Cybanetix launches managed AI service for business risk
Tue, 2nd Jun 2026 (Today)
Cybanetix has launched a Managed AI Service for businesses, designed to address AI risk across user behaviour, governance and embedded AI.
The product is aimed at organisations adopting artificial intelligence across staff tools, internal systems and automated business processes. It combines software from NOMA, SentinelOne, Microsoft and Exabeam with Cybanetix consultancy, managed security services and 24/7 Security Operations Centre monitoring.
Businesses face a growing range of AI-related security concerns as employees use public large language models, departments deploy AI tools without central oversight, and software teams add AI agents to business workflows. That has created distinct risk areas spanning multiple teams, from cybersecurity and compliance to software development and operations.
Cybanetix is positioning the service as a single managed offering for those issues. It covers employee AI usage, governance of AI assets, and controls for embedded AI systems connected to business applications.
The service includes observability and exposure mapping, monitoring of AI activity across an organisation, protection at the infrastructure and application levels, and model testing through synthetic and adversarial methods. Its operations team can also respond to alerts in under 15 minutes.
Three areas
The first area focuses on user behaviour, including employees uploading data to public AI tools or using models that have not been approved by the business. The second covers governance, such as model provenance, AI bills of materials and ownership of AI assets. The third addresses embedded AI, where agents and tools are built into business processes and may operate with broad access rights or without a clear inventory.
Many organisations currently rely on separate products for each of those areas, which can leave gaps. The service is intended to bring those controls into a single operational model linked to wider security monitoring and incident response.
Within the stack, SentinelOne Prompt Security and Microsoft Purview for AI are used for user-level controls. NOMA is used for AI discovery, access control, red teaming, and detection and response, while Exabeam is used for agent behaviour analytics.
The managed service layer includes advice on AI security policy, deployment and integration, posture analysis and system hardening. The Security Operations Centre element covers platform management, AI observability and threat detection for issues such as prompt abuse, model manipulation and anomalous behaviour.
Service scope
The offer includes AI risk assessment, technology deployment, AI posture management, managed detection and response, continuous AI risk reporting, and testing and validation. These functions are designed to discover AI components in use, map relationships between them, identify control gaps and support response measures ranging from blocking to traffic interception and notifications.
Reporting can also be mapped to standards and frameworks including ISO 27001, SOC 2, NIS2, Cyber Essentials Plus, ISO 42001, the EU AI Act and the NIST AI RMF. This reflects growing pressure on security and compliance teams to document how AI systems are governed and monitored.
For buyers, the proposition is not only about technical controls but also staffing. Hiring specialists in AI security remains difficult, and some companies are looking to managed service providers to fill that gap while folding AI oversight into their existing cyber operations.
The service integrates AI events with identity and endpoint detection data so security teams can investigate them as part of broader incident response work. The aim is to give customers a view of AI posture alongside other forms of attack activity inside the business.
Merlin Gillespie, Chief Technology Officer at Cybanetix, explained the reasoning behind the launch.
"AI tools such as co-pilots, coding agents and LLM-powered workflows are now embedded across every business function and represent the fastest-growing, least-protected entry point in the enterprise. CISOs need AI posture management, model provenance, red teaming for rogue behaviour, real-time runtime detection, and the evidence trail to satisfy regulators and auditors. No single product does that, whereas the Managed AI Service covers all those bases to provide a truly credible AI security programme," said Gillespie.