Global
As organisations accelerate the adoption of Generative AI, AI-powered applications and autonomous agents, securing the AI lifecycle requires more than traditional cybersecurity controls. Organisations need assurance that AI models are resilient against emerging threats, visibility into AI usage across the enterprise, and governance mechanisms that minimise operational, security and compliance risks.
Our Cybersecurity for AI service helps organisations identify, assess and manage AI-related risks across the enterprise. We work with organisations to evaluate the security of AI models and applications, document and uncover shadow AI and unmanaged AI services, and establish appropriate controls to support the secure and responsible adoption of AI technologies.
Leveraging industry best practices and specialised AI security methodologies, our consultants perform model security assessments, AI red teaming exercises, AI usage reviews and governance assessments to identify vulnerabilities, compliance gaps and operational risks. We also help organisations strengthen data protection measures, implement AI guardrails, establish governance policies and enhance oversight of autonomous AI agents and AI-driven processes.
Assess the security and resilience of AI models, applications and agents through model scanning, AI red teaming and continuous evaluation. Identify vulnerabilities, adversarial risks, model drifts and unsafe AI behaviours before they impact business operations.
Identify AI applications, Generative AI services and autonomous AI agents operating across the organisation. Assess AI usage patterns, uncover shadow AI and establish governance controls to support secure and compliant AI adoption.
Protect sensitive data and business processes with continuous monitoring, runtime controls and AI guardrails that prevent data leakage, malicious inputs and unsafe outputs.
Apply policy-driven controls, least-privilege access and continuous monitoring to validate agent intent and ensure AI systems operate within approved business, security and compliance boundaries.
Monitor AI consumption across users, departments and agents to identify cost drivers, manage resource utilisation, prevent overspend and maximise the value of AI investments.
Discover AI applications, models, generative AI services and autonomous agents operating across the organisation.
Identify vulnerabilities, unsafe behaviours and potential attack paths through model scanning, AI security assessments and adversarial testing.
Prevent data leakage, policy violations and unauthorised actions through runtime monitoring and AI guardrails.
Gain real-time visibility into AI consumption across users, departments and agents to identify cost drivers and enforce usage governance.
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