiness?
A software bill of materials and license report for each service on request, a map of where personal data goes, and evidence for each control linked to real pull requests.
Which SBOM formats and license checks are covered?
SBOMs come in CycloneDX or SPDX, including transitive packages. Each dependency is marked allowed, needs review, or blocked under your policy, and blocked packages get a compliant replacement with the effort to switch.
How do agents find personal data leaks?
The agent follows each personal data field from where it enters, through storage, to logs, analytics, error trackers, and exports, and masks the copies that should not exist.
Do agents handle our credentials?
No. Agents list exposed secrets to rotate, and a person rotates them. A missing control becomes a small pull request with a test.

Start with the questionnaire on your desk

Pick the control your next questionnaire asks about. Approve the spec, review the evidence and any fix as a pull request, and your team merges it.

$199 a month for 20 seats · AI and sandboxes at provider cost + 10% platform fee