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.
