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Avoid Cybersecurity Threats

Aug 31, 2018 | Sharing

Deep Instinct’s approach to security predicts and prevents the latest threats before any potential damage can occur. Its new threat analysis services leverage deep learning capabilities to provide better visibility and understanding of threats as they are discovered. This offering features Deep Classification to provide automated, real-time malware classification without human involvement, and an Advanced Threat Analysis to provide a greater level of detail around threat incidentsIn addition, the detailed Deep Threat Analysis Report, delivers in-depth findings, insights, statistics, highlights and assessment on the latest threats found in the organization network and adds malware analysis for each malicious campaign found.

“Cybersecurity threats are evolving so quickly that most IT departments and SOC teams can’t keep up – so they become concerned for the state of their organizational security,” said Guy Caspi, CEO, Deep Instinct.

The addition of the Advanced Threat Analysis provides a tool set that performs advanced analysis on top of threats found in the organization, as part of the D-Appliance management console. It includes static analysis, sandboxing analysis, screenshots and network dump of the potential threats.

The introduction of Deep Instincts’ Deep Threat Analysis Report, also part of its new threat analysis services, gives organizations a stronger line of defense by helping them better understand more about thwarted attacks on their environment. The executive report enables visibility of prevented threats almost instantaneously, unlike lengthy delays organizations experience expect with similar reports, enabling a clearer view of the threat environment and saving time and money analysing future dangers.

Deep Instinct has disrupted the traditional cybersecurity market with new levels of accuracy that enable it to predict and prevent new first-seen threats others cannot find. It uses a proprietary artificial neural network inspired by the brain’s natural ability to learn and is the first of its kind to be applied to cybersecurity. It scans 100% of the raw data sets with unprecedented, industry leading precision to protect against zero-day threats and Advanced Persistent Threat (APT) attacks, while ensuring lowest false positives and an overall safer organization.

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