What is Agentic AI?

What is Agentic AI?

Agentic AI refers to a class of artificial intelligence systems that act with autonomy and purpose. These systems are designed to pursue specific goals, make decisions independently, and adapt to changing environments without requiring constant human input. When people ask, “What is Agentic AI?”, the answer lies in its ability to operate more like an intelligent assistant that not only responds to commands but proactively takes initiative to achieve outcomes.

Unlike traditional rule-based or reactive AI, Agentic AI systems are goal-driven, capable of planning, reasoning, and executing tasks across multiple steps. This makes Agentic AI ideal for complex workflows where adaptability and decision-making are crucial.

CyberSaint AI uses Agentic AI along with LLMs and Graph Neural Nets (GNN) to enhance different processes and approaches. AI is not meant to replace humans, but to streamline manual processes that divert our attention away from pressing and strategic work. 

What is an AI Agent?

An AI agent is a software entity that utilizes AI techniques to perceive its environment, make informed decisions, and take actions to achieve its defined objectives. AI agents can range from simple bots to complex, Agentic AI systems capable of long-term planning and autonomous behavior.

AI agents are often equipped with components such as:

• Perception (input sensors or data ingestion)

• Reasoning (planning and decision-making)

• Action (task execution or output generation)

• Learning (improving performance over time)

What Does an AI Agent Do?

An AI agent performs tasks that typically require human intelligence, but does so autonomously and adaptively. In the context of Agentic AI, these agents:

• Break down large goals into manageable sub-tasks

• Prioritize actions based on context or urgency

• Interact with tools, APIs, or systems to gather data and take action

• Monitor progress and revise plans when obstacles arise

For example, in cybersecurity, an AI agent might detect anomalies, evaluate risk, recommend mitigations, and even execute responses — all with minimal human intervention.

What Are Common Applications of AI?

Artificial intelligence, including Agentic AI, powers a wide range of use cases across industries:

• Customer Service: Chatbots, virtual assistants

• Healthcare: Diagnostics, patient monitoring

• Finance: Fraud detection, algorithmic trading

• Manufacturing: Predictive maintenance, process optimization

• Marketing: Personalization engines, lead scoring

• Cybersecurity: Threat detection, vulnerability management, risk quantification

In these domains, Agentic AI is emerging as a key enabler of autonomous operations and faster, more informed decision-making.

How to Use Agentic AI in Cybersecurity?

Agentic AI in cybersecurity enables proactive, intelligent defense by allowing systems to:

• Continuously monitor and assess threat landscapes

• Prioritize and triage alerts based on business risk

• Suggest or automate responses to reduce mean time to resolution (MTTR)

• Learn from past incidents to improve future responses

Cybersecurity teams are leveraging Agentic AI to move from reactive to risk-based, strategic operations, especially when facing alert fatigue, skills shortages, or complex infrastructures.

How CyberStrong Uses Agentic AI for Cyber Risk Management

CyberStrong, CyberSaint’s cyber risk management platform, uses Agentic AI to bridge the gap between security data and actionable cyber risk insights. Through AI-powered automation and intelligent agents, CyberStrong:

• Automatically maps controls across frameworks using NLP and semantic reasoning

• Ingests real-time security telemetry for continuous control monitoring

  
  

• Prioritizes findings and gaps based on business-criticality

• Supports decision-making through Cyber Risk Quantification (CRQ) and Return on Security Investment (RoSI) modeling

By embedding Agentic AI into the risk lifecycle, CyberStrong empowers security leaders to focus on what matters most, aligning cyber risk strategy with business objectives.