Home > Services > Security Testing & LLM Penetration Testing
AI is becoming part of customer applications, internal workflows, decision-making systems and enterprise operations.
But traditional application security approaches alone may not address the unique risks introduced by AI and LLM-powered systems.
FROM INSIGHT TO ACTION
UNDERSTANDING Penetration Testing
Testing may include:
UNDERSTANDING GRC
AI Security
Authentication
Authorization
API security
Application logic
Data handling
LLM Security
Prompt handling
Model interaction
Context handling
System instructions
Output controls
Data Security
Training data
Prompt data
Sensitive information
Retrieval data
Output data
ASSESSMENT APPROACH
Understand:
Identify potential attack paths and trust boundaries.
Test malicious and adversarial prompts.
Determine whether sensitive information can be extracted or exposed.
Not every gap carries the sAssess whether users or models can access information or functions outside intended permissions. ame level of risk. Nullray prioritizes gaps based on:
Evaluate whether AI agents can be manipulated into performing unauthorized actions.
Simulate realistic attack scenarios.
Prioritize findings according to:
KEY DELIVERABLES
BUSINESS VALUE
Safer AI adoption
Identify security weaknesses before production deployment.
Reduced data leakage risk
Protect sensitive enterprise and customer information.
Reduced unauthorized AI actions
Limit excessive model and agent permissions.
Improved customer confidence
Demonstrate responsible AI security practices.
Reduced AI incident exposure
Identify weaknesses before they become business incidents.
