Market Overview

Deep Instinct Introduces New Analytical Capabilities for Superior Cyberattack Insights and Visibility

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With the rise in malware and new attack vectors, Deep
Instinct
, the first company to apply deep learning to cybersecurity,
has introduced new threat analysis services to provide superior
visibility and analysis of new and emerging threats.

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
incidents. In 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.

"Our predictive threat prevention approach to security equips
organizations with peace of mind because they have the best possible
protection against emerging attack vectors like fileless malware and
coin miners, preventing them in real-time and before any damage can
occur. With the addition of sophisticated threat analysis solutions, we
can now also give those organizations a better understanding of these
threats, as part of our offering."

Not only can deep learning be used to prevent malicious files from
running, it can also provide threat analysis by classifying in real-time
what type of malware is targeting the organization. Deep Instinct's Deep
Classification
capability based on Deep Neural
Network (DNN) ensures that any malware, known and unknown,
is classified rapidly and autonomously. Once malware is detected, it is
scanned again by the classification brain providing results in
milliseconds for the file malware family, without any human involvement.
The Deep Neural Network brain is able to classify between 7 malware
family types: Ransomware, Backdoor, Dropper, Spyware, Virus, Worm and
Potential Unwanted Applications (PUAs).

"The true value of quickly and efficiently classifying zero-day malware
files comes from the immediate knowledge and understanding of the
threat, and the ability to then respond quickly and accurately, saving
time and money," said Guy.

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.

"There is an increasing need to respond to cyberattacks in real-time
with minimal human interaction using AI, and this is the value of deep
learning. It brings a completely new approach to cybersecurity where the
artificial neural network can learn to identify any type of cyber
threat, then detect and prevent attacks in real-time with unmatched
accuracy," concluded Guy.

About Deep Instinct
Deep Instinct is the first company to
apply deep learning to cybersecurity. Deep learning is inspired by the
brain's ability to learn. Once a brain learns to identify an object, its
identification becomes second nature. Similarly, as Deep Instinct's
artificial neural network brain learns to detect any type of cyber
threat, its prediction capabilities become instinctive. As a result,
new, first-seen malware like zero-day, ransomware and APT attacks are
predicted and prevented in real-time with unmatched accuracy.
Using
Deep learning, Deep Instinct offers a predictive threat prevention
platform with multi-layer protection against any known or unknown threat
from any file or fileless attack. Deep Instinct protection can be
applied on any device (endpoints, mobile devices and servers) with any
operating system.
To learn more, visit: http://www.deepinstinct.com
Blog:
https://www.deepinstinct.com/blog/
Twitter:
https://twitter.com/DeepInstinctSec
LinkedIn:
https://www.linkedin.com/company-beta/12904445/

To learn more about Version 2.2, please visit: Deep
Instinct- Book a demo

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