Deep Instinct says it aims to help companies and organizations protect themselves against zero-day, advanced persistent threat (APT) and ransomware attacks ‘with accuracy’. Source: Shutterstock

Startup launches ‘first’ deep learning-based cybersecurity solution for macOS

A CYBERSECURITY startup has launched the industry’s ‘first’ macOS deep learning-based solution among a slew of other new product capabilities.

Deep Instinct, which is based in Tel Aviv, Israel and touts itself as the first company to apply deep learning to cybersecurity, also rolled out advanced endpoint protection features based on deep learning supporting multi-tenancy infrastructures for Managed Security Service Providers (MSSPs) and additional value-added threat intelligence services.

In a statement to Tech Wire Asia, Deep Instinct CEO Guy Caspi, said the enhancements mean users benefit from an omni-cybersecurity platform that can prevent, detect and respond to any threat – known and unknown – on any device type, with any OS whether the device is online or offline.

“As the first company to provide deep learning capabilities to cybersecurity, we are well-positioned to arm our customers with the tools they need to combat future threats,” Caspi said.

“With this most recent product release, we are adding even more protection and predictive features to an already advanced omni-platform to be the most sophisticated deep learning solution.”

The enhancements mean users benefit from an omni-cybersecurity platform that can prevent, detect and respond to any threat. Source: Shutterstock

Deep Instinct says it aims to help companies and organizations protect themselves against zero-day, advanced persistent threat (APT) and ransomware attacks “with accuracy”.

With the updated release, the company said it is adding several protection layers to deliver a complete cycle of protection for enterprises. New product capabilities include:

• Multi-tenancy – Provides MSSPs and multi-brand enterprises with the capabilities to manage all entities from the same instance and management console. With this new feature, MSSPs and multi-brand enterprises can service more entities efficiently while always keeping security top of mind.

• Deep learning support for macOS – An industry first, this support extends deep learning’s accuracy and predictive capabilities to protect macOS to ensure all operating systems and devices within an organization are secure.

• Threat Intelligence Services – Automated, periodical threat intelligence reports generated by Deep Instinct’s intelligence team that provide customers with information surrounding events such as ransomware and malware that were prevented. This provides real-time reporting for the most up-to-date threat intelligence.

• VDI support – VDI support for Citrix XenDesktop and XenApp.

The Asian region is starting to see ongoing and significant investment into AI, and recent security emergencies- locally, such as with some of Singapore’s universities, and globally, including viruses like Gandcrab; Samsam and MaMi OSX (macOS)- mean that security issues are top of mind for business leaders.

“Current cybersecurity solutions fail to fully protect against new and sophisticated cybersecurity attacks. Applying deep learning, the most sophisticated branch of AI, enables real-time protection against unknown and evasive cyber-attacks from any source, providing unprecedented protection,” Stuart Fisher, SVP at Deep Instinct, based in Singapore.

“Enterprise security is a never-ending challenge- there will always be new ways that security can be breached, both maliciously and not.”

Deep Instinct says it is committed to continuing and growing its support for customers and partners in region and around the world to help them always stay ahead of the constant evolution of security needs and concerns.

“The product updates have announced last week ensure our customers that we have every touchpoint of their business covered, and that our technology will continue to advance to provide complete protection for security challenges as-yet unseen,” Fisher said.

 

 






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