To keep up with the volume, sophistication, and speed of today’s cyber threats, organizations need security operations that can function at machine speed. By applying artificial intelligence as well as integration and automation, organizations can reduce risk and improve efficiency. Advanced threat detection and response capabilities along with centralized security monitoring and optimization can easily be added across the entire Fortinet Security Fabric.
Extended detection and response (XDR) is a natural extension of the endpoint detection and response (EDR) concept, in which behaviors that occur after threat prevention controls act are further inspected for potentially malicious, suspicious, or risky activity that warrant mitigation. The difference is simply the location (endpoint or beyond) where the behaviors occur.
XDR solutions are increasingly popular as organizations recognize the inefficiencies, and in many cases ineffectiveness, of security infrastructures comprised of many individual “best-of-breed” security products deployed from different vendors over time. Common challenges arising from this point-product approach include:
Based on these experiences, many organizations are looking to consolidate security vendors and products in favor of integrated solution sets.
According to Verizon’s 2020 Data Breach Investigation Report Verizon’s 2020 Data Breach Investigation Report, two-thirds of breaches found were from external actors while the remaining one-third involved internal actors.
FortiDeceptor is based on deception technology that complements an organization’s existing breach protection strategy, designed to deceive, expose and eliminate attacks originating from either external or internal sources before any real damage occurs.
Unlike previous generation of viruses that were non-sophisticated and low in volume, antivirus tools were sufficient to provide reasonable protection with their database of signatures.
However, today’s modern malware entails new techniques such as use of exploits. Exploiting a vulnerability in a legitimate application can cause anomalous behavior and it’s this behavior that attackers take advantage of to compromise computer systems. The process of an attack by exploiting an unknown software vulnerability is what is known as a zero-day attack aka 0-day attack, and before sandboxing there was no effective means to stop it.
A malware sandbox, within the computer security context, is a system that confines the actions of an application, such as opening a Word document, to an isolated environment. Within this safe environment the sandbox analyzes the dynamic behavior of an object and its various application interactions in a pseudo-user environment and uncovers any malicious intent. So if something unexpected or wanton happens, it affects only the sandbox and not the other computers and devices on the network. In parallel, any malicious intent is captured, leading to an alert and relevant threat intelligence generated to stop this zero-day attack.
Typical characteristics found in a malware sandbox:
FortiIsolator, Fortinet’s browser isolation platform, adds an additional advanced threat protection capability to the Fortinet Security Fabric and protects critical business data from sophisticated threats out on the web. Content and files from the web are accessed in a remote container and then risk-free content is rendered to users.
Sophisticated threats on the web multiply by the day. It’s nearly impossible to stay current about what threats reside on which pages, and what objects are good or malicious. It can be intimidating to keep up with the proliferation of advanced attacks.
FortiIsolator allows organizations to keep their most critical, high-value targets secure from the onslaught of threats. It allows users to browse the web in an isolated environment, which renders safe content in a remote container. FortiIsolator is a completely remote environment that does not require an install on a user’s computer or device.
Among its many benefits to cybersecurity, Artificial Intelligence (AI) can identify patterns in massive amounts of data, enabling it to detect trends in malware features and make threat classifications much more rapidly than humans can. An AI-based virtual security operations (SecOps) analyst can rapidly detect and respond to security incidents, assisting human analysts and enabling them to operate at a higher level. AI-powered cybersecurity technologies such as this can be a boon to short-staffed security teams affected by the global cybersecurity skills gap.
While Machine Learning (ML) is the most common type of AI used in cybersecurity designed to solve linear problems e.g. perform a task more efficiently and effectively for a specific situation, Deep Learning (DL) is designed to solve larger complex, non-linear problems by modelling the operation of neurons in the human brain.
AI-based learning algorithms fall into three categories: supervised, reinforced and unsupervised. A supervised ML algorithm must be trained on a large dataset of samples labeled as either benign or malicious. In contrast, Deep Neural Networks (DNN), a Deep Learning model uses reinforced learning i.e. an award-based system of learning, during its pre-training and later transitions to unsupervised learning i.e. self-learning, that does not require a labeled dataset for training and maturity. More importantly, lies in its ability to correlate various category of datasets to make decisions.
30 percent of data breaches involve organization insiders acting negligently or maliciously. Insiders pose a unique threat to organizations because they have access to proprietary systems and often are able to bypass security measures, creating a security blind spot to the risk and security teams.
Fortinet’s User and Entity Behavior Analytics (UEBA) technology protects organizations from insider threats by continuously monitoring users and endpoints with automated detection and response capabilities. Leveraging machine learning and advanced analytics, FortiInsight automatically identifies non-compliant, suspicious, or anomalous behavior and rapidly alerts any compromised user accounts. This proactive approach to threat detection delivers an additional layer of protection and visibility, whether users are on or off the corporate network.
Security for networks with IoT
The proliferation of Internet of Things (IoT) devices, has made it necessary for organizations to improve their visibility into what is attached to their networks. They need to know every device and every user accessing their networks. IoT devices enable digital transformation initiatives and improve efficiency, flexibility, and optimization. However, they are inherently untrustworthy, with designs that prioritize low-cost over security. FortiNAC provides the network visibility to see everything connected to the network, as well as the ability to control those devices and users, including dynamic, automated responses.
The IoT revolution has raised a new challenge for network owners. How can you see and protect against a myriad of devices showing up on the network? Network Access Control has come back to the forefront of security solutions to address that challenge. This technology was deployed to assist with bring-your-own-device (BYOD) policies and is now getting renewed focus as a means to safely accommodate headless IoT devices in the network. FortiNAC enables three key capabilities to secure IoT devices:
Collectively, these three capabilities provide the tools that network owners need to secure a world that is embracing IoT. The FortNAC solution protects both wireless and wired networks with a centralized architecture that enables distributed deployments with automated responsiveness.
Secure Network Authentication - Gatekeeping the Network
Establishing identity through secure authentication is key in the implementation of an effective security policy. Many of today’s most damaging security breaches have been due to compromised user accounts and passwords exacerbated by users being provided with inappropriate levels of access.
Identity and Access Management products provide the services necessary to securely confirm the identity of users and devices as they enter the network. Our FortiAuthenticator provides centralized authentication services for the Fortinet Security Fabric including single sign on services, certificate management, and guest management. FortiToken further confirms the identity of users by adding a second factor to the authentication process through physical and mobile application based tokens. The combination of FortiAuthenticator and FortiToken offers a robust response to the challenges today's businesses face in the verification of user and device identity.
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