AI Security is a specialised discipline focused on protecting Artificial Intelligence and Machine Learning (AI/ML) systems throughout their entire lifecycle. This includes securing training data against poisoning, algorithms against intellectual property theft, model outputs against manipulation, and deployment environments from various cyber threats. Key threats include data poisoning, adversarial input, model theft, and the misuse of AI functionalities, all of which AI Security aims to mitigate.

Our Core AI Security Services:

We provide comprehensive services to fortify your AI/ML initiatives:

• Model Hardening & Adversarial Testing
• Secure Data Pipelines
• Access Control for AI Workloads
• Explainability & Bias Detection
• Inference & Monitoring Integration

• Model Hardening & Adversarial Testing:

  We rigorously simulate adversarial attacks to identify vulnerabilities and strengthen your AI/ML models against evasion, manipulation, and data extraction attempts.

• Secure Data Pipelines:

  We implement robust controls to ensure the integrity, confidentiality, and provenance of both training and inference datasets, protecting against data poisoning and unauthorised access.

• Access Control for AI Workloads:

  We design and implement granular access controls (via IAM and secure APIs) to restrict and monitor access to your sensitive AI assets, including models, data, and compute resources.

• Explainability & Bias Detection:

  We help audit your AI models for fairness, transparency, and potential biases, ensuring regulatory compliance and ethical AI deployment.

• Inference & Monitoring Integration:

  We establish real-time behavioural tracking of model outputs to detect anomalies, data drift, and potential attacks during the inference phase, ensuring continuous protection.