AI agent security for controlled operations in enterprise environments

AI agent security brings together the controls needed to protect data, restrict access, and govern the decisions and actions a virtual agent can perform. Unlike a traditional chatbot, an AI agent can query systems and act on business processes, so it also requires rules, traceability, and human oversight. Learn about the main security risks of AI agents and how to contain them.

They are AI agents capable of holding spoken conversations, understanding customer intent, applying business rules, querying systems, recording outcomes, and transferring calls to the human team when needed.

Inagent separates the conversational layer from the decision layer. The AI agent can understand context and respond naturally, but critical decisions are validated through business rules, conditions, and previously authorized actions.

When a situation falls outside the established framework, the agent blocks the action or transfers the interaction to a person. Learn how to set limits for autonomous AI agents without losing effectiveness.

They can handle inbound calls, launch outbound campaigns, confirm appointments, send payment reminders, follow up on sales, resolve common questions, classify calls, and provide after-hours service.

Inagent's multi-agent system lets you assign each agent a specific role and restrict the data, tools, APIs, and systems it needs to perform it. This prevents a single agent from concentrating unnecessary access, permissions, and capabilities. You can also define authorized operations and the criteria that require transferring the interaction to another specialized AI agent or a person.

A voicebot follows more rigid flows, while an AI voice agent understands the conversation, maintains context, applies business rules, and can move tasks forward by connecting to your systems. It is important to consider these differences when evaluating AI agent platform providers.

Inagent lets you test agents before publishing them, supervise conversations in real time, and analyze their behavior afterward. The platform records conversations, transcripts, tool usage, and executed actions to provide traceability for every interaction. In addition, Analytics Studio lets you analyze topics, sentiment, patterns, incidents, and areas for improvement to optimize both AI agents and the processes they support.

Yes. It can absorb incoming calls during demand peaks and launch high-volume outbound campaigns, with rules, limits, and transfer to the human team whenever necessary.

Yes. Supervisors can follow conversations in real time, guide critical situations through whisper, and intervene when context requires it. Rules can also be set to automatically transfer the conversation to the contact center, giving the professional the history, collected data, and reason for escalation. Human oversight is part of Inagent's governance model, as explained in the article about Inagent's ISO 42001 certification.

Inagent transfers the call to the appropriate team with the conversation history, collected data, completed actions, and reason for the transfer.

Information is encrypted while it travels between Inagent and connected systems and while it remains stored in conversations, histories, and configurations. The platform also includes roles and permissions to restrict which users can configure, supervise, or view each area of the operation. Environments remain isolated so one organization's data and context never mix with another's.

Yes. Inagent can connect to CRMs, ERPs, calendars, help desks, contact centers, payment systems, and other business tools to retrieve data and record actions. It also provides native integrations with the entire Inconcert ecosystem (Inconnect, Infunnel, Inspeech, and Inteam) and third-party software such as Shopify, Calendly, Google Calendar, Airtable, Salesforce, Supabase, Jira, and Google Sheets.

Yes. Deterministic rules, restricted access, encryption, traceability, and human oversight are especially relevant in industries such as financial services, insurance, healthcare, telecommunications, public administration, education, and collections. Each project should be assessed according to the type of data, the actions the agent will perform, and the applicable regulations. Inconcert supports your team throughout the process to identify risks, define the necessary controls, and adjust autonomy, supervision, and escalation for each use case. Request a demo and discuss your project with one of our experts.

Inagent operates with business rules, traceability, access controls, encryption, permissions, and secure connections to customer systems. In addition, Inconcert holds international security certifications that ensure information is handled correctly, including ISO 42001 (Artificial Intelligence Management System), ISO 27001 (Information Security Management Systems), and PCI DSS v4 for secure transactions.

Inconcert holds ISO/IEC 42001 for responsible AI system management and ISO/IEC 27001 for information security. It also holds PCI DSS Cloud v4, CSA STAR Level One, and CSA Trusted Cloud Provider recognition, while applying GDPR principles and privacy by design. Learn what each standard certifies in the article about Inconcert's security certifications and regulations.

ISO/IEC 42001 is an international standard for artificial intelligence management systems. It requires organizations to define responsibilities, assess risks and impacts, manage data and suppliers, establish human oversight mechanisms, and continuously improve the system. In Inagent, this framework applies to the design, configuration, operation, and evolution of the platform. Learn in detail what ISO 42001 means for Inagent.