Artificial Intelligence and Machine Learning (AI/ML) systems are transforming how organisations operate – from LLM-based chatbots to real-time fraud detection and autonomous decision-making and finance and healthcare. But with great capability comes new attack surfaces.
From prompt injection testing to data poisoning, we uncover security blind spots in models, pipelines, and APIs – ensuring AI adoption does not come at the cost of trust or resilience.