Modern AI security workflow

Audit AI systems before attackers find the weak points.

Step through prompts, outputs, tools, and deployment assumptions in a cleaner SaaS-style experience that works for engineers, founders, and non-technical stakeholders.

Prompt injection testing
Data leakage and output review
OWASP Top 10 for LLM apps mapping
Workflow status
Designed like a modern product dashboard
Step-by-step
1. Scope the workflow
2. Mark active controls
3. Review score and export
New audit

Choose an audit mode, paste realistic workflow context, then run either a fast local review or a deeper AI-backed analysis.

Onboarding presets
Use a realistic attack pattern to populate the workflow quickly.
Analysis mode

Fast local runs entirely in the browser. Deep AI mode adds server-backed reasoning for harder workflow analysis.

Current controls
0

Mark real controls already in place so the risk score reflects defensive depth, not only raw findings.

Active controls
Mark the safeguards you actually enforce today.
Risk and reports
No audit results yet

Fill in the workflow, run an audit, and this panel will show the score, report exports, and category-level findings.

OWASP for LLM coverage
Prompt Injection
CVSS 9.8

Direct or indirect prompt instructions that override intended model behavior.

Sensitive Data Disclosure
CVSS 9.1

Leaks of secrets, PII, credentials, system prompts, or internal context.

Excessive Agency
CVSS 8.8

High-impact autonomous actions without sufficient human approval or scoping.

Tooling & Permission Boundaries
CVSS 8.6

Overly broad filesystem, database, shell, browser, or secrets access.

Insecure Output Handling
CVSS 8.1

Model output that can trigger execution, injection, or unsafe rendering downstream.

Guardrails & Monitoring
CVSS 6.7

Missing validation, logging, authorization, and review controls around AI features.

Findings and remediation
Run an audit to populate the report

The redesigned results view supports PDF export, saved history, risk visualization, and a cleaner remediation flow for technical and non-technical users.

How to use the workflow
Include both system prompts and untrusted content when testing prompt injection and hidden instruction abuse.
Add tool and permission context so the score reflects excessive agency and blast radius, not just prompt content.
Mark real safeguards already deployed. That keeps the workflow useful for product and compliance conversations, not just raw detection.
FAQ
Does the AI Security Auditor send my prompts or outputs to a server?

Fast local mode runs in the browser and does not require a server-side upload step. Deep AI mode sends the submitted audit context to the server and your configured model provider to produce a richer analysis.

What does this tool detect best?

It is strongest at spotting prompt injection payloads, unsafe agent/tool access patterns, sensitive output leakage, prompt disclosure, and risky output that could be rendered or executed downstream. Deep AI mode adds a broader workflow and threat-model review on top of the deterministic checks.

Is this enough for a production AI security review?

No. Use it as a fast first-pass audit. Production AI systems still need manual threat modeling, permission reviews, integration testing, and adversarial validation against real workflows.

Who should use the full audit mode?

Teams shipping copilots, RAG apps, AI chatbots, agent workflows, and AI features with filesystem, browser, database, webhook, or email actions benefit most from the full audit mode.

Upgrade path

Start free, then expand into saved history, exports, analytics, and ShieldX.

The AI auditor now fits a SaaS subscription model cleanly: starter access for evaluation, Pro for ongoing audits, and Enterprise for teams, APIs, and compliance workflows.