We implement and integrate enterprise AI security platforms with zero trust and IAM controls that support:

• Identity, authentication, authorisation, and privileged access management(PAM) controls for human and AI agent identities
• Policy-driven zero trust enforcement across data, applications, and AI systems, including agentic workflows and LLM interfaces
• Secure access to sensitive data and AI interfaces
• Protection of application and agentic AI execution environments with runtime guardrails and containment 
• Integration with cloud, data, and AI platform layers

The focus is on enterprise AI security controls that are enforceable, observable, and zero trust–aligned and aligned to enterprise operating models.

Where required, we take responsibility for operating enterprise AI security platforms in production with continuous posture monitoring and enforcement.

• Monitoring enterprise security posture, AI workload activity, and access anomalies 
• Managing policy updates and access changes
• Responding to security incidents and violations
• Supporting security audit, regulatory compliance (EU AI Act, SOC 2), and assurance processes
• Evaluation, versioning, and controlled rollout of models

Operational responsibility ensures enterprise AI security remains effective and audit-ready as systems, AI agents,and usage evolve.

Security platforms are typically implemented using patterns such as:

• Zero trust identity-first access and least-privilege enforcement for human and AI agent identities 
• Centralised policy definition with distributed enforcement
• Secure execution boundaries for applications and agents
• Continuous AI and enterprise security monitoring, observability, and auditability
• Integrated security controls across cloud, data, and AI layers

These patterns prioritise control, zero trust traceability,and resilience over ad-hoc protection across AI, data, and cloud layers.