A focused, engineering-driven service that builds and runs automated adversarial test suites to evaluate LLMs and ML systems across safety, reliability and trustworthiness dimensions. We generate and execute large, repeatable sets of test cases to surface biases, hallucinations, prompt-injection and jailbreak vulnerabilities, data-integrity issues, leakage/exfiltration risks, and robustness to adversarial inputs. The output is a scored, measurable profile of the model (bias, safety, factuality, security, robustness, and usability scores), plus a curated corpus of offending prompts & representative responses that organizations can use as block/allow lists and training material for introduction of content filtering and guardrails to protect against LLM attacks.
This service includes the LLM Application Security Penetration Testing scope and deliverables but provides the below over and above the other service: -
LLM Scoring & Analysis
The defined categories, scoring criteria, and weightages are not one-size-fits-all; they are carefully customized based on the organization’s industry, business context, and the nature of the AI application being tested.
- Prompt Exploit Simulation Suite - mimics real-world hacker tactics through prompt attacks to find unseen weaknesses.
- Sensitive Data Leak Watch - detects and prevents any exposure of confidential or personal data.
- Model Truth & Stability Check – ensures your AI delivers accurate, trusted, and consistent answers.
- Content Guard & Compliance Test - checks whether your AI is within safe, responsible, and regulation-compliant boundaries.
- Fair AI Validation – confirms your model treats all users and topics impartially and ethically.
- Jailbreak Challenge Zone - pushes your AI to the limit with advanced jailbreak and bypass tests.
- AI Defence & Integrity Shield – provides a data set to protect your model against malicious prompts and hidden backdoors.
Extra Deliverables
- An excel with a list of prompts/responses and score/severity for various categories