An Actionable Incident Response Plan Template

A quickstart guide to creating a robust incident response plan – designed specifically for companies with cloud-based deployments.

What is Digital Forensics and Incident Response (DFIR)?

Digital forensics is the process of gathering digital evidence following a cyberattack.

10 minutes read

Main takeaways from this article:

  • Digital Forensics and Incident Response (DFIR) combines the systematic investigation of cyberattacks with proactive measures to mitigate and prevent future incidents, ensuring comprehensive cybersecurity management.

  • The DFIR process encompasses key stages, including data collection, examination, analysis, and reporting in digital forensics and preparation, detection, containment, eradication, recovery, and post-incident review in incident response.

  • Implementing DFIR offers significant benefits, such as preventing the recurrence of security issues, protecting and preserving evidence for legal purposes, enhancing threat recovery, ensuring regulatory compliance, maintaining customer trust, and reducing financial losses from breaches.

  • Advanced DFIR tools, such as Wiz, provide essential capabilities for detecting, investigating, and responding to security incidents by offering unified visibility, real-time monitoring, and automated threat detection across cloud environments.

What is DFIR?

Digital forensics and incident response (DFIR) is a field within cybersecurity that deals with identifying, investigating, and responding to cyberattacks. It combines two key areas:

  • Digital Forensics: This involves collecting, preserving, and analyzing evidence left behind by a cyberattack. This evidence can be things like malware files, log data, or even deleted files. The goal is to reconstruct what happened during the attack and identify the culprits.

  • Incident Response: This focuses on stopping the attack as quickly as possible and minimizing the damage. This includes things like isolating infected systems, containing the spread of malware, and restoring data.

DFIR includes analyzing user behavior and system data to uncover any suspicious patterns. The main goal is to gather information about the event by examining different digital artifacts stored on various systems. DFIR enables analysts to dive deep into the root causes of an incident, ensuring that threats are fully eradicated and that similar attacks can be prevented in the future.

Brief history of DFIR

The roots of DFIR can be found in the early years of IT forensics, when the main objectives were data analysis and recovery. Pioneers in the field focused on extracting and interpreting data from hard drives and other digital storage devices, initially geared toward addressing individual computer crimes and illegal activities. 

As cyber threats evolved, so did the need for digital forensics. The rise of the Internet and complex networks introduced new types of cyberattacks, such as advanced persistent threats (APTs) and widespread malware campaigns, necessitating the development of more sophisticated tools and methodologies, which led to integrating incident response techniques into traditional forensic practices, thus giving rise to DFIR. 

Throughout the 2000s and beyond, the progression of DFIR saw notable advancements in automated tools and software, allowing for faster and more effective threat detection and analysis. Incident response frameworks like the Cyber Kill Chain and MITRE ATT&CK further refined these practices, providing structured approaches for understanding and countering cyber threats. Today, DFIR is integral to cybersecurity, combining cutting-edge technology with methodical investigative processes.

Breaking down the DFIR process

This section breaks down the comprehensive steps involved in digital forensics and incident response, equipping you with the knowledge to handle security breaches methodically.

Digital forensics process steps

1. Data collection

In the data collection phase of DFIR, teams examine various digital sources. System logs can track user activities, program errors, and movement within the system. On the other hand, network traffic provides insights into data flow, revealing potential breaches or abnormal communication patterns. Storage devices, such as hard drives and flash drives, are treasure troves for evidence, holding deleted files, hidden partitions, and more. 

Common tools like Wireshark for capturing network packets or FTK Imager for creating forensic images of storage media are invaluable. Analysis tools such as Splunk and ELK Stack help swiftly parse massive amounts of log data. These methods ensure that all potentially relevant information is collected efficiently and securely.

2. Examination

At this stage, experts scrutinize collected data for anomalies or suspicious activities. They begin rigorously analyzing event logs, registry files, memory dumps, and transaction information. These data elements are combed through to detect anything unusual that could indicate a breach. Each artifact holds critical clues that, when pieced together, reveal the nature and scope of the incident. 

Utilizing sophisticated tools and techniques is essential for a practical examination. Software like EnCase and FTK provides capabilities to zoom in on potential indicators of compromise. Threat intelligence platforms are also employed to cross-reference findings with known threats. By adhering to these best practices, you enhance the likelihood of identifying and mitigating security incidents promptly.

3. Analysis

During the analysis phase, you'll examine the collected digital evidence, which involves scrutinizing event logs, registry files, memory dumps, and other forensic artifacts. Identifying patterns and anomalies is crucial to pinpoint the timeline and mechanics of the incident. For instance, linking IP addresses to unauthorized access can reveal who might be behind the breach. 

Efficient interpretation of this data requires methodical approaches. Use automated tools for initial data parsing, but ensure thorough manual reviews for accuracy. To build a coherent story, correlate data points, such as matching timestamps across various logs, as this diligence aids in understanding the breach and fortifies your preventive measures against future incidents.

4. Reporting

A structured approach ensures clarity and accuracy when documenting digital forensic findings. Start with an executive summary outlining the investigation's key facts, followed by detailed sections covering the methodology, evidence collected, and analysis performed. Provide a clear timeline of events and include charts or diagrams to enhance understanding.

Comprehensive reports should also incorporate a dedicated section for conclusions and recommendations. This section should highlight the incident's root cause, the damage's extent, and specific measures to prevent future occurrences. Use clear, concise language, avoiding jargon whenever possible. The goal is to make the report accessible and actionable for all stakeholders, including non-technical readers.

Incident response process steps

1. Preparation

Assign clear roles and responsibilities within your incident response team to ensure everyone knows their tasks during a security incident. Design detailed incident response policies customized to your organizational structure and the specific incidents you may face. You should document these policies, ensure they’re accessible, and regularly update them to stay aligned with the evolving threat landscape. 

Implement regular training sessions and drills that mimic real-world scenarios. Use these exercises to identify gaps in your procedures and team readiness. Post-incident reviews of these sessions can offer invaluable insights into improving your incident management capabilities. The goal is to create a fluid, coordinated response that reduces downtime and mitigates damage during an incident.

2. Detection and analysis

One of the most effective ways to detect and analyze indicators of compromise (IOCs) is by employing advanced threat detection tools. These tools monitor network traffic, system logs, and user activities to identify suspicious patterns and anomalies. Employ a comprehensive Security Information and Event Management (SIEM) system to aggregate and analyze real-time data from multiple sources, providing a holistic view of potential threats. 

Leverage machine learning algorithms and AI-driven analytics to enhance detection accuracy and speed. To gather in-depth information about the breach, utilize forensic telemetry, such as event logs, registry files, and memory dumps. Use threat intelligence feeds to stay updated on the latest IOCs and adjust your detection mechanisms accordingly. This multi-faceted approach ensures a robust and proactive incident response capability.

3. Containment

Containing threats in a cloud environment requires swift action to prevent lateral movement and further exploitation. One effective strategy is leveraging cloud-native security controls to isolate compromised cloud instances or workloads. This can involve using security groups and network access controls to segment affected areas from the rest of your cloud infrastructure.

Deactivating compromised user accounts, API keys, or misconfigured access points is another critical step, cutting off the attacker's ability to exploit vulnerabilities further. Cloud firewalls, web application firewalls (WAFs), and intrusion detection systems (IDS) can help block malicious traffic and contain threats in real-time.

Rather than relying solely on endpoint detection, focus on Cloud Detection and Response (CDR) solutions that continuously monitor your cloud environment for suspicious activity. These tools detect anomalies across cloud workloads, applications, and storage, allowing for rapid containment actions, such as isolating compromised workloads or temporarily suspending affected services.

Lastly, predefined incident response playbooks should guide your containment steps, ensuring a swift and coordinated effort to mitigate the damage before it spreads further across your cloud infrastructure.

4. Eradication

Removing the identified root cause from all affected systems is crucial to prevent future incidents. To implement this best practice, isolate the infected systems to contain the threat and avoid further spread. Doing so allows for a focused eradication effort without additional risk. Utilize specialized tools to detect and eliminate specific threats, which may involve deploying security patches, removing malicious software, and closing exploited vulnerabilities. 

After performing these actions, verifying complete eradication is essential before recovering. Conduct comprehensive system scans and utilize integrity-checking tools to confirm no lingering threat traces exist. Continuous monitoring solutions can help identify anomalies that indicate the threat's persistence, ensuring your systems are secure before moving forward.

5. Recovery

Begin by thoroughly analyzing the affected systems and identifying the incident's root cause. Doing so involves examining logs, network traffic, and compromised accounts to ensure you notice everything. Once you identify the root cause, focus on patching vulnerabilities and applying necessary updates to eliminate security gaps. 

Next, you should implement additional security measures such as network segmentation, enhanced monitoring, and stricter access controls to prevent future breaches. Regularly update antivirus software and ensure all systems comply with the latest security protocols. Engage your IT and security teams in frequent training sessions on the latest threat hunting intelligence to stay ahead of potential attacks. By following these practices, you can restore your system's integrity and prevent similar incidents in the future.

6. Post-incident review

Collect all relevant data and evidence, including logs, alerts, and user activity during the incident. Work collaboratively with your team to pinpoint the root cause, scrutinize the timeline of events, and assess the effectiveness of the actions of incident responders. This report should include detailed findings, an analysis of the incident, and precise documentation of what you did well and where improvements are needed. 

Once you complete the post-incident report, it's crucial to turn insights into actionable strategies. Prioritize addressing identified vulnerabilities and refining endpoint security measures based on lessons learned. Implement targeted training to rectify human errors, update incident response plans, and ensure the entire team is well-versed in new protocols. By continuously improving your defenses, you will prevent similar incidents in the future.

Benefits of DFIR

Organizations can reap multiple benefits when implementing DFIR, but here are the top six:

  • Preventing issue recurrence: DFIR reduces the odds of security incidents occurring in the future by acting as an informative feedback loop. It enables you to proactively improve your security posture by identifying and remediating the root cause of an issue.

  • Evidence protection during threat resolution: DFIR guarantees digital evidence integrity and preservation, which is crucial for an investigation after the incident—and for the prosecution of cybercriminals.

  • Improved assistance during litigation: DFIR offers thorough records of security events, supporting businesses in court cases and adhering to regulations.

  • Enhanced approach to threat recovery: By reducing downtime, effective DFIR enables quick recovery from security incidents, which can reduce business impact.

  • Compliance and reporting: DFIR helps organizations meet regulatory requirements and improve transparency through detailed reporting of incidents, ensuring compliance and providing a clear, documented path that showcases thorough investigation, accurate evidence gathering, and effective communication of findings and actions taken.

  • Reduced financial loss: Swift DFIR actions can considerably mitigate the economic impact of security breaches by rapidly containing threats and minimizing potential damage, reducing costs associated with data loss, downtime, and recovery operations.

Challenges faced during DFIR

DFIR teams face several challenges when responding to cyber incidents. These challenges require swift action, specialized tools, and constant vigilance to ensure effective threat mitigation.

Here are some of the key challenges:

  • Data volatility: Capturing volatile data during an incident is challenging because entities can quickly alter it, or you can lose it, requiring immediate and precise action to prevent essential evidence from being changed or disappearing entirely.

  • Scale and complexity: Modern IT environments' vast scope and complexity make DFIR more challenging. It requires specialized tools and expertise to efficiently manage diverse systems, vast data volumes, and dynamic cyber threats. 

  • Time sensitivity: Rapid response times in DFIR are crucial to minimizing damage, preserving crucial evidence, ensuring operational continuity, preventing further compromises, and enhancing an organization's security.

  • Evolving threats: The constantly changing threat landscape requires DFIR teams to stay updated on new attack techniques and vulnerabilities, ensuring they can effectively mitigate and respond to emerging cyber threats.

Types of DFIR tools

The effectiveness of DFIR largely depends on the tools used during the incident response process. DFIR practitioners rely on specialized technologies to support various cybersecurity elements like threat intelligence, forensic investigation, and security monitoring.

These tools help businesses quickly identify, investigate, and mitigate cybersecurity incidents, minimizing damage and protecting digital assets.

  • Forensic analysis platforms: These tools allow DFIR professionals to extract, preserve, and analyze forensic data from various sources during investigations.

  • SIEM solutions: Security Information and Event Management (SIEM) platforms aggregate and correlate security event data, offering real-time monitoring and alerting to help organizations swiftly respond to incidents.

  • Cloud detection and response (CDR) tools: CDR solutions enhance cloud-based DFIR capabilities by identifying and investigating suspicious activity within cloud environments, reducing security risks.

  • Malware analysis tools: These tools aid in identifying, containing, and resolving malware-related incidents, ensuring effective incident recovery.

Wiz's approach to DFIR in the Cloud

Wiz offers powerful capabilities to support DFIR in cloud environments. The platform's end-to-end cloud forensics tools, runtime sensors, and robust CDR capabilities significantly boost an organization's ability to respond effectively to cloud security incidents. Let's take a closer look:

Automated Evidence Collection

Wiz provides automated forensics capabilities that can significantly speed up the incident response process. When a potential security incident is detected, Wiz allows security teams to:

  • Copy volumes of potentially compromised workloads to a dedicated forensic account with a single click.

  • Download a forensic investigation package containing important security logs and artifacts from the affected machine.

This automated approach saves crucial time compared to manual evidence collection processes that can take hours or days.

Root Cause Analysis

Wiz offers automated root cause analysis to help incident responders quickly understand how a breach may have occurred:

  • It can identify vulnerabilities, misconfigurations, and other security issues that may have led to the compromise.

  • The system provides context about the exposure and risk of vulnerabilities.

Blast Radius Assessment

Wiz's Security Graph feature helps determine the potential impact of a security incident:

  • It maps out relationships and dependencies between cloud resources, showing which other assets may be at risk.

  • The tool can trace potential attack paths, revealing how an attacker might move laterally within the environment.

Runtime Monitoring

For organizations using Wiz's Runtime Sensor:

  • It provides additional context about suspicious activities in runtime, such as events performed by a machine's service account.

  • A runtime forensic package can be generated, including information on running processes, executed commands, and network connections.

Incident Response Workflow

Wiz streamlines the incident response process by:

  • Providing a unified platform for security and incident response teams to collaborate.

  • Offering remediation instructions for identified issues.

  • Integrating with existing security tools and workflows.

By automating many aspects of the DFIR process and providing comprehensive visibility across cloud environments, Wiz helps security teams respond to incidents more quickly and effectively.

Cloud-Native Incident Response

Learn why security operations team rely on Wiz to help them proactively detect and respond to unfolding cloud threats.

Get a demo 

Continue reading

What is Cloud Data Security? Risks and Best Practices

Wiz Experts Team

Cloud data security is the comprehensive strategy of preventing data loss or leakage in the cloud from security threats like unauthorized access, data breaches, and insider threats.

Effective Permissions: A Security Review

Wiz Experts Team

In this article, we will explore the challenges of managing permissions, the risks associated with improper access controls, and how major cloud providers handle permissions. We’ll also take a look at best practices and advanced solutions like cloud infrastructure entitlement management (CIEM).

Source Code Leaks: Risks, Examples, and Prevention

Wiz Experts Team

In this blog post, we’ll explore security measures and continuous monitoring strategies to prevent these leaks, mitigating the risks posed by security vulnerabilities, human error, and attacks.

What is Cloud Risk Management?

Wiz Experts Team

In this article, we’ll explore what cloud risk management entails and take an in-depth look at the tools that can keep your systems safe.