Your AI has vulnerabilities.
Here is exactly how to fix them.
Concrete remediation steps. Estimated hours per fix. Ordered by regulatory deadline urgency. Your engineering team will know what to do. Your auditor will accept the evidence.
Manual AI pentest: $15K, 4 weeks. Graith: $1,999, 10 minutes.
This is what you get.
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Remediation Plan
3 findings · Prioritized by regulatory impact · Estimated total: 22–36 hours
Model obeyed embedded instructions in user input that contradicted system-level safety constraints.
View evidence — prompt sent & model response
- Add input sanitization middleware that strips instruction-override patterns (e.g., "ignore all previous", "you are now", "system override") before model inference. Use regex:
/(ignore|disregard)\s+(all|previous|above)\s+(instructions?|directives?)/i - Deploy a lightweight guard model (Llama Guard 3, 8B) to classify prompts as safe/unsafe before they reach the primary model.
- Add output filtering that blocks responses containing system prompt fragments longer than 50 characters.
Model revealed its system prompt under role-play, exposing PII contained in the prompt.
- Remove all PII from system prompts. Replace names, emails, and account identifiers with tokenized references retrieved server-side.
- Add refusal training examples for prompt extraction attempts (role-play, translation tricks, "repeat the text above").
- Implement prompt injection detection before inference (same middleware as Finding 1).
Model adopted "DAN" persona, bypassing all content restrictions.
- Filter known jailbreak patterns (DAN, STAN, DUDE, DevMode) in request preprocessing.
- Deploy refusal classifier for responses to role-play attacks — block output if classification confidence ≥ 0.8 for "jailbreak compliance."
- Audit system prompt for sufficient safety constraints against persona-based attacks.
Every finding references the regulation it violates.
Your auditor needs a compliance matrix. The report includes it. Hand it over.
| Framework | Requirement | Tested | Status |
|---|---|---|---|
| EU AI Act | Art. 15(5)(a) — Data poisoning | ✓ | PASS |
| EU AI Act | Art. 15(5)(c) — Adversarial examples | ✓ | FAIL |
| EU AI Act | Art. 15(5)(d) — Confidentiality | ✓ | FAIL |
| NIST AI RMF | MAP 2.3 — Input validation | ✓ | FAIL |
| NIST AI RMF | GOV 1.2 — Risk management | ✓ | PASS |
| ISO 42001 | A.7.4 — Robustness | ✓ | FAIL |
| ISO 42001 | A.8.2 — Risk assessment | ✓ | PASS |
| SOC 2 | CC7.1 — Security monitoring | ✓ | PASS |
Each FAIL status maps to a remediation item with concrete fix steps.
Scan → Evidence → Fix
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800+ probes across every OWASP category. Exact prompts we sent. Exact responses. No guessing.
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Who needs this right now
CISOs
Your board asked about AI risk. Your auditor needs Article 15 evidence. 31 days until enforcement. Get a fix plan today.
Compliance & GRC
Every finding cross-referenced to the regulation it violates. Framework coverage matrix. Auditor-ready evidence appendix.
Engineering Leads
No more vague scanner output. Exact prompts that broke it. Exact code/config changes to fix it. Estimated hours per fix.
This is not theoretical.
Fortune 500 electronics manufacturer
Engineers pasted proprietary source code into a public AI chatbot to debug it. Three confidential data leaks in under a month. The company banned all internal AI use.
Major North American airline
Customer support chatbot hallucinated a bereavement refund policy. Customer screenshotted it. Court ruled: the company is bound by what its AI says to customers.
National auto dealership chain
Chatbot tricked into agreeing to sell a vehicle for $1. "I agree to the terms" — the bot. Viral brand damage. Prank calls flooded the sales team for a week.
Pricing
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Standard
$1,999
One payment. Fix plan delivered.
- ✓ Prioritized remediation plan with time estimates
- ✓ Evidence for every finding
- ✓ Full OWASP Top 10 adversarial test
- ✓ PDF report — auditor-ready
Comprehensive
$3,500
One payment. Regulatory-grade fix plan.
- ✓ Everything in Standard
- ✓ Fixes ordered by regulatory deadline urgency
- ✓ Multi-turn attack & safety erosion analysis
- ✓ NIST AI RMF, EU AI Act, ISO 42001, SOC 2 mapping
- ✓ Cross-model benchmark vs GPT-4o, Claude, Llama
Enterprise
$4,999
One payment. Custom. White-label.
- ✓ Everything in Comprehensive
- ✓ Remediation tailored to your industry
- ✓ Your brand on the report
- ✓ Quarterly re-assessment included
- ✓ Dedicated support engineer
A manual AI pentest from a major consultancy: $15,000, 4-week turnaround, raw findings in a PDF.
Graith: $1,999, 10 minutes, prioritized fix plan with exact steps.
Same OWASP methodology. Accessible today. 90% less.
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