Are your endpoints protected?
Endpoints are any devices that individuals and organisations use to access and interact with network resources and data. These include (but are not limited to):
- Desktop computers
- Laptops/tablets
- Smartphones
- Servers
Given their critical role, securing endpoints is paramount to maintaining the overall security of your organisation’s network. They have become primary targets of cyber-attacks because they provide attackers with entry points into networks, steal sensitive information, or disrupt operations.
What is endpoint protection?
Endpoint protection, also known as endpoint security, refers to the strategy and set of tools and technologies designed to secure and protect an organisations’ endpoints from possible threats. These threats can include malware, viruses, ransomware, phishing attacks, zero-day exploits, and other types of malicious activities.
Solutions can be deployed on individual devices, managed centrally by an IT department, or provided as a cloud-based service. The goal is to create a multi-layered defence system that combines prevention, detection, and response mechanisms to protect endpoints from whatever threat that may occur.
It can just take a single device to be compromised and lead to data breaches, data loss, and disruptions in business operations. Are you confident every smartphone, tablet, and laptop in your organisation is safe, and not an open door for an attacker?
Protecting your endpoints with Artificial Intelligence (AI)
Using AI for endpoint protection has become increasingly popular and effective in the cybersecurity field. AI-powered endpoint protection solutions help to leverage algorithms and other techniques to enhance threat detection, response, and overall security.
Deep learning is an advanced branch of AI and is inspired by the brain’s ability to learn. Once a brain learns to identify and object, its identification becomes second nature. This is the same for deep learning. The computer is learning, not just memorising or following repetitive instructions, but looking at something it doesn’t know and truly learning all about it, without human interaction.
When applied to cybersecurity, and more specifically preventing endpoint protection, it uses neural networks to instinctively and autonomously predict threats to stop unknown malware and zero-day attacks by identifying and preventing them before they can execute and enter an environment.
Deep Instinct’s zero-day approach to Endpoint protection
From the moment malware executes on the endpoint, it’s a race against time to stop it. Traditional security solutions struggle to detect and respond quickly to unknown threats, taking minutes, hours, or even days — during which time the malware has succeeded, and your environment is compromised.
Deep Instinct’s Prevention for Endpoints product takes a proactive approach to improve your overall endpoint security effectiveness and efficiency to reduce risk and lower overall TCO (total cost of ownership). With a uniquely architected deep learning based solution they prevent over 99% of unknown zero-day threats, in less than 20m milliseconds.
Deep Instinct has pioneered the use of deep learning in cybersecurity to prevent known and unknown malware, zero-day exploits, ransomware, and common script-based attacks for the broadest range of file types, faster and with less than 0.1% false positives – saving your security teams’ valuable time!
