Introduction: Why Agentic AI?
In the ever-evolving world of artificial intelligence, a new player has stepped into the spotlight — Agentic AI. Unlike traditional models that simply react to prompts, agentic AI systems are designed to take the initiative, make decisions, and pursue goals autonomously. In other words, they don’t just follow instructions — they take the wheel.
Acting as intelligent agents, these systems can plan, adapt, and even negotiate on our behalf, opening the door to unprecedented possibilities in automation, creativity, and problem-solving. Agentic AI doesn’t wait for permission to act.
In this white paper, we dive into the defining traits of agentic AI and examine the emerging protocols that enable autonomous, goal-driven behavior. Through the lens of cybersecurity and risk intelligence, we highlight how these systems can transform the orchestrate intelligent automation, strategic decision-making, and scalable threat analysis.
This short video distills the essence of our white paper.
Click to explore the highlights at a glance.
Key Concepts & Handy Tools to Know (Before You Dive In)
Workflows
Predefined sequences of tasks or rules executed in a fixed order, often requiring human setup and intervention. Workflows follow scripted paths, where agents act in an autonomously.
Agentic AI
Systems that can autonomously plan, decide, and act based on high-level goals, adapting as needed. Capable of reasoning and execution.
MCP
Provides language models with contextual information—such as user goals, memory, rules, and tool access.
Agent Swarm
A group of AI agents that collaborate in a decentralized manner to solve complex problems, inspired by swarm intelligence in nature (like ants or bees).
AI Scaffolding
Architectural structures built around LLMs to help it perform complex tasks reliably and efficiently. Includes tools, memory modules, task planners, control logic and context management systems .
Agent Tools
External functions or APIs that extends its capabilities beyond language processing—such as searching the web, querying a database, or executing code.
LangGraph
A framework for building stateful, multi-agent applications using LLMs, where interactions are structured as graphs of nodes (agents or functions).
CrewAI
A framework that enables collaboration among multiple specialized AI agents ("crew members") through structured teamwork. It assigns roles like project manager, researcher, or writer to each agent.