Agentic AI refers to artificial intelligence that can make decisions and take actions autonomously to achieve defined goals. These systems combine reasoning, planning, tool use, and interaction with other systems.

How does Agentic AI work in practice?

In practice, Agentic AI may consist of one or more AI agents that retrieve information, send requests, change configurations, or trigger processes based on context, rules, and predefined constraints.

How is Agentic AI different from traditional AI?

While traditional AI often analyzes data or provides recommendations, Agentic AI can act on its own. This makes it more powerful—but also increases risk if not properly controlled.

What security challenges does Agentic AI introduce?

As AI systems gain the ability to act, risks related to misuse of access, unintended actions, and lack of traceability increase. Strong governance, access control, and monitoring become essential.

Sicra helps organizations assess and mitigate risks related to the use of Agentic AI, especially where AI systems have access to sensitive data, systems, or external interfaces. Security consulting Supports risk assessments, governance models, and secure adoption of advanced AI. Read more about "Security consulting" here > Zero Trust architecture Limits and controls what AI systems can access, based on identity, context, and continuous verification. Read more about "Zero Trust architecture" here > Access management – Identity and access management (IAM) Ensures proper identity and permission control for AI agents and services. Read more about "Access management – Identity and access management (IAM)" here > Access management – Privileged access management (PAM) Protects and monitors AI systems with elevated privileges. Read more about "Access management – Privileged access management (PAM)" here >

Agentic AI

What is agentic AI?

Agentic AI refers to artificial intelligence systems that go beyond analysis or recommendations by making decisions and taking actions to achieve specific objectives. These systems combine reasoning, planning, tool usage, and interaction with other systems.

In practice, agentic AI may consist of one or more AI agents performing tasks such as retrieving information, modifying configurations, sending requests, or triggering workflows based on context and predefined rules.

Agentic AI can be compared to a digital employee: it understands the task, evaluates the situation, and acts independently within defined boundaries.

Sicra and agentic AI

Agentic AI introduces new opportunities — but also new security challenges. As AI systems gain the ability to act autonomously, the need for access control, governance, and monitoring increases.

Sicra helps organizations assess and manage risks related to agentic AI, particularly when such systems have access to sensitive data, critical systems, or external interfaces. Through services such as Security consulting, Zero Trust Architecture, Identity and Access Management (IAM), Privileged Access Management (PAM), and security monitoring via Sicra SOC MDR powered by Arctic Wolf, Sicra supports secure and responsible adoption of advanced AI.

Agentic AI

What is agentic AI?

Sicra and agentic AI

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