AI Security

Comprehensive AI security services for Large Language Models and AI solutions, leveraging NIST AI RMF, ISO 42001, and OWASP Top 10 for LLMs. Build trusted, resilient AI systems.

Introduction

The era of Artificial Intelligence is here, bringing unprecedented innovation alongside new, complex security challenges. For organizations leveraging Large Language Models (LLMs) and other AI solutions, safeguarding these systems is paramount.

We offer specialized AI Security and Trust Services to help you identify, assess, and mitigate risks unique to AI. Our expertise, grounded in leading frameworks, ensures your AI deployments are not only powerful but also secure, ethical, and compliant by design.

Our AI Security Assessment & Engineering Services

We provide a holistic approach to AI security, integrating industry best practices and emerging standards:

NIST AI Risk Management Framework (AI RMF) Adoption & Assessment

Comprehensive Risk Identification: We help you understand and manage the full spectrum of risks associated with AI, including data bias, explainability, robustness, privacy, and societal impact.
Trustworthiness Principles: Implementing and assessing controls aligned with NIST AI RMF's four functions: Govern, Map, Measure, and Manage.
Responsible AI Integration: Ensuring your AI solutions are developed and deployed with a focus on fairness, accountability, and transparency.

ISO/IEC 42001:2023 AI Management System Implementation

AI Governance & Controls: Assisting with the establishment, implementation, maintenance, and continuous improvement of an AI Management System (AIMS).
Certification Readiness: Guiding your organization through the process to achieve ISO 42001 certification, demonstrating a commitment to responsible AI.
Ethical AI Frameworks: Integrating ethical considerations and societal impact assessments directly into your AI development lifecycle.

OWASP Top 10 for Large Language Model Applications (LLMs) Security

Prompt Injection: Identifying and mitigating vulnerabilities where malicious inputs can bypass security filters or manipulate LLM behavior.
Insecure Output Handling: Preventing the LLM from generating harmful, biased, or misleading content that could be exploited.
Training Data Poisoning: Assessing risks related to the integrity and security of your LLM's training datasets.
Model Denial of Service: Protecting against attacks designed to degrade LLM performance or availability.
Supply Chain Vulnerabilities: Evaluating the security of third-party models, APIs, and components used in your LLM applications.
Sensitive Information Disclosure: Ensuring LLMs do not inadvertently reveal confidential or private data.
Automated Vulnerability Detection: Implementing tools and processes to automatically detect and flag LLM-specific security flaws.

Why Secure Your AI with Us?

Specialized Expertise: Deep understanding of AI technologies and their unique attack vectors.
Proactive Risk Mitigation: Identify and address AI-specific risks early in the development lifecycle.
Compliance & Trust: Build AI solutions that meet emerging regulatory demands and foster user confidence.
Responsible Innovation: Balance cutting-edge AI capabilities with robust security and ethical considerations.