Deep Instinct: Prevention-First Approach to Storage Protection

Deep Instinct, prevention-first cybersecurity company that stops unknown malware pre-execution with a purpose-built, AI-based DL framework, announced Deep Instinct Prevention for Storage (DPS).

This offering applies a prevention-first approach to storage protection, wherever data is stored – NAS, hybrid, or public cloud environments – and integrates into existing environments to deliver unparalleled efficacy and accuracy along with enterprise-grade scalability.

As businesses continue to digitally transform, applications and services, employees, and customers are generating more data than ever before. The consolidation of information from various endpoints into data repositories has created a one-stop-shop for attackers. In fact, nearly half of senior cybersecurity experts state that ransomware is the greatest threat to their organization’s data security. It only takes one infected file to put an enterprise at risk.

“In today’s evolving threat landscape, threat actors are already leveraging AI to create malware that continuously changes in order to evade detection from traditional cybersecurity tools,” said Yariv Fishman, CPO. “The only way to future-proof your organization, and its data, is to prioritize protection and security of unstructured storage systems – blocking attacks from ever landing in your environment. With the launch of DPS, our customers can now prevent attacks on data repositories and safeguard the integrity and security of their stored data.”

As part of the company’s platform, DPS fills gaps in data protection by applying a DL framework dedicated to cybersecurity. Whenever a file is added or changed in a storage environment, it is scanned immediately. Malicious files are either quarantined or deleted to prevent execution. Legacy solutions are insufficient in protecting data as they provide low detection rates for unknown malware, increase TCO, trigger an avalanche of high false positives, and introduce complexity into the scanning process.

DPS is differentiated from legacy tools on market today in following ways:

• Integration – To ensure smooth deployment and interoperability the solution natively integrates with leading platforms, including Dell EMC (CAVA) and NetApp (VScan).

• Improved efficiency and lower TCO – More than half of security professionals say their stress levels have increased with false positives accounting for over 2 working days of lost productivity per week. With DPS, security teams are equipped with >99% efficacy in preventing unknown threats, a <0.1% false positive rate, and <20ms file scan time.

• Ease of management – DPS is managed via a single console alongside Deep Instinct for Endpoints (DPE) and Deep Instinct Prevention for Applications (DPA). The product supports easy-to-manage policies enabling security teams to control and manage remediation actions. These include quarantine or deletion of malicious files, and the ability to restore from quarantine if needed.

• Compliance ready – DPS proactively enables organizations to meet compliance requirements, including the recent SEC guidelines that require organizations to provide annual cybersecurity risk management, strategy, and disclosures of any cybersecurity incidents. All file scans are logged for easy tracking and reporting. For each malicious file, detailed events are sent to the management console, allowing further investigation of prevented attacks.

DPS for cloud storage, specifically AWS S3, will provide organizations with a holistic approach for storage security across public clouds. This is a critical need for organizations as the amount of data being stored in public and hybrid cloud environments continues to grow exponentially. While cloud vendors protect the storage itself, they do not ensure the integrity or safety of files stored. Deep Instinct safeguards data wherever it is stored with unparalleled efficacy, accuracy, and enterprise-grade scalability.