AI agents for security teams and compliance
Give the shadow AI already in your repos one governed path
Shadow AI is already in your repos. BoldCreate gives engineering one governed way to use agents. You get sign-in with roles, your own model keys, a Security agent check on every agent-built change, and an action log you can hand to an auditor.
YOUR GOAL
YOU GETAn audit log you can exportEvery action, every actor, every verdict
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
Data boundaries
Set model access rules for restricted code
Classify repositories and data. Restricted code only goes to the models and regions you approve, through your own provider keys. Secrets are injected into sandboxes at run time and never enter a prompt.
PUBLICdocs-site, sample appsAny model on the company allowlistAuto model routingCloud or desktop
INTERNALmost product reposYour provider keys onlyAuto within approved modelsNo consumer AI accounts
RESTRICTEDpayments, health recordsApproved models in your regionNo fallback to other providersSecurity agent check and a human approval to merge
Audit-ready
Export agent actions and human approvals for review
Every agent action is logged with the person who started it, the model it used, the data class it touched, and the human who approved the result. Filter by team, repo, or date and export it.
Illustrative example: a sample audit export
agent-actions.csv18,402 rows · actor, action, repo
approvals.csv1,211 human sign-offs
model-usage.csvmodel, region, data class
security-findings.csv96 found · 96 fixed
The same day, twice
Omar evaluates the controls around agent use
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 BoldCreate
With BoldCreate
With BoldCreateWeek 1
Developers already paste code into public chatbots.Data leak risk
Sign-in with Microsoft, GitHub, or Syncfusion, plus roles.Controlled access
Week 2
Vendor can’t say where code is processed.No answer
Bring your own model keys. No training on your code.Data stays yours
Week 3
No audit trail of what AI changed.Compliance gap
Every agent action logged and exportable.Audit-ready
Week 4
Blanket ban. Developers work around it.Shadow AI
Approved rollout with policies switched on.Safe adoption
A governed alternative to shadow AI, ready for your security review
Where it hurts, and what changes
Common problems and how BoldCreate helps
Illustrative example outcomes, not measured results.
0training on your code
100%of agent actions logged (illustrative)
4layers of control
Frequently asked questions
How do people sign in to BoldCreate for security and compliance teams?
People sign in with Microsoft, GitHub, or Syncfusion, or with your own identity provider through single sign-on over OAuth 2.0 or OpenID Connect. SCIM user provisioning keeps users in step with your identity provider, and roles control who can use agents and approve their work.
Is our code used to train models?
No. BoldCreate does not train on your code, and you can bring your own model keys.
Can we control which models see restricted code?
Yes. You classify repositories and data, and restricted code only goes to the models and regions you approve, through your own provider keys. Secrets are injected into sandboxes at run time and never enter a prompt.
What does the audit log record?
Every agent action is logged with the person who started it, the model it used, the data class it touched, and the human who approved the result. Filter by team, repo, or date and export it for your auditor.
How are risky agent changes stopped?
Each task runs in an isolated sandbox, and a security auditor checks every change. Hooks block risky changes before commit and ask a person, and you can require the security auditor before restricted code merges.