Deep learning prevents malware – and this is guaranteed
With more than 350,000 new malware variants discovered every day and ransomware attacks at an all-time high, there is a greater need than ever to anticipate threat detection and response.
The Deep Instinct Prevention Platform is built on the world's first and only purpose-built deep learning cybersecurity framework.
Deep Instinct – faster than ransomware
Innovative automated deep learning approach saves resources and outperforms malware
Deep Instinct predicts and prevents known, unknown, and zero-day threats in under 20 milliseconds, 750x faster than the fastest ransomware can encrypt. Deep Instinct has a zero-day accuracy of more than 99% and promises a false positive rate of less than 0.1%.
Time, costs, IT specialists are the resources that are increasingly important in the race against cybercrime. Deep Instinct's automated static analysis is based on raw data and enables comprehensive protection without human intervention. Highly efficient automation through new technological approaches enables enormous relief for both security teams and company budgets.
Prevent malware – with a guarantee
Fileless malware infects systems without leaving a trace, making it difficult for detection and response tools to stop contamination before it spreads. Deep Instinct understands the DNA of fileless malware and prevents these elusive attacks, even as they evolve to avoid detection.
Deep Instinct is so confident in its approach that it backs its commitment to 100% stopping ransomware with an >industry-leading $3 million guarantee backed by Munich Re.
Deep Instinct - how does it work?
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Too many false positives tie up unnecessary work time and reduce the motivation of security teams. The deep learning approach reduces these significantly compared to conventional EPP and EDR systems.
Preventing malicious files on the endpoint is critical to fighting the attacker's greatest advantage - time. Deep Instinct predicts and prevents zero-day attacks in less than 20ms - before the attack hits the endpoint. Detection and response tools don't kick in until a zero-day attack shows behavior consistent with an ongoing attack—too late to prevent the compromise. Deep Instinct uses the self-learning capabilities of deep learning to stop unknown attacks faster and with greater accuracy.
Deep Instinct prevents threats at the endpoint and extends prevention without requiring an agent to ensure file integrity of cloud storage and custom applications while protecting the network by eliminating threats at the web gateway.
Protection beyond the endpoints
Deep Instinct preempts the attacker to keep malicious files off cloud storage, ensure custom application integrity, and stop malicious file downloads at the web gateway faster and more effectively.
The Deep Instinct Prevention Platform complements existing security tools like EDR and improves their effectiveness, reducing false positives and offloading SOC teams. With the integration of self-learning automated responses in SIEM, EDR, SOAR, companies not only gain free resources, but also significantly increase their lead over malware.
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Deep Instinct in action
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Watch the video to see how Deep Instinct prevents a CryptBot attack.