Apiiro Blog ﹥ What is Agentic AI?
Educational

What is Agentic AI?

Timothy Jung
Marketing
Published March 1 2025 · 2 min. read

Agentic AI refers to artificial intelligence systems capable of autonomously executing tasks, making informed decisions, and interacting with their environment proactively. Unlike traditional AI, which follows predefined instructions passively, Agentic AI actively sets and pursues goals, dynamically adapting to new information and evolving situations.

Why is Agentic AI Revolutionary for Application and Cloud Security and Vulnerability Management?

In today’s digital landscape, applications and cloud infrastructure evolve rapidly, introducing increasingly complex security and compliance risks. Traditional methods struggle to keep pace, as manual security reviews, isolated alerts, and siloed data hinder timely detection and remediation.

Agentic AI transforms this approach by serving as your dedicated AI Security Engineer—intelligently automating threat detection, prioritization, remediation, and prevention of risks across applications, cloud infrastructures, and vulnerabilities of all types.

To effectively manage vulnerability lifecycles (including defining SLAs, managing risk acceptance, reporting, and workflows), organizations must consolidate all vulnerabilities into a unified data lake. This data lake must deeply understand both application and cloud layers to accurately prioritize and manage risk comprehensively.

How Does Agentic AI Function as Your AI Security Engineer?

1. Detection

Agentic AI continuously scans and identifies potential threats in real-time by deeply understanding your code, material changes, configurations, software architecture, and runtime environments. It proactively flags risks that human eyes might miss.

2. Prioritization

With vast amounts of code changes and vulnerabilities generated daily, distinguishing critical risks from benign issues is challenging. Agentic AI leverages contextual insights drawn from your complete software architecture and ecosystem, prioritizing vulnerabilities based on actual risk with contextual impact and likelihood analysis. This analysis considers various factors including data processes within the application, the impact of code changes, deployment locations, internet exposure, CMDB data, organizational structure, developer knowledge, internal policies, and more. This comprehensive approach reduces alert fatigue and sharpens focus on high-risk areas.

3. Remediation

Agentic AI provides actionable remediation guidance tailored specifically to your code, software architecture, and runtime environments. By analyzing the root cause of vulnerabilities and leveraging rich context, it enables faster, more accurate fixes—often automating the remediation process itself.

4. Prevention

Proactive by nature, Agentic AI predicts and mitigates potential security risks before they emerge. By running automated and context-aware threat models during the design phase, it ensures vulnerabilities are identified and resolved even before code is written or changes are deployed. Agentic AI also supports prevention at the pull request stage before code merges, and during the build phase prior to deploying applications to production.

The Importance of Graph-Structured Data

The true power behind Agentic AI lies in its ability to understand context. To achieve this, the data powering Agentic AI must be organized in a connected graph format, known as a data fabric. Graph-structured data captures the intricate relationships between code, runtime environments, security tools, compliance policies, and cloud configurations.

This interconnected data fabric provides comprehensive context, allowing Agentic AI to:

  • Instantly understand complex relationships and dependencies.
  • Identify “toxic combinations” of risks that isolated alerts miss.
  • Prioritize vulnerabilities based on their real-world impact and relationships.
  • Deliver precise and effective remediation recommendations.

Embracing Agentic AI with Apiiro

Apiiro leverages Agentic AI through its advanced Risk Graph data fabric, creating an intelligent, contextual, and automated approach to security. Apiiro not only detects and prioritizes risks effectively but also empowers your teams with actionable insights and proactive strategies to safeguard your digital assets continuously.

Discover how Apiiro’s Agentic AI can revolutionize your approach to application, cloud security and vulnerability management.