Cybersecurity
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AI rethinks the role of SIEM: automation, AI, and Agentic SOC for more effective enterprise defense

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Cyberattacks are no longer what they were a few years ago: today, cybercriminals and ransomware groups leverage Artificial Intelligence to launch increasingly fast, sophisticated, and difficult-to-detect attacks. Personalized phishing campaigns, adaptive malware, and vulnerabilities exploited in minutes pose a concrete threat to businesses of all sizes. In Italy, sectors like manufacturing and business services are among the most affected, while regulations like NIS2 impose increasingly high security standards.

In this scenario, relying solely on manual monitoring and incident management processes is no longer sufficient: to ensure effective defense, an intelligent, automated, and proactive approach is necessary.

These very topics were at the heart of the event "AI Rethinks the Role of SIEM", organized by BlueIT on June 17th in collaboration with Wazuh, during which industry experts delved into the role of Artificial Intelligence in the evolution of Security Operations Centers and the opportunities offered by Agentic SOC models to improve threat detection and response capabilities.

Why are traditional SOCs no longer enough?

Many Security Operations Centers (SOCs) today face a common challenge: managing thousands of events and alerts from endpoints, servers, networks, and cloud environments.
This complexity creates operational issues that directly impact corporate security. The result?

  • Operational overload for analysts
  • High percentage of false positives
  • Investigation and response times that are too long
  • Difficulty distinguishing a real threat from a harmless event

According to industry statistics, up to 80% of alerts generated by security systems can turn out to be false positives. This phenomenon, known as Alert Fatigue, reduces the effectiveness of security teams and increases the risk of overlooking truly critical events; meanwhile, attackers leverage automation and AI to act in minutes.

For this reason, more and more organizations are evolving towards an Agentic SOC model, a new generation of Security Operations Center based on advanced automation and Artificial Intelligence that collaborate to improve incident detection and response.

What is an Agentic SOC and how does it work?

An Agentic SOC is an advanced security operations center that combines advanced monitoring tools, automatic orchestration, and AI-driven decision-making capabilities. The objective is simple yet strategic: to allow analysts to focus on real threats, leaving repetitive, low-value-added tasks to automation.

Thanks to intelligent automation, the SOC shifts from a reactive to a proactive approach, improving its ability to detect, analyze, and respond to cyber incidents.
The architecture of an Agentic SOC is generally based on three fundamental components:

  1. SIEM for continuous monitoring: solutions like Wazuh collect events and logs from endpoints, servers, applications, cloud infrastructures, and network devices, allowing for the identification of anomalous behaviors and potential indicators of compromise in real time.
  2. Intelligent orchestration and process automation: platforms like n8n automate security workflows, integrating external sources and security tools through dedicated APIs and managing operational activities without human intervention, accelerating data collection, event correlation, and incident management activities.
  3. AI Triage Agent: the most innovative element is the AI Triage Agent, an intelligent agent that analyzes events already enriched with contextual information and provides a structured risk assessment. It can correlate events and indicators of compromise, map attacker techniques, distinguish between false positives and real threats, and finally, generate immediately usable technical and operational reports. This approach follows the principle "Enrich First,Think Second”: data is collected, verified, and enriched through reliable sources, and only then does Artificial Intelligence intervene in the analysis, thus reducing the risk of misinterpretations and ensuring decisions are based on concrete information.

The benefits of AI-based SOC automation

The integration of cybersecurity, automation, and Artificial Intelligence generates immediate benefits on both operational and strategic levels:

  • Comprehensive alert analysis: each event is automatically evaluated, without the risk of important alerts being overlooked due to lack of time;
  • Drastic reduction in false positives: irrelevant alerts can be automatically closed, lightening the workload of analysts;
  • Faster response times: triage and classification activities, which previously took hours, can be completed in seconds, significantly reducing the threat exposure window;
  • Contextualized tickets: specialists receive information already enriched with Indicators of Compromise (IOCs), MITRE ATT&CK correlations, and risk assessment;
  • Increased team efficiency: cybersecurity experts can dedicate their time to strategic activities, advanced investigations, and continuous improvement of the company's security posture.

Cybersecurity and resilience: two sides of the same strategy

Today, business protection is not limited to blocking attacks, and protecting an organization means working simultaneously on two fronts, cybersecurity (to prevent and counter attacks) and resilience (to ensure operational continuity and recovery capability after an incident).

In this context, the adoption of a preemptive security approach is introduced, moving beyond the logic of periodic assessments and incident-only response. Instead, it focuses on the early identification of signals of malicious activity and potentially exploitable vulnerabilities, enabling preventive countermeasures to be implemented before threats materialize into an actual attack. This paradigm significantly reduces the attack surface and exposure time to risk, transforming security into a continuous and adaptive process.

A modern strategy is based on fundamental pillars such as:

  • Perimeter Security
  • Endpoint Security
  • Vulnerability Management
  • Cyber Threat Intelligence
  • Staff Training
  • Identity & Access Management

The Agentic SOC thus becomes the meeting point for these elements, enabling centralized and intelligent security management.

Why Agentic SOC is the next evolutionary step

The evolution of cyber threats requires a paradigm shift: Artificial Intelligence is no longer a futuristic option, but an indispensable tool for tackling the challenges of modern cybersecurity. An Agentic SOC allows for a transition from reactive defense to a proactive strategy to detect, analyze, and neutralize threats with greater speed and effectiveness. Investing today in an AI-powered SOC means transforming cybersecurity from a mere operational cost into a strategic competitive advantage for business growth.

To understand your company's alignment with an integrated cybersecurity and resilience model, BlueIT adopts a structured, results-oriented approach: request your free Cyber Assessment now and discover the maturity level of your security posture. Our experts will help you identify areas for improvement, priority risks, and automation opportunities to strengthen your organization's protection.

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