How AI Agents are changing information security management

Information security management has always been a balancing act. Organizations need to meet growing compliance requirements, manage risks, and keep documentation in order without overloading their teams with manual work.

As we discussed in our earlier post on AI–human collaboration, the goal to utilize AI is not to replace people, but to find the right way for humans and AI to work together. AI agents are a practical step in that direction. They help by taking care of repetitive tasks, organizing information, and keeping security work moving forward.

In this post, we’ll look at three practical types of AI agents and how they can support Information Security Management Systems (ISMS) in a structured and controlled way. At Cyberday, we have created AI agents to support these types and will give examples to see concrete examples.

AI agents as part of structured security management

Information security management involves ensuring the continuity of proper measures, documentation and clear communication.

Frameworks such as ISO 27001 define what needs to be covered, but the day-to-day reality involves:

• Repeating checks and reviews
• Maintaining documentation
• Ensuring responsibilities and timelines are followed

This creates a lot of administrative work. At this stage, AI agents can step in to ensure that the system runs smoothly and nothing goes unnoticed. And the key is in the structure. AI works best when it operates within a defined framework, where outputs are not just free-form text but part of a controlled, auditable system.

Before diving into agent types, it’s important to understand how AI should be used in compliance work. While AI can accelerate drafting and improve consistency, reducing human errors in repetative tasks, remember that AI does not replace accountability and human remains responsible for decisions.

Guiding agents turn requirements into actionable work

One of the big challenges in security management is understanding what requirements actually mean in practice.

Guiding AI agents help bridge this gap by:

• Explaining requirements in plain language
• Suggesting how to implement them
• Providing best practices tailored to the organization

They act as a smart layer between complex frameworks and real-world execution.

Context is critical here. A healthcare company, a SaaS startup, and a public sector organization all face different risks and requirements. Effective agents adapt their guidance based on this context.

Cyberday includes guiding agents like:

• Task explainer
• Framework selector
• Free AI chat for general questions

These agents act as a smart support layer, helping users understand what needs to be done and why.

Evaluator agents support better decisions

Security work involves constant evaluation: assessing risks, identifying weaknesses, and prioritizing actions.

Evaluating AI agents support this by:

• Analyzing available data and context
• Highlighting potential risks or gaps
• Suggesting risk levels or priorities

This improves consistency and speeds up analysis, especially in organizations where security expertise is limited or distributed.

Cyberday includes evaluator agents such as:

• Risk evaluator
• Risk treatment helper
• Internal audit assistant
• Security questionnaire responder
• Compliance analyzer
• ISMS profile filler

These agents help turn data and documentation into actionable insights.

Creator agents can solve the “blank page” problem

A large part of ISMS work is documenting, e.g. policies, procedures and instructoins. Many organizations already do the right things but they  might not be written down clearly. And without documentation, compliance and certification become difficult.

Creator AI agents help by:

• Generating first drafts of policies and guidelines
• Structuring content based on requirements
• Using best practices as a baseline

This removes the “blank page” problem and helps teams move forward faster, giving the baseline for finished documents.

Cyberday example:

Cyberday includes creation agents like:

• ISMS policy drafter
• ISMS document importer
• Process description writer
• Guideline writer
• Training content creator
• Risk identifier

These agents ensure that outputs are structured, usable parts of the management system and thought out versions of security policies based on the organization’s profile.

AI agents as a practical teammate in ISMS work

As said, AI in information security management is not about replacing people but more about making structured work more efficient. The real value comes from combining human judgment with structured automation.

When used correctly, AI agents help organizations:

• Keep security work consistent and on schedule
• Reduce time spent on repetitive tasks
• Improve the quality and clarity of documentation
• Focus more on decision-making instead of manual work

As organizations move forward, the role of AI in ISMS will continue to grow from simple assistance to more proactive support. The foundation remains the same: humans stay in control, and AI helps maintain momentum. When done right, AI agents can help organizations build more consistent, scalable, and reliable security management systems.

In Cyberday, AI agents are built directly into the ISMS workflow. Instead of separate tools, they support everyday tasks from guidance and analysis to content creation ensuring that all outputs become part of a structured, auditable management system.

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