Flex Your SOC Muscles with SIEM & SOAR

The first part of the cyber defense dumbbell is SIEM, which is responsible for collecting security data from multiple sources, analyzing it, and generating alerts based on identified threats. It provides security teams with real-time visibility into potential risks and enables better decision-making through correlation and reporting.

SIEM gathers data from three critical sources:

• Endpoint Devices: Laptops, desktops, and email clients continuously generate logs that help detect suspicious activities such as unauthorized access or malware execution.

• Cloud Infrastructure: With businesses shifting to cloud-based environments like AWS, Google Cloud, and Azure, SIEM ensures security events from these platforms are monitored for potential threats.

• Network Devices: Firewalls, servers, endpoint detection and response (EDR) systems, antivirus solutions, and VPNs all feed security logs into SIEM, providing insights into network-level threats such as DDoS attacks, lateral movement, and firewall breaches.

Once data is collected, SIEM follows a structured workflow:

• Data Collection: Logs and events from endpoints, cloud services, and network devices are aggregated in a centralized system.

• Data Enrichment & Storage: The collected logs are enhanced with contextual information such as threat intelligence feeds before being securely stored.

• Correlation & Sensitive Data Masking: SIEM analyzes data patterns and applies correlation rules to detect anomalies while ensuring sensitive information is masked for compliance.

• Alert Generation & Incident Reporting: When an anomaly is detected, SIEM triggers alerts and generates reports, helping security teams prioritize critical incidents.

Beyond alerting, SIEM provides a comprehensive dashboard, reporting capabilities, and compliance alignment with frameworks such as PCI DSS, HIPAA, NIST, GDPR, and MITRE ATT&CK, ensuring organizations remain compliant with regulatory standards.

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While SIEM collects, analyzes, and alerts on security events, SOAR (Security Orchestration, Automation, and Response) takes immediate action to mitigate threats, ensuring rapid and consistent incident response. SOAR is responsible for automating security workflows, coordinating response actions across multiple tools, and reducing the burden on security analysts.

SOAR enhances security operations by integrating with various security tools, including:

• Threat Intelligence Platforms: SOAR cross-references security alerts with real-time threat intelligence feeds, enabling organizations to validate and prioritize threats based on global attack data.

• SIEM & Log Management Systems: SOAR ingests and processes alerts from SIEM, helping teams automate responses and reduce false positives.

• Endpoint Security & Network Controls: SOAR integrates with firewalls, antivirus solutions, and EDR platforms to automate containment actions such as IP blocking, process isolation, and malware removal.

SOAR follows a structured workflow to ensure efficient incident response and automation:

• Threat Enrichment & Contextual Analysis: When SOAR receives an alert from SIEM, it automatically enriches the incident with additional context, such as geolocation data, attack signatures, and reputation scores.

• Automated Response Execution: Based on predefined playbooks, SOAR can automatically take actions, such as blocking malicious IP addresses, quarantining infected endpoints, or escalating incidents to analysts.

• Incident Prioritization & Case Management: SOAR prioritizes security alerts based on severity and impact, assigning cases to the appropriate teams for further investigation.

• Orchestration & Remediation Across Security Tools: SOAR coordinates security actions across firewalls, threat intelligence platforms, endpoint security solutions, and cloud security systems to contain threats efficiently.

By automating repetitive tasks, eliminating manual bottlenecks, and accelerating incident response, SOAR significantly improves SOC efficiency and reduces the mean time to respond (MTTR).

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One of the key limitations in traditional SIEM deployments is incomplete log capture. Many security tools only collect basic metadata, such as source IPs, timestamps, and HTTP headers, but fail to capture the full request and response body leaving security analysts with an incomplete picture of security incidents.

At Certbar, we address this challenge by capturing the full body of GET and POST requests and responses, providing security teams with detailed insights into attack payloads, authentication attempts, and injected malicious scripts.

Why Full Request & Response Logging Matters

• Deeper Forensic Analysis: Analysts can examine entire attack payloads, allowing for better threat detection and understanding of attacker tactics.

• Improved Web Attack Detection: Many web-based threats, including SQL Injection (SQLi), Cross-Site Scripting (XSS), and API abuse, occur within request bodies. By capturing full request and response data, we detect these threats with greater accuracy.

• Reduced Blind Spots: Partial logs often fail to reveal the full attack, leading to missed threats and ineffective incident response. With complete request logging, nothing is overlooked.

Example from Our SOC:

• In this image, you can see that our system captures the entire response body of a brute-force attack attempt on Damn Vulnerable Web Application (DVWA).

• This level of detail allows analysts to reconstruct attack sequences, validate security controls, and fine-tune detection mechanisms.

By capturing every request and response, our SOC ensures that attackers cannot hide their activity, giving security analysts full visibility into threats in real time.

In a security operations environment, balancing data privacy with threat visibility is crucial. Sensitive information such as passwords, session IDs, and authentication tokens must be protected at all costs, but at the same time, security teams need to see attack payloads clearly to identify and mitigate potential threats.

At Certbar, we have developed a unique approach to intelligent data masking that goes beyond simply masking sensitive data. Our system mask sensitive fields by default, ensuring that user data remains secure and compliant. But when malicious activity is detected, we unmask the fields to expose the attack payload, allowing security teams to take immediate action.

Masking for Sensitive Data Protection

Legitimate user credentials and authentication tokens must always remain confidential. To ensure data privacy and meet GDPR, DPDP, PCI DSS, and HIPAA compliance, our system:

• Automatically masks sensitive fields such as passwords, session IDs, authentication tokens, and API keys in all request and response logs.

• Prevents unauthorized exposure of sensitive data while still allowing security teams to analyze the structure of security events.

Example from Our SOC:

• In a normal login request, the password remains masked:

• This ensures that legitimate credentials are never exposed, preventing data leaks and compliance violations.

With this default masking policy, our SOC maintains strong data protection without compromising incident monitoring and log analysis.

Intelligent Unmasking for Threat Visibility

Attackers often exploit input fields like passwords or session IDs to inject malicious payloads, such as SQL Injection (SQLi), Cross-Site Scripting (XSS), and command execution attempts. To combat this, our system:

• Detects when a malicious payload is entered into a masked field.

• Automatically unmasks the field, revealing the attacker’s input for forensic analysis.

• Maintains full visibility into security threats while continuing to protect legitimate user data.

Example from Our SOC:

• If an attacker submits an SQL Injection attempt in the password field:

• Our system automatically unmasks the payload, allowing analysts to see the exact attack attempt while ensuring no legitimate credentials are exposed.