OpenText Forensic is a specialized tool designed for digital investigations, offering robust capabilities to support forensic analysis and secure data handling. It caters to professionals seeking reliable solutions in forensic investigations and digital data management.
| Product | Mindshare (%) |
|---|---|
| OpenText Forensic | 8.0% |
| Cellebrite Digital Intelligence Platform | 27.9% |
| GrayKey | 17.3% |
| Other | 46.8% |
With advanced technology, OpenText Forensic aids investigators in managing digital evidence efficiently. It supports wide-ranging forensic tasks by providing tools that enhance data integrity and security. Professionals use OpenText Forensic for its reliable performance and comprehensive functionality, which assist in managing complex file types and extensive datasets. Its relevance in high-stakes environments makes it integral for forensic professionals striving for precision and thoroughness in their analytical processes.
What are the key features of OpenText Forensic?In sectors like finance, law enforcement, and cybersecurity, OpenText Forensic is implemented to address specific challenges related to digital evidence management. In finance, it aids in identifying fraudulent activities. Law enforcement uses it for capturing and analyzing evidence, while in cybersecurity, it helps track and mitigate digital threats effectively.
OpenText Forensic was previously known as EnCase Forensic.
Office of the Attorney General of Colombia
| Author info | Rating | Review Summary |
|---|---|---|
| Director of Fraud Prevention Brazil at a security firm with 11-50 employees | 4.5 | I use OpenText Forensic for fraud analysis, valuing its flexibility, stability, and cost-saving automation. It's user-friendly and affordable. While I desire easier automation integration, its excellent support makes it a strong solution, rating 9/10. |
| Senior Digital Forensic Expert at Defence Cyber Agency | 4.5 | I find OpenText Forensic extracts more data and is more user-friendly than alternatives. It's my first choice for investigations due to its stability, speed, and ROI, despite needing improved case management and smart device analysis. |
My main use case for OpenText Forensic is analyzing email inboxes to identify fraud and email metadata.
A large Brazilian law firm needed to identify email exchanges, deleted emails, overwritten emails, and email chain histories to prove connections between people, conversations, and shared files.
In this case, it was necessary to validate not only email files but also files that were internal within the company, all to establish connections between the people involved in the investigation.
The best features that OpenText Forensic offers include the flexibility to build my case and structure it the way I want without needing to wait for it to validate the entire disk or mailbox. I can already set it up myself as needed.
Besides this flexibility, I consider it valuable that I now have much greater integration with market tools, and I can also handle the part of automating activities.
OpenText Forensic has positively impacted my organization by helping to more easily identify frauds being carried out within the cases for which we were called in to perform the analysis.
It made these analyses easier by achieving a very large gain in terms of cost reduction because it is a tool that is quite accessible and straightforward to work with. It is extremely user-friendly, and that helps with handling it. Another facilitator is its certifications, which are easy to obtain.
OpenText Forensic could be improved by having automations that are easier to access. In the past it had a builder for internal tools, and if they could create a builder where I could build my own internal actions and direct them to external tools, this would create a much richer ecosystem in terms of integrations.
I have been working in my current field for approximately 15 to 16 years.
OpenText Forensic is very stable.
The scalability of OpenText Forensic is great. If I have a good server, I can perform various internal actions and start services to be executed throughout the day, which is very useful for me.
The customer support for OpenText Forensic is excellent, dating back to the Guidance Software days.
I did not use a substitute tool, but there were tools that worked together, which was FTK.
I have obtained return on investment primarily tied to cost reduction due to the automation part. Since it is a highly automatable tool, I can achieve a very large gain specifically in time, but the team would remain the same.
My experience with the pricing, setup costs, and licensing of OpenText Forensic is that it is one of the most affordable tools on the market, especially when I work with their USB device. I can buy a USB dongle specifically to use in the field or in a lab.
Before choosing OpenText Forensic, I evaluated other options such as Belkasoft.
I advise others thinking about using OpenText Forensic to also pursue the certification, as I am already EnCase certified, which is a certification that is very welcome in the technology world. I would rate my overall experience with OpenText Forensic as a 9.
OpenText Forensic is used primarily for analyzing devices from defense departments on both Linux and Windows PCs. I use OpenText Forensic to extract more data from seized devices compared to other tools. In comparison with Magnet AXIOM, EnCase, and other alternatives, OpenText Forensic consistently provides more data. I begin analysis with all on-premises cases that involve ransomware attacks or data exfiltration-related incidents. Additionally, I frequently use OpenText Forensic for validation purposes and to compare data with other tools.
OpenText Forensic offers excellent features, including a very user-friendly interface that allows me to find data in a systematic way. The questionnaire provided from the client side generates answers on the dashboards, which means there is no requirement to conduct deep analysis to search for that information. Therefore, OpenText Forensic is my first choice to start the analysis of any case.
OpenText Forensic has proven to be very helpful when I correlate data, which significantly improves my daily workflow. Timeline analysis has been particularly useful, as the information recovered from slack space data provided valuable insights.
OpenText Forensic takes less time compared to other tools when parsing emails and logs, which is especially helpful when there are time-critical requirements.
OpenText Forensic has positively impacted my organization. When new investigators are recruited, they gain access to OpenText Forensic and quickly become comfortable with the tool, using it frequently for investigations. The amount of data recovered and extracted from OpenText Forensic is significantly larger compared to other tools.
OpenText Forensic demonstrates excellent speed with no system hanging issues. The tool is user-friendly, and the data recovery and extraction capabilities are superior to other tools, helping me obtain the answers needed for investigations.
OpenText Forensic could enhance several features. After completing investigations, data must be exported to another drive, and case management solutions are needed to handle the data. Implementing improved case management features within OpenText Forensic would allow quick access to previous cases. While some case management capabilities already exist, these features could be significantly improved.
Regarding OpenText Forensic's AI capabilities, governance and security should be the first priority for improvement. Although substantial progress has been made, further enhancement is possible.
I cannot fully rely on OpenText Forensic's AI for forensic investigations, but it does help accelerate the investigation process. However, investigations typically must be started manually because risks cannot be taken in forensic cases.
Additional features similar to IR-related tools such as Falcon EDR could be incorporated to enable more accurate correlation of data, particularly in malware analysis. Overall, OpenText Forensic is already at a good stage, and smart device analysis could also be improved.
I have been working in my current field for fifteen years.
OpenText Forensic is stable.
OpenText Forensic's scalability is good. I do not see issues with handling increasing workloads, whereas other tools such as EnCase experience performance issues, lagging, and system hanging.
I am in touch with several individuals who possess strong technical knowledge and provide real-time support whenever required. I am satisfied with the technical teams of OpenText Forensic. I would rate OpenText Forensic customer support ten out of ten.
Multiple solutions are used because investigating a case requires several tools. I use OpenText Forensic in parallel with Magnet AXIOM and EnCase, and these three tools are typically used for any investigations. OpenText Forensic is my first choice, followed by the other tools.
OpenText Forensic provides significant return on investment. The tool is very helpful in saving money compared to other tools, and it also saves time for my organization.
Regarding pricing, setup cost, and licensing for OpenText Forensic, I typically purchase the tool through third-party vendors and receive support from both the OEM team and the vendor side. For licensing, I prefer a minimum three-year license, and the cost of this forensic tool is not overwhelming and remains within budget.
When evaluating difficulties with OpenText Forensic, I assessed other options such as Magnet AXIOM, which also offers a good dashboard similar to OpenText Forensic.
I would recommend OpenText Forensic to others because of its user-friendly interface for investigators, which is very helpful in any investigation, including very large file images. I feel comfortable investigating terabyte-sized data with this tool. OpenText Forensic has proven to be very helpful. Regarding smart devices, I found OpenText Forensic is not as effective compared to one or more alternatives, so improvement in that area would be beneficial. I rate this product nine out of ten overall.
