What is Security Operations?

Core Pillars of SecOps

Because SecOps is both a cultural and technical framework, adopting it requires more than just new technology. It requires leadership teams to embrace a three-pronged strategy to address people, process, and technology concerns.

People: Foster a Culture of Shared Responsibility

Adopting SecOps starts with a culture shift. IT, networking and security teams must agree on a new model of shared responsibility. In this new model, both teams are accountable for organizational security outcomes. 

Best practices to build cultural alignment include:

• Adopt shared KPIs: Security and IT both drive towards the same KPIs, such as reducing MTTD and MTTR.
• Identify security champions: Empower security-focused employees to embed security into day-to-day tasks. 
• Hold regular cross-functional meetings: Ensure that IT and security team members regularly align on priorities.

Process: Standardize Workflows With Automation

AI-enhanced tools help SOC teams automate workflows across the entire security lifecycle.

Best practices include:

• Implement continuous threat exposure management (CTEM): CTEM is a five-stage framework defined by Gartner. With CTEM and attack surface management tools, organizations can continuously discover, assess, and prioritize risk based on business impact. 
• Automate Tier 1 triage: Use AI agents to investigate routine alerts. These agents can gather alert context and close false positive alerts without human intervention. 
• Create continuous feedback loops: Use incident reports to fine-tune AI agent playbooks and refine automated response workflows.

Technology: Consolidate and Fine-Tune Your Security Stack

Tool consolidation helps in two ways: it reduces alert fatigue, and it closes the security gaps that arise when teams use multiple security point products. 

SecOps technology best practices include:

• Consolidate your security stack: Replace point products with one platform. This platform should correlate data across identity, cloud, network, and application layers. You’ll want to look for a single platform that handles everything from secure access service edge (SASE) to SecOps and AI security.
• Implement a zero trust architecture: Identity and context-based access controls reduce the attack surface and prevent lateral movement. 
• Reduce alert fatigue: Automatically filter low-fidelity alerts. Fine-tune alert thresholds and set up automated scripts to fix known issues.

SecOps, the SOC, and DevSecOps: What’s the Difference?

Here’s a breakdown of the differences between the SOC, SecOps, and other methodologies.

What’s the Difference Between SOC vs. SIEM?

SOC and SIEM are often mentioned together, but they differ in scope and function. A SIEM is a technology platform for log collection and analysis. The SOC is the operational team that leverages insights from the SIEM.

Key Benefits of Modern SecOps

When organizations adopt SecOps, they benefit from:

• Unified visibility: A modern approach to SecOps centralizes log management, alerts, and insights into a single context graph.
• Reduced response times: With automated workflows in place, teams identify threats faster.
• Cost efficiency: Tool consolidation helps reduce licensing costs, maintenance, and other operational overhead. 
• Strategic growth and resilience: Proactive SecOps defenses help organizations align with compliance mandates.

MTTD, MTTR, and Dwell Time

SecOps effectiveness is measured by several key metrics: 

• Mean time to detect (MTTD): The average amount of time it takes for the SOC team to detect a security threat, operational failure, or bug
• Mean time to remediate (MTTR): How long it takes for a SOC team to identify, contain, and remediate a security threat from the moment that the threat is detected
• Dwell time: The total time a threat actor can access the enterprise environment before being detected

Modern SecOps Challenges

Manual Triage and AI-Driven Attacks

Threat actors now use AI to automatically search for weaknesses and execute attacks at machine speed. According to ThreatLabz research, red teaming experts discovered that “most enterprise AI systems can be breached in just 16 minutes.” (ThreatLabz 2026 AI Security Report). 

That’s a major concern for security operations teams because, according to other research: 

Manual triage is simply not fast enough to protect against these types of attacks.

Alert Fatigue and Tool Sprawl

As enterprises face new security challenges, they’ll frequently adopt new tools to address those issues. But many of these tools don’t natively integrate with each other, which introduces tool sprawl.

In this situation, security engineers and SOC analysts switch between multiple dashboards to gather context from disparate sources. Each point solution also generates its own alerts, which makes alert prioritization a challenge. 

Hiring Cybersecurity Talent

The cybersecurity workforce is severely understaffed. According to the ISC2 Cybersecurity Workforce Study, the global cybersecurity talent pool is short of about 4 million workers. It’s no surprise that 92% of surveyed professionals said there was a skills gap in their company. 

This skills gap puts more pressure on the SOC. Many highly skilled Tier 3 threat hunters must handle Tier 1 triage tasks to keep up with alerts. This draws their attention away from the strategic threat hunting that strengthens security posture over time. 

What Does a SOC Do?

A security operations center (SOC) is a team of security analysts, incident responders, managers, and other technical experts who identify and respond to security threats. 

The SOC operates within a SecOps model, and is responsible for continuous monitoring, reporting, alert triage, incident response, and threat hunting.

Security Operations and the NIST Cybersecurity Framework

The NIST Cybersecurity Framework (CSF) 2.0, published in 2024, is a widely adopted framework that helps organizations evaluate and mature their security operations. A modern SecOps function aligns with the six core pillars of the NIST CSF 2.0: govern, identify, protect, detect, respond, and recover.

Govern: Defines the organization’s risk management strategy and outlines organizational context, roles, and responsibilities. The SOC team aligns on compliance requirements and corporate risk tolerance.

Identify: Catalogs all assets in the organization and discovers key organizational risks. To map the attack surface, the SOC maintains a continuously updated inventory of all assets. 

Protect: Implements proactive security measures to reduce the likelihood of an attack. The SOC enforces zero trust policies, strict identity verification, and granular access controls. 

Detect: Identifies suspicious behavior and other indicators of compromise. 

Respond: Begins immediate incident containment when a breach is identified. The SOC implements inline controls that automatically block access when a threat is detected. Structured incident response playbooks speed up response times.

Recover: Uses post-incident insights to strengthen the organization’s security posture. 

These functions form a continuous feedback loop. For example, when the SOC resolves an incident (Respond), the team immediately updates threat models (Identify), fine-tunes identity access policies (Protect), and refines behavior-based detection rules (Detect). 

The Evolution From SIEM to XDR and Agentic SecOps

Security operations have transformed over the last two decades from relying on manual, playbook-driven processes towards an increasingly autonomous, agentic SecOps model. 

Legacy SecOps was SIEM-centric and highly reactive. Enterprises used their SIEM to collect and aggregate log data from firewalls, servers, and endpoints. The SIEM itself would not analyze data or respond to threats. Instead, SOC analysts would manually correlate events. 

Modern SecOps uses XDR to correlate data across domains including network, cloud, and identity providers. XDR delivers higher-fidelity alerts. When coupled with SOAR, modern SOC teams use XDR to automate responses with pre-configured playbooks. 

This approach speeds up response times, but it still requires human intervention to trigger a playbook. And playbooks aren’t effective if attackers slightly change their TTPs. That’s why SecOps is increasingly moving towards an agentic approach.

What Is Agentic SecOps?

Agentic SecOps is a security operations model that uses specialized AI agents to autonomously complete routine tasks. It doesn’t require human intervention to initiate security workflows or playbooks. Agentic SecOps allows SOC analysts to focus on complex and strategic work. It also reduces incident response times and operational overhead associated with manual security processes.

Agentic SecOps trains AI agents on real-world SOC experience and threat datasets. These agents can dynamically investigate suspicious behavior, prioritize risks, and execute breach containment strategies. 

AI agents handle time-intensive Tier 1 and Tier 2 triage autonomously. With agentic SecOps, SOC teams can reduce their mean investigation times and effectively respond to AI-orchestrated attacks.

What Tools Do SOC Teams Use?

SOC teams use a consolidated tech stack that includes proactive exposure management and reactive threat defense. Core tools include attack surface management, SIEM, SOAR, XDR, and solutions with AI capabilities.

Proactive Exposure Management Tools

Tools like attack surface management (ASM) help proactively address security threats. ASM is a key component of CTEM. CTEM is a framework that shifts organizations from point-in-time vulnerability scanning to continuous, risk-based prioritization of exposures.

Reactive Threat Detection and Response Tools

These tools include SIEM, SOAR, and XDR. Security information and event management (SIEM) is the foundational data aggregator and analytics engine. Organizations must pair SIEM with significant automation because of the sheer volume and complexity of data that these solutions aggregate. 

Security orchestration, automation, and response (SOAR) helps SOC teams manage SIEM alerts. SOAR provides predefined playbooks that automate standard actions.

Extended detection and response (XDR) correlates telemetry to produce contextualized, high-fidelity alerts.

AI-Assisted Threat Detection and Analysis Tools

AI-enhanced correlation and anomaly detection turn threat detection into a proactive, continuous process. 

• User and entity behavior analytics (UEBA) gathers data to understand what normal behavior looks like for each user, cloud workload, and device. The system automatically flags any deviations from normal behavior.
• Contextual alert correlation builds a context graph from isolated events. It analyzes the relationship between events. Then, it groups multiple related events into a single security alert. 
• Dynamic risk scoring applies dynamic risk-weighting to events based on threat intelligence data and asset value. 

How Does a Zero Trust Architecture Enhance SecOps?

A zero trust architecture verifies every user, device, and request before granting access. Security is enforced at multiple layers, which reduces the risk of unauthorized lateral movement. For modern SecOps teams, zero trust adoption is a key preventative measure.

From an organizational standpoint, zero trust champions microsegmentation, context-based authorization, and strict identity verification. Zero trust blocks malicious actors before they can establish a foothold in the organization’s environment. 

With zero trust, the SOC can coordinate detection and response efforts more effectively and capitalize on AI-driven analytics. Security experts can align controls with compliance mandates and deliver robust threat mitigation strategies. Agentic SecOps workflows gain the context-rich telemetry data needed to make automated triage decisions. 

How Zscaler Helps Organizations Enhance SOC Effectiveness

Zscaler processes 750B+ daily transactions across its Zero Trust Exchange. It provides the zero trust telemetry and high-fidelity data that organizations need to adopt modern agentic SecOps.

With Zscaler, organizations get: 

• An unmatched data foundation: The Zero Trust Exchange secures over 750B transactions daily. The platform provides the zero trust telemetry needed to eliminate critical security gaps.
• Proactive exposure management: The platform continuously prioritizes the highest-risk vulnerabilities across all environments.
• Closed-loop remediation: The platform uses inline zero trust controls to immediately contain incidents when threats are verified.