Security for AI Advisory

In the rapidly evolving AI landscape, securing your business, products, and data is more critical than ever. Our services are designed to help organizations proactively manage risks, ensure compliance, and build resilient AI-driven systems.

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Our phased approach:

1. AI Security & Risk Assessment: Understand your AI landscape, data flows, and associated risks.

2. Tailored Security Roadmap for AI enablement: Align security priorities with your AI strategy, your customer requirements, compliance needs, and product lifecycle.

3. Expert Advisory & Recommendations: Provide ongoing guidance on AI model security, fairness, compliance, and ethical considerations, ensuring proactive risk management.

 

The impact:

• Build a resilient and secure AI ecosystem with clear governance, security, and compliance controls.

• Enable your organization to innovate confidently, knowing risks are managed and ethical standards are met where AI is enabled.

• Support your transition from pilot projects to enterprise-scale AI systems with secure, resilient, compliant, and fair practices.

 

Key offerings include:

• Secure AI Governance Frameworks: Develop and tailor governance models aligned with your product roadmap and organizational goals.

• Cyber Integration for AI: Plan and implement secure integration of AI systems within your enterprise architecture.

• AI Risk & Threat Assessments: Identify vulnerabilities and threats unique to AI systems and models.

• AI Model & Service Reviews (AIBOMs): Audit AI models and services for security, fairness, and robustness.

• Secure Posture Development: Establish security baselines and practices specific to AI service deployment.

• Compliance & Ethical Assurance: Prepare for regulatory and ethical considerations specific to AI, including bias mitigation.

• Data Security & Privacy: Strategize AI data management to ensure integrity, confidentiality, transparency and compliance.

• AI Model Auditing & Fairness: Conduct regular audits to ensure model fairness, stability, and compliance with ethical standards.

• Threat Detection & Monitoring: Implement AI-specific threat detection and continuous monitoring tools.

• AI Ops & SDL Planning: Embed security into AI development lifecycle (SDL) and operational processes.