Tech Data Partners with Deep Learning Cybersecurity Platform
Tech Data on Wednesday said it’s partnering with Deep Instinct for its end-to-end deep learning framework for cybersecurity.
The Deep Instinct platform provides enhanced protection by predicting harmful known and unknown cyberattacks, terminating execution and preventing any possible damage.
“We believe artificial intelligence (AI)-based deep learning tools are the next wave in advanced cyberprotection,” said Alex Ryals, vice president of security solutions, Americas, at Tech Data. “Because these tools are autonomous and constantly learning, not only do they require fewer updates, but unlike typical machine learning tools, they also require no additional human intervention and feature engineering, which helps lower support and management costs. Providing options like Deep Instinct to our customers, allow them to be on the cutting edge of security, while enabling them to concentrate on growing their business.”
IDC in November named Deep Instinct one of three emerging vendors with differentiated security solutions in its “IDC Innovators: Artificial Intelligence-Infused Security Solutions 2018” report. “Traditionally, security solutions have put massive focus on prevention; recently the new generation of ‘intelligent’ security solutions are not just playing a role of preventing, but also detecting and responding to cyberattacks in real time,” said Cathy Huang, senior research manager for service and cloud research group, IDC Asia/Pacific.
According to IDC, Deep Instinct emphasizes its unique focus on deep learning techniques to safeguard enterprises against cyberthreats across multiple vectors. It uses a correlated risk model to offer contextualization and can initiate automated remediation if it is determined as a threat.
Deep learning methods are based on layers used in AI neural networks and are modeled after how the human brain learns. Deep Instinct’s deep neural networks learn to predict and prevent all types of cyberthreats, both file-based and fileless, and its prediction capabilities become instinctive. As a result, both known and first-seen malware and advanced persistent threat (APT) attacks are predicted and prevented in zero time. The deep learning-based model also achieves a much higher detection rate and lower false-positive rate for new files, when compared to the best machine learning solutions available, according to Tech Data.
The Deep Instinct product line will be available to partners in the U.S., Canada, and Latin America.