Agentic AI for SecOps: Turbocharge Your Security Operations

The Rise of AI Agents for Cybersecurity in 2025

Cybersecurity in 2025 faces an unprecedented wave of AI-augmented threat actors. Attackers leverage generative AI and automation to launch highly targeted, adaptive, and scalable attacks. Techniques like deepfake-based phishing, synthetic identity fraud, and self-evolving malware are no longer fringe scenarios; they’re mainstream challenges.

Unfortunately, many traditional Managed Detection and Response (MDR) solutions, especially those built on static, legacy detection models fail to keep up. They lack real-time AI-powered threat detection, forcing CISOs to rely on fragmented tools or internal threat hunting capabilities just to close visibility gaps.

What is Agentic AI?

Agentic AI in cybersecurity is rapidly emerging as a must-have for modern SecOps and it refers to autonomous, goal-oriented AI systems capable of perceiving, reasoning, and acting on behalf of human users, especially in complex, dynamic environments like cybersecurity. In the context of Security Operations Center (SOC) and Managed Detection and Response (MDR) refers to AI systems that act autonomously and proactively to detect, respond to, and even remediate security threats with minimal human intervention.

Agentic AI behaves more like an intelligent analyst or responder, not just a tool that serves up alerts. This means 24/7 autonomous decision-making, rapid threat containment, and continuous adaptation to an evolving threat landscape.

In essence, Agentic AI brings us closer to autonomic operations where systems manage themselves with minimal human intervention and the scale needed to meet these challenges head-on.

How Netenrich Turbocharged SecOps with Agentic AI

Traditionally, behavior analytics in the broader market has been centered around anomaly detection identifying deviations from expected patterns in user or system activity. While useful, this perspective is inherently limited. It often reduces the value of behavioral signals to isolated alerts, requiring manual interpretation to reconstruct context and meaning.

From the outset, the Netenrich Engineering team approached behavior analytics as a foundation for situational awareness; a continuous, holistic understanding of how users, systems, and entities behave, interact, and evolve across both enterprise and cloud environments. Our goal extended beyond detection; it was about achieving clarity in a complex and constantly shifting landscape. We aimed to discern not just what is abnormal, but what is typical, what is changing, and what those changes might indicate about emerging threats.

That’s why our platform goes further than merely identifying anomalies. It interprets behaviors in context, leveraging intelligent models to continuously track and understand the activity of users, identities, systems, and services and identify potential threat scenarios proactively, without relying on manual correlation.

This led to our Adaptive MDR solution built not only with an advanced detection engine, but also a purpose-built system designed to continuously observe behavior, correlate signals across multiple models, and develop a deep situational understanding over time.

Real-World Example: Detecting Insider Threat with Agentic AI

Excessive Bitbucket pushes and potential data exfiltration by user suggest risk of insider threat

Over a span of several days, Netenrich detected anomalous behavior involving elevated Bitbucket activity followed by a significant spike in data exfiltration. The repeated Bitbucket push anomalies, followed by a large deviation in outbound data activity, suggested potential insider threat behavior or compromised credentials.

Why it’s unique:

• Though individual signals lacked high fidelity, the agent effectively: Recognized a pattern over time
• Built a threat scenario, seeing this as a potential account compromise or post-exploitation phase
• Surfaced it with reasoning and evidence across signals

The agent exhibited both temporal and behavioral memory, or the ability to encode, store and retrieve information about the sequence and timing of events. It remembered when things happened and in what order nearly impossible to achieve with static alerts.

How Netenrich Delivers AI-Powered Security Outcomes:

• Adaptive Situational Awareness

  Understand what truly matters to your business. Our AI constantly learns your environment to prioritize threats and actions intelligently.

• Proactive Threat Insights

  Stop breaches before they happen. Detect more threats with less noise and focus on what’s critical, not just what’s flagged.

• Continuous Data and Detection Engineering

  Build a strong foundation. Our platform evolves with your environment, ensuring data pipelines and detections remain high-fidelity and relevant.

• Symbiotic Human + AI Intelligence

  Combine AI-scale efficiency with human expertise for decisions that are not only fast but contextually correct.

• Adaptive to Evolving Threats

  The system continuously learns from new threats, behaviors, and organizational changes keeping defenses relevant and effective.

Why Agentic AI Is Critical to AI SecOps in 2025 and Beyond

Agentic AI is not just a technology trend, it's a security imperative. As attackers continue to leverage AI to increase their speed and sophistication, security operations must evolve just as fast. With Netenrich Adaptive MDR and Agentic AI, your organization is not just reacting to threats, you're staying ahead of them.

Our Adaptive MDR solution, powered by Resolution Intelligence Cloud technology, leverages artificial intelligence and big data to deliver customized experiences and data-driven results for every customer. By combining Netenrich’s operational intelligence with the scale, speed, and security of Google SecOps, organizations get a modern, intelligent, and trusted approach to SecOps. Whether you're modernizing your SOC, improving MTTR, or extending visibility across hybrid environments, Netenrich is your strategic ally in 2025 and beyond.

Ready to bring autonomy, speed, and intelligence to your security operations?

Talk to Netenrich Experts

Frequently Asked Questions (FAQs)

1. What is Agentic AI in cybersecurity?

Agentic AI refers to autonomous AI systems that detect, respond to, and remediate threats in real time acting like intelligent analysts with minimal human input.

2. How does Agentic AI improve SecOps?

It enables faster threat detection, automated response, and continuous adaptation reducing alert fatigue and boosting SOC efficiency.

3. What makes Netenrich’s Agentic AI approach unique?

Netenrich combines Agentic AI, behavioral analytics, and Google SecOps to deliver adaptive, outcome-driven security operations at scale.