Computer Forensics: Everything You Need To Know

Every day, thousands of people become victims of cyberterrorism, online fraud, and crimes beyond white-collar offenses. That’s why law enforcement agencies combine traditional investigations with digital evidence to combat these and secure cyberspace.

But how do we collect digital evidence?

Computer forensics has emerged as a modern technology to identify, extract, document, and preserve data stored on digital devices. This ensures the data is presented in authentic and undamaged form at the court of law.

Let's see the steps involved in computer forensics, its various types, and some key challenges.

What is computer forensics?

Computer forensics is a post-incident analysis that involves analyzing recovery, documentation, and presentation of digital evidence. As crimes like cyberstalking and harassment increase, advances in computer forensics are becoming increasingly important.

This progress will drive growth in the cybersecurity industry, which is expected to reach $185.70 billion in revenue by 2024.

To perform computer forensics the right way, you must consider the following points:

(Related reading: digital forensics.)

How computer forensics works

Any data that is unreliable or compromised cannot be used in court or other justice systems. To avoid that, computer forensics is an excellent threat detection and recovery tool that helps ensure the data is ready to be used.

Here are five core investigation phases involved in computer forensics to make sure digital evidence meets legal standards:

Step 1. Pre-process

Before data collection and investigation, computer forensics examiners must complete the following pre-process steps:

Step 2. Acquisition

In the second phase, they must acquire data from a suspect's digital devices. These devices may contain files or documents that can help resolve legal matters.

That’s why the forensic examiner thoroughly searches these devices and seizes them if they're relevant to the investigation. This helps them collect and transport relevant data securely.

Step 3. Preservation

After data acquisition, the investigation team safeguards the crime-related information and collected evidence to maintain its integrity. They ensure that the documents and ID are readable and traceable.

The team uses appropriate tools and methods to prevent data loss and modifications. In addition, they engage a third party for digital archive management to strengthen data authenticity by introducing an independent layer of verification.

Step 4. Analysis

Aside from finding the source and type of information stored on the device, this phase also includes identifying the real culprit. It can be straightforward if only one person can access the device, but that's not always true.

So, if there are multiple users, forensics teams analyze the following:

These questions help them build a solid case and catch the responsible person.

Step 5. Presentation

In the final phase, the forensic examiner prepares a final report and presents the findings to the authorities. The report includes:

Different types of computer forensics

The type of computer forensics you need to perform depends on the nature of the crime. Maybe you are investigating a malware attack or a phishing attack. Each type of crime requires a different approach and set of tools.

Let’s look at some of the most common types of computer forensics:

Web forensics allows you to trace and attribute security attacks on web applications. You analyze log files from web browsers, servers, and applications to find evidence of cybercrime.

Email forensics. Of attacks reported in quarter one of 2024, more than one-third (37.6% ) were phishing attacks. In such attacks, users receive fake emails with malicious links to steal their identity or install malware. As a result, email forensics is used to detect such crimes.

Network forensics. Network breaches are on the rise. In 2023, a staggering 19% of all detected cyberattacks involved a network breach. That’s why companies use network forensics to analyze cookies and cache and identify attack sources. This way, you can avoid spam websites and prevent becoming a victim again.

Cloud forensics. While more businesses are adopting cloud computing models, cloud security remains the biggest concern. Cloud forensics addresses these cloud-related privacy crimes. However, since clouds are deployed in different locations, it's quite daunting to seize the physical devices.

Memory forensics allows you to analyze active processes on RAM and volatile memory to extract data where malware might be hidden. The goal is to find when the virus was installed and what its actions were on the system.

Computer forensics: Some key challenges

Computer crime is the ugly truth of the digitally connected world. Unsurprisingly, the IT sector is the most breached sector of 2024. That’s why organizations use computer forensics to find the root cause of these attacks.

However, following are some of the associated challenges with implementing computer forensics:

Computer forensics needs more attention

In 2023, computer crimes resulted in 12.5 billion USD in losses, which will grow if not appropriately handled. Only the rapid pace of technological change and ample funding can bridge the gap and keep you ahead.

Computer forensics is used to handle these crimes. It has many strengths, but some areas still have loopholes. For example, handling cloud evidence is currently the biggest challenge.

Related Articles

How to Use LLMs for Log File Analysis: Examples, Workflows, and Best Practices
Learn
7 Minute Read

How to Use LLMs for Log File Analysis: Examples, Workflows, and Best Practices

Learn how to use LLMs for log file analysis, from parsing unstructured logs to detecting anomalies, summarizing incidents, and accelerating root cause analysis.
Beyond Deepfakes: Why Digital Provenance is Critical Now
Learn
5 Minute Read

Beyond Deepfakes: Why Digital Provenance is Critical Now

Combat AI misinformation with digital provenance. Learn how this essential concept tracks digital asset lifecycles, ensuring content authenticity.
The Best IT/Tech Conferences & Events of 2026
Learn
5 Minute Read

The Best IT/Tech Conferences & Events of 2026

Discover the top IT and tech conferences of 2026! Network, learn about the latest trends, and connect with industry leaders at must-attend events worldwide.
The Best Artificial Intelligence Conferences & Events of 2026
Learn
4 Minute Read

The Best Artificial Intelligence Conferences & Events of 2026

Discover the top AI and machine learning conferences of 2026, featuring global events, expert speakers, and networking opportunities to advance your AI knowledge and career.
The Best Blockchain & Crypto Conferences in 2026
Learn
5 Minute Read

The Best Blockchain & Crypto Conferences in 2026

Explore the top blockchain and crypto conferences of 2026 for insights, networking, and the latest trends in Web3, DeFi, NFTs, and digital assets worldwide.
Log Analytics: How To Turn Log Data into Actionable Insights
Learn
11 Minute Read

Log Analytics: How To Turn Log Data into Actionable Insights

Breaking news: Log data can provide a ton of value, if you know how to do it right. Read on to get everything you need to know to maximize value from logs.
The Best Security Conferences & Events 2026
Learn
6 Minute Read

The Best Security Conferences & Events 2026

Discover the top security conferences and events for 2026 to network, learn the latest trends, and stay ahead in cybersecurity — virtual and in-person options included.
Top Ransomware Attack Types in 2026 and How to Defend
Learn
9 Minute Read

Top Ransomware Attack Types in 2026 and How to Defend

Learn about ransomware and its various attack types. Take a look at ransomware examples and statistics and learn how you can stop attacks.
How to Build an AI First Organization: Strategy, Culture, and Governance
Learn
6 Minute Read

How to Build an AI First Organization: Strategy, Culture, and Governance

Adopting an AI First approach transforms organizations by embedding intelligence into strategy, operations, and culture for lasting innovation and agility.