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AI Governance

Our team of experienced security professionals brings expertise in AI security, risk management, and compliance. We work collaboratively with your teams to develop a holistic security strategy that aligns with your business objectives and mitigates risks associated with AI technologies. With our AI Security readiness for ISO 42001 and AAIF Implementation consulting service, you can confidently leverage AI capabilities while maintaining a strong security posture and trust in your AI-driven initiatives. 

Key Components

01

AI Security Readiness Assessment

We conduct a thorough assessment of your organization's readiness to use AI securely. This includes evaluating your existing AI infrastructure, data handling practices, security controls, and compliance with relevant regulations and standards. We identify gaps and vulnerabilities to develop a tailored security strategy.

03

Security Controls and Best Practices

We help design and implement security controls and best practices specifically tailored to AI systems. This includes data encryption, access controls, secure model deployment, threat detection and response mechanisms, secure AI training pipelines, and secure AI model governance.

05

AI Security Training and Awareness

We provide customized training programs and workshops for your AI development teams, data scientists, and stakeholders to raise awareness of AI security best practices. This includes training on secure coding practices, data privacy, ethical considerations, and compliance requirements.

02

AI Framework Implementation

We assist in implementing frameworks like the Anecdote AI Framework (AAIF), NIST AI Risk Management Framework (AI RMF), and ISO 42001.

These frameworks provide a structured approach to AI security, encompassing principles such as ethics, accountability, transparency, fairness, explainability, and robustness. Our experts work with your teams to integrate the most appropriate framework for your unique AI needs, whether you are leveraging another AI provider or developing one in-house.

04

Secure AI Development Lifecycle

We guide you in establishing a secure AI development lifecycle (SDLC) that incorporates security considerations from design to deployment. This includes conducting security assessments and testing at each stage of the AI development process to identify and mitigate potential vulnerabilities.

06

Continuous Monitoring and Improvement

We help set up continuous monitoring mechanisms to detect and respond to security incidents in real time. We also support ongoing security assessments, audits, and reviews to ensure that your AI systems remain secure and compliant with evolving threats and regulations.

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