Artificial intelligence is entering a new phase within organizations. Following the widespread adoption of assistants such as Microsoft 365 Copilot, designed to support tasks like drafting content and summarizing information, businesses must now prepare for the rise of AI agents.

Equipped with the ability to take action, these AI systems go beyond simply responding to prompts. They can plan workflows, execute code, call application programming interfaces (APIs), and interact directly with various systems, software, and digital resources to complete complex tasks without constant human intervention.

This shift toward agentic AI creates unprecedented opportunities to automate and optimize business processes, but it also changes the technology risk landscape. Unlike traditional generative AI tools, these software entities have a level of autonomy that can directly affect an organization’s operations and responsibilities.

This raises an important strategic question for business leaders and IT teams: How do you secure AI that can take action within your digital environment?

From Shadow AI to AI Agents

For the past few years, organizations have already had to contend with Shadow AI, the use of artificial intelligence tools by employees without necessarily going through company-approved processes and controls.

With AI agents, the challenge is evolving.

It is no longer simply a matter of monitoring the data being shared with an AI tool. Organizations must also determine which resources an agent can access and what permissions it should be granted.

Integrating autonomous agents expands the attack surface by increasing interactions with internal tools and systems. This can expose an organization to the risk of a compromised AI agent executing malicious instructions.

As a result, several fundamental cybersecurity principles are once again taking centre stage: identity management, access control, data protection, and governance.

Why Are AI Agents a Game Changer?

Employees typically have a digital identity associated with specific permissions. As organizations adopt agents capable of taking action within their digital environments, governing those interactions becomes just as important.

Agentic AI relies on increased autonomy in decision-making, fundamentally changing traditional workflows for IT teams.

For IT and cybersecurity teams, several questions therefore become essential:

• What data should the agent be able to access?
• What access does it actually need to perform its role?
• How can organizations prevent an agent from having excessive permissions or causing unauthorized privilege escalation?
• How can organizations maintain adequate visibility into agent activity and behaviour over time?
• How can rigorous human oversight be maintained to validate investigation steps or critical actions?
• What governance framework should be established before expanding their use throughout their lifecycle?

The goal is not to slow down the adoption of AI agents. Instead, organizations should apply best practices and the same security controls used for other digital identities and resources across the business.

Security Must Evolve Alongside AI

The emergence of AI agents reinforces an essential principle: artificial intelligence adoption and cybersecurity cannot evolve separately.

Organizations can begin by reviewing three key areas: the access granted to their AI tools and services, the classification and protection of sensitive data, and their ability to maintain visibility into how AI is being used across their environment.

By leveraging machine learning and threat intelligence, security teams can improve detection coverage while reducing false positives.

This naturally builds on the challenges associated with Shadow AI. While Shadow AI raised the question, “Which AI tools are our employees using?”, agentic AI adds a new dimension:

“What can our AI agents do, and which resources can they access?”

Will AI Replace Cybersecurity?

Artificial intelligence will not replace cybersecurity or cybersecurity professionals. Instead, it is transforming how they work.

As cybercriminals use automation to launch faster and more sophisticated attacks, defenders must also operate at machine speed. AI can serve as an efficiency multiplier by automating alert triage, accelerating anomaly detection, and executing predefined response actions.

However, automated systems have inherent limitations and cannot replace the strategic judgment of security analysts.

Human expertise remains essential for assessing the severity of critical incidents, understanding business context, correcting false positives, and overseeing governance policies.

The future therefore lies in a hybrid approach where AI strengthens the capabilities of cybersecurity teams without eliminating the need for human oversight.

How MS Solutions Helps You Secure Your AI Agents

Implementing robust safeguards around AI systems requires in-depth expertise in cloud ecosystems and the regulatory frameworks applicable in Quebec, including the personal information protection requirements under Law 25.

MS Solutions provides specialized services to support your organization throughout every stage of deployment:

• Security posture assessment and IT governance: A comprehensive inventory of your AI integrations, mapping of data flows, and analysis of the risks associated with permissions granted to agents.
• Identity and access management: Configuration of security policies using Microsoft Entra ID to treat each agent as a distinct digital identity, following the principle of least privilege.
• Sensitive data protection: Deployment of governance policies using Microsoft Purview to help prevent data leakage and control access to critical resources.
• Continuous monitoring and incident response: Proactive monitoring and detection of abnormal behaviour through the expertise of our cybersecurity specialists and Microsoft Defender technologies.

With these safeguards in place, your organization can take advantage of the efficiency gains offered by artificial intelligence while protecting the integrity of its IT infrastructure.

Prepare for AI Agents Today

AI agents are expected to play an increasingly important role in digital workplaces. Their adoption, however, should go hand in hand with a clear strategy for governance, identity, access management, and data protection to prevent the proliferation of unmanaged non-human identities across your infrastructure.

For businesses, the best time to establish these foundations is before agents become deeply embedded in day-to-day operations.

Waiting until an incident occurs to map permissions exposes organizations to data leaks, automated execution errors, and compromises caused by prompt injection attacks. Establishing a control framework during the design phase helps ensure that every agent has an identified owner, a clearly defined and limited scope of action, and complete traceability of its decisions.

This security approach is built on proven technology foundations. You can rely on MS Solutions’ managed cybersecurity services to assess your organization’s security posture, continuously monitor suspicious behaviour, and implement strict access control mechanisms.

Similarly, support through our IT consulting services can help align your intelligent automation initiatives with your business priorities and Quebec regulatory requirements, including Law 25.