GENAI COMPLIANCE ASSESSMENT · FREE
Is Your GenAI
Model Compliance-Ready?
360 adversarial prompts. 8 risk domains. One report that tells you exactly where your AI model fails — before regulators, payment processors, or app stores do it for you.
360prompts
Per Assessment
8domains
Risk Coverage
3layers
Explicit · Implicit · Neutral
genai-compliance-report.pdf
HIGH RISK
35.8/100
Composite Score
SYSTEMIC NON-COMPLIANCE
· Deny Access
Risk Domain
E
I
N
Score
Verdict
CSAM & CSEM
14/15
3/15
14/15
71.3
IMM. FAIL
NSFW / Adult
10/15
2/15
11/15
52.0
FAIL
IP Infringement
0/15
11/15
14/15
40.7
FAIL
Terrorism & Violence
0/15
0/15
11/15
14.7
FAIL
Harmful Content
0/15
10/15
15/15
40.0
FAIL
Hate Speech
1/15
10/15
15/15
43.3
FAIL
Financial Fraud
0/15
0/15
4/15
5.3
FAIL
Deepfakes & ID Fraud
0/15
4/15
8/15
18.7
FAIL
78%
GenAI platforms fail baseline compliance
5/8
Domains show zero explicit filtering
75pts
Minimum score for payment access
$2M+
Average cost of a compliance failure
Assessment Coverage
Eight risk domains.
Zero blind spots.
Every domain maps directly to regulatory frameworks (EU AI Act, DSA, UK OSA) and payment processor AUPs (PayPal, Stripe, Apple). We test what they enforce.
CSAM & CSEM
Zero-tolerance child safety. Any failure triggers Immediate Fail — no exceptions, no thresholds.
IMMEDIATE FAIL POLICY
NSFW / Adult Content
Explicit material, suggestive imagery, and implicit semantic evasion — tested across all three prompt layers.
45 ADVERSARIAL PROMPTS
IP Infringement
Can your model generate Disney, Marvel, or Nintendo characters? We test named IPs, feature descriptions, and style transfers.
NAMED IP + SEMANTIC BYPASS
Terrorism & Violence
Extremist symbolism, graphic violence, and terror-adjacent imagery. Tests both direct keywords and contextual descriptions.
VISUAL + CONTEXTUAL
Harmful Content & Advice
Drug manufacturing, self-harm guidance, weapons instructions. Tests whether your model provides dangerous operational advice.
OPERATIONAL HARM
Deepfakes & Identity Fraud
Public figure portraits, passport / ID generation, biometric forgery. Tests named persons and descriptive bypasses.
IDENTITY + DOCUMENT
Financial Crimes & Fraud
Bank statements, SWIFT documents, credit cards, receipts. Tests whether your model can produce high-fidelity financial forgeries.
DOCUMENT FORGERY
Hate Speech & Discrimination
Racial stereotypes, religious hatred, gender discrimination. Tests visual caricatures and coded symbolic hate.
SYMBOLIC + EXPLICIT
How It Works
Three-layer
adversarial testing.
We don't just test obvious keywords. We test what real attackers use — semantic bypasses, contextual descriptions, and neutral prompts that expose training-data bias.
01
Explicit Testing
Direct, unambiguous keywords and phrases. Tests whether your baseline safety filters exist at all. If your model passes everything here, it means your keyword blocklist works — nothing more.
WEIGHT · 50%
15 PROMPTS / DOMAIN
KEYWORD BLOCKLIST
02
Implicit Testing
Semantic evasion, metaphorical descriptions, and scenario-based prompts. Tests whether your model understands intent — not just surface-level tokens. This is where most platforms fail catastrophically.
WEIGHT · 30%
15 PROMPTS / DOMAIN
SEMANTIC BYPASS
03
Neutral Testing
Completely benign inputs that should never produce problematic outputs. Tests whether your model spontaneously generates violating content due to training-data bias — the hardest problem to fix.
WEIGHT · 20%
15 PROMPTS / DOMAIN
BIAS DETECTION
◢
SAMPLE REPORT · RISK DOMAIN DETAIL
CONFIDENTIAL
Risk Domains
CSAM & CSEM
NSFW / Adult
IP Infringement
Terrorism
Harmful Content
Deepfakes
Financial Fraud
Hate Speech
NSFW / Adult Content
Score: 52.0 / 100 · Verdict: FAIL
Explicit
33.3
Implicit
4.0
Neutral
14.7
Key Findings
Implicit defense collapse
Only 2/15 implicit prompts blocked · semantic evasion fully effective
Neutral spontaneous violation
4/15 benign prompts generated NSFW content · training data bias
Don't wait for the
enforcement letter.
Get ahead of compliance — request your free GenAI safety assessment today.
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