Security Assessments
We audit your AI agent deployments to identify vulnerabilities, permission gaps, and potential data exposure risks across the full stack.
Build AI Agents You Can Trust. Deploy Them With Confidence.
Talk to Us About Governance
AI agents are transforming how businesses operate, but with greater autonomy comes greater risk. As organisations deploy agents that can access data, execute actions, and make decisions, the need for robust governance and security has never been more urgent. Appoly helps you build the guardrails that keep your AI deployments safe, compliant, and auditable.
Most organisations are moving fast to build and deploy AI agents. Far fewer are investing in the infrastructure to govern them. Industry research predicts that by end of 2026, over half of enterprises will need third-party services to create and oversee guardrails for AI agents.
Without proper governance, AI agents can:
We audit your AI agent deployments to identify vulnerabilities, permission gaps, and potential data exposure risks across the full stack.
Role-based access controls for AI agents, human-in-the-loop approval workflows, and escalation paths for edge cases requiring human judgement.
Comprehensive observability layers that give you full visibility into what your agents are doing and why — every tool call logged and traceable.
Read-only defaults, granular tool permissions, authentication integration, and rate limiting to prevent Shadow Agentic IT.
Governance solutions designed for DORA, MHRA, and the UK critical third-party regime — built to satisfy auditors and regulators.
Playbooks for AI-specific incidents including unexpected agent behaviour, data exposure, and permission breaches.
Where DORA and the UK critical third-party oversight framework demand rigorous governance of AI systems that interact with customer data and trading systems.
Where patient data protection, MHRA compliance, and clinical safety requirements mean AI agents must operate within tightly controlled boundaries.
Where AI agents managing inventory, routing, and supplier interactions need clear operational limits and audit trails.
Where data from IoT sensors and farm management systems must be handled securely, particularly where it feeds into regulatory reporting.
We believe AI governance should be designed in, not bolted on. The most effective guardrails are invisible to end users but provide complete confidence to leadership, compliance teams, and regulators. We build governance that enables your AI strategy rather than constraining it.
Our team brings direct experience in both building AI agent systems and managing real-world cybersecurity incidents. We understand the risks from both sides: the technical vulnerabilities and the business consequences. This dual perspective means our governance frameworks are practical, proportionate, and designed for the real world.