LLM Model Security Testing- Service Coming Soon! Stay tuned.
LLM Model Security Testing – Penetration Testing for Large Language Models
Large Language Models (LLMs) are powerful enablers of business innovation – but they also introduce unique security risks. DIAMATIX performs deep penetration tests to evaluate your LLM’s resilience against advanced threats, protecting sensitive data, ensuring compliance, and maintaining user trust.
What We Do:
Test for prompt injection, data leakage, and model inversion.
Assess API endpoints for access control flaws.
Review content filtering and ethical safeguards.
Provide evidence-based remediation guidance.
Benefits:
Strengthen your LLM security posture.
Reduce the risk of sensitive data exposure.
Ensure ethical, fair, and compliant outputs.
Build resilience against adversarial LLM-specific attacks.
Use Cases:
AI-powered knowledge base assistants.
Legal and compliance document analysis tools.
AI code generation platforms.
Healthcare and finance LLM deployments in regulated sectors.
Our Methodology (Simplified):
DIAMATIX applies a structured, multi-step approach tailored for LLMs:
- Architecture Review – understand model setup, APIs, integrations, and trust boundaries.
- Targeted Penetration Testing – simulate real-world adversarial techniques.
- Threat Family Coverage – prompt injection, data leakage, agent/tool abuse, poisoning, fairness & bias.
- Vulnerability Assessment Report – prioritized findings with clear business impact.
- Remediation Recommendations – proven guardrails, validation techniques, and monitoring strategies.
Deliverables
Findings Report: vulnerabilities mapped to risk levels.
Evidence Log: reproducible prompts, payloads, outputs, trace IDs.
Risk Register: ownership, severity, remediation deadlines.
Remediation Playbook: best practices for prompt hardening, schema adherence, and monitoring.
Example Threats We Test For
Jailbreaks & Policy Evasion – hidden rules extraction, role confusion, override prompts.
Indirect Prompt Injection – malicious instructions in documents, PDFs, web pages.
Secrets & PII Leakage – memory leaks, embeddings bleed, unauthorized exfiltration.
Tool/Agent Abuse – unsafe state changes, unauthorized API calls, command execution.
Poisoning & Integrity Attacks – retrieval poisoning, backdoors in fine-tunes.
Fairness & Abuse – toxic/biased outputs, disparate performance across groups.
Process
- LLM architecture review.
- Controlled penetration testing.
- Threat analysis and severity scoring.
- Vulnerability assessment report.
- Remediation guidance & retesting.
Ready to elevate your cybersecurity strategy? Reach out to the DIAMATIX team for expert guidance, innovative solutions, and tailored support.
Saudi Arabia , Riyadh
