AI, ML & Data Science
AI Security & Responsible AI
Assess and reduce the security, privacy and fairness risks of AI systems before they reach your customers.
Assess and reduce the security, privacy and fairness risks of AI systems before they reach your customers.
AI systems introduce new risks: prompt injection, data leakage through model outputs, biased decisions and unclear accountability. These need the same rigour as any other security and compliance risk.
Drawing on our cyber-defence experience, we test AI applications against known attack techniques, review data flows against privacy obligations such as India's DPDP Act 2023, and help you set up governance that is practical for your size.
Assess and reduce the security, privacy and fairness risks of AI systems before they reach your customers.
Examples of problems this capability solves for our clients.
Prompt injection, jailbreak and data-exfiltration testing.
Personal data flows mapped and minimised across the AI pipeline.
Bias checks, model documentation and approval workflows.
A staged approach that proves value early and keeps risk under control.
We confirm the business problem, the data available and how success will be measured before any model is chosen.
A time-boxed prototype on your real data shows what accuracy and impact are achievable.
Secure APIs, integration with your applications, automated testing and human-in-the-loop controls.
Drift, accuracy and cost are tracked in production, with scheduled retraining and reviews.
Straight answers to what clients ask us most.
Yes. Assessments can be run on any AI application you operate, with your authorisation.
A findings report ranked by severity, with reproducible evidence and specific remediation steps, plus a re-test after fixes.
AI projects usually draw on several of these disciplines together.
Custom machine learning and deep learning systems that solve a specific business problem — and keep working after launch.
Chatbots, assistants and knowledge tools built on large language models — grounded in your own documents and data.
Systems that understand images and video — from document reading to face verification and live video analytics.