Today, digital information is more distributed than ever with the wide acceptance of technologies such as the cloud and IoT. As a result, cyber frauds such as phishing, money laundering, and bank fraud are surging worldwide. Such an increasing number of complex cyber-attacks have highlighted the need for robust digital forensic tools. Additionally, the massive use of IoT devices and increased organizational spend in their IT budget for computer and network security further escalate the growth of computer forensics. In fact, a report by MarketsandMarkets reveals that the global digital forensics market will reach $9.68 billion by 2022.
Computer forensics includes identification, collection, preservation, analysis, and reporting on evidence found on personal computers and hard drives. It has received significant attention and recognition from various regulators and government agencies due to the capability to recover data from deleted, encrypted, and password-protected files. Forensic data analysis can also provide insights and analysis competencies to help companies make better business decisions and drive the changes in their organizations. It enables businesses to track any malpractice in the company network or systems and take necessary actions before it becomes a severe threat.
With the constant technological advancement, analysts need to understand the latest technological trends for conducting forensic research. For instance, AI has already made its way into digital forensics, enabling document review and cybercrime detection through a sophisticated algorithm. Businesses need to adopt new tools and technologies to deal with both huge volume and diversity of data for completing a forensic investigation on time. Additionally, cloudbased models or applications are helping in reducing the time taken to process digital evidence. Such models enable investigators to utilize remote virtual environments for investigating digital evidence. Furthermore, digital forensic may shift from datacentric analysis to conduct centric analysis that includes multi-source evidence acquisition, intuitive analysis, relationship analysis, and automatic analysis.
To help businesses adopt the right digital forensic solutions and tools to address modern cyber threats and insider attacks, we present to you “Top 10 Digital Forensics Solution Providers - 2021.”