Securing AI Adoption: Why Visibility Is Critical

Widespread use of algorithms creates serious observability issues for corporate security. A significant percentage of usage falls on shadow AI, where employees interact with unmanaged services outside centralized control. Each such situation carries specific risks: from users copying confidential data into external language models to compromising accounts with broad access rights.

The evolution of threats also changes the speed of large-scale attacks. For example, if a cybercriminal gains control over a valid profile in the Microsoft 365 environment, the Copilot tool allows them to quickly find and analyze valuable assets in emails, Teams conversations, or SharePoint sites without the need for manual searches.

The situation is complicated with the emergence of AI agents capable of autonomously initiating work processes: if a non-human identity is compromised, detecting an anomaly becomes more difficult due to the typicality of automated actions.

Effective AI technology management cannot be limited to just a list of approved tools in a static table. Modern cybersecurity requires understanding and validation of the real state of affairs in the infrastructure based on actual data. The AI Readiness toolkit from Vectra AI offers a comprehensive approach that allows converting disparate telemetry of networks, cloud environments, and identity management systems into actionable analytics.

This gives security experts clear answers to questions about which services interact with the corporate network, how deeply they are integrated, and where the greatest risks of information movement are concentrated. This allows companies to transform partially unmanaged innovation deployments into a methodical secure process, maintaining the pace of development and implementation of new ideas.

To ensure complete ecosystem control, Vectra AI has developed specialized monitoring and management modules.

AI Observability provides detailed analytics on service connections, tracking the directions of file transfers. Teams can monitor the activity in OpenClaw, AWS Bedrock environments, and access via Entra SSO to timely block risky external endpoints using available control tools.

Agent management works as an instrument for auditing deployed applications and administrators. The module records modifications in M365, Security Copilot, and Azure Foundry performance agents, helping to detect unexpected privilege changes or anomalous accesses to confidential resources.

The Copilot for M365 dashboards show actual interaction with the assistant within the company. The platform identifies the most active employees, most requested files, and suspicious behavior patterns directly related to threat detection modules.

Visibility truly becomes valuable only when detection algorithms are complemented by precise context for immediate response. The capabilities of AI Readiness allow analysts to transition from an overview of algorithm usage directly to basic telemetry analysis. If unauthorized access to an external neural network is recorded, an SOC specialist can thoroughly examine related accounts, devices, applications, and the context of the event.

A distinct technical advantage is the ability to conduct investigations through the built-in Agentic AI Assistant solution, which understands natural language queries. In the event of an AI agent modification, the system quickly displays the initiator of the changes, the exact list of adjustments, and their compliance with corporate policies. This completely eliminates blind spots and the critical gap between management expectations and actual activity in the IT infrastructure.

The mass adaptation of artificial intelligence is happening extremely rapidly, presenting a challenge for cybersecurity units to support business processes without slowing them down. To achieve this goal, access policies alone are insufficient as absolute visibility of operations, deep context, and proactive threat detection are required. Tools from Vectra AI enable timely identification of shadow AI, risk control of agent architecture, and monitoring of anomalous behavior of both people and machine code.

iIT Distribution, as a distributor of Vectra AI solutions, provides expert support and comprehensive assistance aimed at information security projects. The iITD team helps partners and customers at all stages: from auditing existing infrastructure and selecting the optimal architecture to full deployment of systems. The company’s specialists become part of the client’s team, ensuring a reliable level of protection and professional technical consultations during digital transformations.