Sharpen Your EDR.
Deep Learning improves the effectiveness of your Endpoint Detection and Response (EDR) tools by significantly reducing the signal-to-noise ratio and allowing security teams to more quickly identify threats that need investigating and remediation before attackers breach the network.
Fewer False Positives.
Improved EDR Efficiency.
Speed Investigation and Response.
Prevent Threats with Better Classification.
Deep Learning provides faster and more accurate classification of malware to prevent threats while augmenting your EDR with better data to investigate and quicken response. While most security solutions rely on threat intelligence feeds which delay decisions from minutes to days, Deep Instinct accurately and automatically stops malware in <20ms, ensuring threat prevention.
High Fidelity Alerts.
Reduce Load on your Endpoints.
When malicious events like ransomware and zero-day attacks are prevented prior to executing, you significantly scale back the load on your endpoints. Fewer and higher fidelity alerts mean your team can focus on what they need to investigate, understand the source, and determine if a policy needs to be updated or a system hardened.
Why EDR is Not Enough
EDR is not enough to protect organizations from today's most advanced threats, including unknown and zero-day attacks. Learn how Deep Instinct can prevent attacks pre-execution, stopping threats before they enter your environment.