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. For instance, instead of just flagging a 'failed login,' our platform begins to ask intelligent, contextual questions:

• Was it a user who typically works at this time?
• Is the IP address new or suspicious?
• Did this user recently access sensitive files or perform an unusual number of downloads?

By automatically connecting these behavioral dots, our agentic AI doesn’t just generate alerts, it builds a narrative. It learns what's typical, detects meaningful deviations, and constructs threat scenarios with context and continuity. This storytelling ability allows for rapid identification of suspicious patterns like compromised credentials or insider threats without requiring manual correlation across logs and systems.

This intelligent behavioral understanding led to the creation of our Adaptive MDR solution — not just a detection engine, but a purpose-built system that observes behavior over time, correlates diverse signals across models, and delivers deep, evolving situational awareness.

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:

Security teams today are dealing with more data, more tools, and more sophisticated threats, but with the same or fewer people. Here’s how Netenrich helps you stay ahead, not just afloat:

• Overwhelmed by noisy alerts and unclear signals?

  With Adaptive Situational Awareness, your team gets fewer, smarter alerts. Our AI constantly learns what matters in your specific environment, so you focus on the signals that count, NOT the noise that drowns you.

• Still chasing incidents manually, one alert at a time?

  Proactive Threat Insights cut through the noise by understanding behavioral patterns over time. Instead of reacting to random blips, you're alerted to emerging threats with real context, and enough time to respond.

• Still struggling with blind spots across your environment?

  From endpoints and identities to cloud workloads and APIs, our behavioral models connect the dots across your stack, so attackers don’t hide in the gaps

• Struggling with stale or brittle detections?

  We keep your detection logic and data pipelines aligned with your evolving environment. Continuous engineering ensures your detections aren’t just functional; they’re optimized, resilient, and relevant.

• Too many disconnected tools slowing you down?

  Our unified platform streamlines detection, investigation, and response to eliminating swivel-chair fatigue and enabling faster, more confident action across your entire security stack.

• Drowning in data but starved for decisions?

  Our platform blends the speed of AI with expert human insight, delivering context-rich, fast decisions, not just dashboards. You get actionable intelligence, not just information.

• Falling behind new threat techniques?

  Threats don’t wait, and neither do we. Netenrich Adaptive MDR learns and adapts with every new behavior it sees, evolving alongside attackers so your defenses stay effective even as the game changes.

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.