Agentic AI Cybersecurity: New Approaches, Use Cases, and Statistics

Quick Note on Agentic AI Cybersecurity Definition and Importance

Agentic AI Cybersecurity Definition:

To put it simply, Agentic AI cybersecurity refers to the utilization of autonomous artificial intelligence (AI) agents to predict, detect, analyze, and react to cybersecurity threats and attacks without manual human intervention.

Agentic AI cybersecurity models are capable of learning how to interact with various environments, tools, sensitive data, and other agents, making them perfect cybersecurity defenders. On the other hand, the fully autonomous nature of agentic AI cybersecurity solutions poses multiple risks associated with uncontrolled actions. Therefore, businesses should prioritize a dual agentic AI cybersecurity strategy that defends both against and with agentic AI.

The Importance of Agentic AI Cybersecurity:

• Agentic AI cybersecurity solutions can serve as both autonomous defenders and collaborators to assist human cybersecurity agents.
• Agentic AI cybersecurity models react to emerging hazards in literally seconds, significantly cutting the time needed to address threats.
• Adept at advanced security alert triaging, agentic AI cybersecurity solutions help to sort and categorize emerging threats, prioritizing important ones from the overwhelming alert noise.
• As reported in the recent study by Nir Kshetri, AI agents operate through several interconnected modules, thereby ensuring effective functionality.

Agentic AI Cybersecurity Innovations & News

Needless to say, agentic AI cybersecurity is on the rise, so here is the freshest portion of agentic AI cybersecurity news and innovations worth your attention:

• In September 2025, Microsoft researchers unveiled a new project they are currently working on: a new class of video AI agents aimed at exploring three-dimensional spaces for enhanced decision-making.
• At Fal.Con 2025, a leading US cybersecurity company CrowdStrike introduced a new agentic AI cybersecurity workforce based on the Charlotte framework that enables humans to manage the SOC (analyst assistance, partial automation, conditional autonomy) and humans & AI agents to orchestrate the SOC (high autonomy/full autonomy).
• Devabit reports that one of the latest trends in agentic AI cybersecurity is multi-agent collaboration, intended to solve comprehensive problems that require advanced capabilities that go far beyond those of single-agent systems.
• According to CXO Today, agentic AI cybersecurity solutions can solve the talent crisis in the cybersecurity sector (based on a recent IBM report claiming 48% of companies are facing a security skills shortage).
• This year, IBM introduced the Autonomous Threat Operations Machine (ATOM), an agentic AI cybersecurity system that provides autonomous threat triage, analysis, and remediation with minimal to no human intervention.
• In July 2025, Google added agentic AI capabilities to its open-source collaborative digital forensics platform, leveraged for cybersecurity (Timesketch).

Agentic AI Cybersecurity Use Cases

Dynamic Pricing & Capacity Management Platform for US Automotive Service Centers

Devabit, a trusted automotive software development, data management, and AI implementation provider, has recently introduced its latest project, empowered by agentic AI and machine learning (ML) capabilities. In a nutshell, the solution is designed to enable convenient maintenance and repair appointment booking for BMW, Honda, and Ford cars while applying airline industry revenue management techniques to organize price service requests, streamline technicians' workflows, and maximize service centers' profit by offering specific discounts for unpopular time slots. The platform utilizes agentic AI for enhanced data analytics and custom recommendations.

Speaking of agentic AI cybersecurity, the solution handles large amounts of vulnerable automotive data like personal info, car vehicle identification (VIN) numbers, etc., which is why the devabit dedicated development team implemented robust agentic AI cybersecurity models to prevent data leaks. Summing up, this dynamic pricing and capacity management platform is equipped with comprehensive real-time threat detection and response algorithms powered by agentic AI.

Famous AI Security Examples

• Being one of the most popular AI security examples, Google Gmail blocks millions of phishing emails using agent-based AI & ML models.
• Microsoft integrated AI Security Copilot with its threat intelligence to empower security teams with faster cyber threat incident response, timely threat detection and classification, and intelligence gathering.
• CordenPharma, a large pharmaceutical company, leverages agentic AI to block crypto-mining malware, thereby preventing data exfiltration.
• EvenflowAI, a large automotive dealership partner, uses agentic AI for predictive vehicle maintenance, advanced reporting capabilities, and automotive data protection.

Agentic AI Cybersecurity Statistics

• The global agentic AI cybersecurity market has reached the point of nearly $30 billion in 2025 (with expected growth trajectory up to $150 billion during the following decade).
• In 2025, 90% of enterprises have already adopted AI agents, with 79% anticipating full-scale deployment within the next three years.
• By 2028, at least 15% of daily work decisions (including cybersecurity decisions as well) will be handled autonomously through agentic AI (compared to 0% in 2024).
• By 2026, agentic AI cybersecurity is expected to improve SOC efficiency by up to 40% (compared to 2024).
• According to Darktrace, agentic AI cybersecurity reduces triage time by 90%.
• Agentic AI cybersecurity operations automate 98% of security alerts and shorten the threat containment period to under 5 minutes.

On a Final Note of Agentic AI Cybersecurity

Agentic AI cybersecurity is no longer a buzzword — it is the reality we live in today. From worldwide-known AI security examples like Microsoft Security Copilot to more niche yet equally interesting applications of agentic AI cybersecurity, like a dynamic pricing & capacity management platform developed by the devabit dedicated developers, you can easily find a glimpse of agentic AI in nearly every sector. At the end of the day, it is essential to remember: the agentic AI cybersecurity area can be both an opportunity and a threat, depending on the way your organization implements it.

Seeking to take the most out of an agentic AI cybersecurity framework while keeping your organization safe and sound? We know how to do it right (with minimal risks). Backed by years of experience working with multiple domains, including healthcare, automotive, fintech, localization, e-learning, and e-commerce sectors, to name a few, our team stands at the forefront of digital innovation and recent AI advancements. Let's talk and tailor AI to the right solution for your team.