AI & LLM Security

AI & LLM Security Services

Advantage:
Safeguards high-value AI initiatives (potentially protecting millions in innovation spend), enabling safe scaling of technologies that drive revenue growth, while positioning your firm as a forward-thinking leader compliant with emerging AI regulations and free from the pitfalls that have plagued early adopters.

As more and more companies adopt AI-driven systems and large language models for efficiency gains, emerging threats like adversarial attacks, data poisoning, or model exploitation can undermine these investments, leading to flawed outputs, intellectual property loss, or regulatory scrutiny in a rapidly evolving field. We specialize in threat modeling, secure deployment practices, and hardening techniques to protect your AI assets from internal and external risks.

AI Model & LLM Threat Assessment

We conduct in-depth security reviews of AI and LLM models to uncover real-world risks such as prompt injection, adversarial attacks, and model exfiltration. We also evaluate API access points and data pipelines, identifying weaknesses that could be exploited. Our assessments include training data integrity and supply chain risks, ensuring that the foundations of your models remain trustworthy

Secure AI/ML Development Lifecycle

We integrate security directly into the AI development process. This includes applying threat modeling tailored for AI, establishing secure coding practices for machine learning pipelines, and reinforcing MLOps environments with appropriate controls. We also protect CI/CD pipelines handling model deployment to minimize exposure during updates and releases.

Governance & Compliance

We help organizations navigate the growing regulatory requirements around AI. Our team conducts compliance reviews aligned with frameworks such as the EU AI Act, NIST AI RMF, and ISO/IEC 42001. We develop clear policies for AI usage, access control, and data handling to ensure your operations remain compliant and well-governed.

AI Supply Chain Security

Third-party AI services and open-source models can introduce hidden risks. We assess external APIs, conduct dependency and code reviews, and evaluate the security posture of any external AI components you rely on, reducing the chance of supply chain vulnerabilities.

AI & LLM Pentest

We test LLM-driven applications for practical risks like prompt injection, jailbreak attempts, and manipulated outputs. Our approach includes targeted red teaming to identify weaknesses before attackers do, while also evaluating model behavior under stress or misuse.

AI Security Awareness & Training

We provide tailored training for executives, engineering teams, and end-users alike. From high-level briefings on AI risk for decision-makers to hands-on workshops for developers and practical guidance for everyday users, our goal is to equip your organization with the skills and awareness needed to use AI securely and responsibly.

AI-driven innovation demands AI-grade security. We protect your models, your data, and your business.