Deep Instinct PREVENTS >99% of UNKNOWN threats like ransomware and zero-days before they land inside your environment – not after. With both an agentless and agent-based approach, we ensure file-based and fileless attacks are prevented. To achieve this, Deep Instinct is pioneering the use of deep learning AI to prevent threats in <20ms, without requiring calls to the cloud for threat intelligence. Our ability to scale to the needs of the enterprise is unprecedented as is our delivery of the industry’s lowest false positive rate of <0.1%.
The Deep Instinct Prevention Platform is highly valued for its ability to provide a prevent-first approach to cybersecurity, allowing for the immediate blocking of threats and reducing strain on security operations centers. It offers compatibility with various IT environments and assets, as well as deep learning-based prevention that eliminates the need for constant updates.
The platform also provides protection against zero-day malware and ransomware and minimizes device performance impact with fewer updates and no weekly scans. Additionally, the platform's prevention features, including conservative policies and the ability to easily tweak and customize them, save time and offer peace of mind. The inline processing and preprocessing capabilities are praised for effectively detecting and intercepting files before execution, while also reducing false positives. The behavioral analysis feature is highlighted for its ability to identify various threat vectors, and the platform's ease of use and intuitive console make it a preferred choice.
Some areas of improvement for the Deep Instinct Prevention Platform include:
- Providing more logging details to understand why certain files are blocked.
- Enhancing the platform's administration and navigation, especially for inexperienced technicians.
- Adding more levels of filtering to prevent malware, adware, phishing attempts, and ransomware.
- Improving the interface by addressing smaller areas of improvement and making it more descriptive and valuable.
- Adding a forensic piece to the platform, allowing for easier root-cause analysis and kill-chain analysis.
- Enhancing logging capabilities to capture more thorough information for troubleshooting.
- Making license clean-up and management easier.
- Providing additional training for administrators.
- Improving the documentation to be more comprehensive.
The Deep Instinct Prevention Platform has provided a significant return on investment for users. It has helped reduce false positive alerts, saving at least 50%. The platform's speed in preventing unknown threats is highly commendable, with its up-to-date algorithms. It effectively prevents hundreds, if not thousands, of threats across the environment. The platform has provided users with more insight into their environment, enabling them to be more proactive.
Users have found the pricing of Deep Instinct Prevention Platform to be reasonable and competitive. They appreciate that there are no additional costs and that the company offers non-profit pricing for organizations like theirs.
The primary use case of the Deep Instinct Prevention Platform is to bolster endpoint security and incorporate the solution into managed services. It is used across various industries, including finance, insurance, and professional services.
The platform is deployed on all endpoint users' machines to protect against various threats such as phishing emails, malicious downloads, and third-party tools. Additionally, it is being tested for suitability in both large enterprise and medium-sized company environments.
The platform is adaptable to remote work situations and provides enhanced controls for individuals' laptops.
The support team is described as collaborative, positive, and diligent in addressing issues. Technical support is said to be responsive, helpful, and quick to answer queries. However, some customers have expressed a desire for more autonomy in conducting their own analysis and root-cause analysis, reducing the need to rely on the support team. Despite this, the technical support is still rated positively, with customers noting that they follow through on tickets and respond promptly, even in complex cases.
The initial setup for Deep Instinct Prevention Platform has some challenges and complexities. However, once the initial hurdles are overcome, the deployment process becomes much easier. It was a cloud deployment, starting small and gradually scaling up by pushing out the MSI package to most machines is ideal.
Some troubleshooting and back-and-forth communication with the DI team was required to resolve issues with the agent's installation and uninstallation.
Some training and understanding of the environment are necessary.
Users have reported that it is easy to deploy not only internally but also across multiple customer environments. They have rated the solution highly in terms of scalability, with one user giving it a nine out of ten. The platform has been able to handle a large number of endpoints and clients without any issues.
Users have also mentioned that deploying the agent and setting up policies is a seamless process. The solution has been successfully used to protect a variety of devices, including laptops, desktops, and potentially Chrome in the future.
The stability of Deep Instinct Prevention Platform has greatly improved with recent upgrades. Users rate the solution highly in terms of stability and reliability. In the past, there were some issues with connectivity and reporting, however, these have been resolved in the newer versions.
Users appreciate the current smoothness of the solution and the fact that all nodes are reporting back.
The Deep Instinct Prevention Platform combines industry-leading static analysis based on the only deep learning framework dedicated to cybersecurity and includes two solutions:
To learn more, visit: https://www.deepinstinct.com.