Solutions

AI Security — ensuring safe and ethical AI implementations

Protection for organizations running advanced AI systems, including Large Language Model (LLM) penetration testing that identifies vulnerabilities before they lead to malicious misuse, data leaks, or unauthorized access.

Core services

AI security services

AI Application / LLM Penetration Testing

Adversarial testing of your AI applications and LLM integrations — prompt injection, jailbreaks, data exfiltration paths, and insecure tool/plugin access.

AI Ethics Gap Analysis

Evaluation of decision-making processes, fairness, transparency and bias management, aligned with industry standards and regulatory guidelines.

AI security illustration
What we cover

AI security components

Data protection

Preventing sensitive data leakage through prompts, embeddings, and model outputs.

Model security

Testing for jailbreaks, prompt injection, and adversarial manipulation.

System security

Securing the infrastructure, APIs and integrations around your AI systems.

Governance and risk management

Policies and oversight that keep AI use accountable and auditable.

AI ethics
Responsible AI

Ethics as a first-class control

We emphasize responsible AI practices, ensuring alignment with industry standards and regulatory guidelines — evaluating decision-making processes, fairness, transparency, and bias management as seriously as technical exploitation.

SpyderAuth positions itself as a leading provider of AI security services, with experienced professionals using the latest tools and techniques to identify and address vulnerabilities.

Deploying AI? Test it like an attacker would.

Talk to us about LLM penetration testing and AI ethics gap analysis.