5 Tools Use Artificial Intelligence For Cybersecurity
Recently, most organizations experienced a severe fall due to undetectable malware, Deeplocker, which quietly avoided a tight cyber security mechanism. Deep locker utilizes AI models to attack target hosts by using indicators such as face recognition, geolocation and speech recognition. This event speaks volumes about the huge role of AI in cyber security domains. In fact, some people even went on to say that AI for cybersecurity is no longer good for owning technology, but rather a need.
Large and small organizations and even startups invest heavily in building AI systems to analyze large data and in turn, help their cybersecurity professionals to identify possible threats and take precautions or immediate actions to resolve them.
If AI can be used to make the system protected, it can also harm it. How? Hackers and bullies can also use it to launch attacks – this will be a much smarter attack – which will be difficult to fight. Phishing, one of the simplest and most common social engineering cyber attacks is now easy to master by attackers. There are many tools on the dark web that can help anyone get phishing. In such experimental conditions, it is very important that organizations take the necessary precautions to safeguard their information castle. What is better than AI?
How do 5 tools use artificial intelligence for cybersecurity:
TAA tool (Symantec’s Targeted Attack analytics):
This tool was developed by Symantec and is used to uncover hidden and targeted attacks. It applies AI and machine learning to the processes, knowledge and capabilities of Symantec security experts and researchers.
The TAA tool was used by Symantec to fight a Dragonfly 2.0 attack last year. This attack targeted several energy companies and tried to gain access to operational networks.
The TAA tool analyzes incidents in the network against incidents found on their Symantec threat data lake.
TAA reveals suspicious activities at each endpoint and compiles the information to determine whether each action indicates hidden evil activity. The TAA tool is now available for Symantec Advanced Threat Protection (ATP) customers.
X Sophos Intercept Tool:
The tool, the Intercept X, uses deep learning neural networks that work similar to the human brain.In 2010, the US Defense Advanced Research Project Agency (DARPA) created their first Cyber Genome Program to uncover ‘DNA’ of malware and other cyber threats, which led to the creation of algorithms on the Intercept X.
Before the file is executed, the Intercept X can extract millions of features from the file, conduct in-depth analysis, and determine whether the file is benign or dangerous in 20 milliseconds. This model is trained about real-world feedback and sharing two-way threat intelligence through access to millions of samples provided by data scientists. This results in a high level of accuracy for existing malware and zero-day malware, and a lower false positive level. Intercept X uses behaviour analysis to limit new ransomware and boot-record attacks. Intercept X has been tested on several third parties such as the NSS laboratory and received a high score. It was also proven in VirusTotal since August 2016.
Darktrace Antigena is Darktrace’s active self-defence product. Antigena extends Darktrace’s core capabilities to detect and replicate digital antibody functions that identify and neutralize threats and viruses.
Antigena utilizes Darktrace’s Enterprise Immune System to identify suspicious activities and respond in real-time, depending on the severity of the threat.
With the help of the underlying machine learning technology, Darktrace Antigena identifies and protects against unknown threats as they develop. This does this without the need for human intervention, prior knowledge of attacks, rules or signatures. With such automatic response capabilities, organizations can respond to threats quickly, without disrupting normal business activity patterns.
The Darktrace Antigena module helps manage user and machine access to the internet, messaging protocols and machine and network connectivity through various products such as Antigena Internet, Antigena Communication, and Antigena networks.
IBM QRadar Advisor:
QRadar Advisor IBM uses IBM Watson technology to fight cyber attacks. Using AI to automatically investigate indicators of all compromises or exploits. QRadar advisors use cognitive reasoning to provide critical insight and further accelerate the response cycle. With the help of IBM QRadar Advisor, security analysts can assess threat incidents and reduce their risk of losing.
IBM QRadar Advisor features
Automatic incident investigation
The QRadar advisor with Watson investigated threat incidents by mining local data using what could be observed in the incident to gather a broader local context. This then quickly assessed the threat about whether they had passed a layered or blocked defence.
Give smart reasons
QRadar identifies possible threats by applying cognitive reasoning. It connects threat entities associated with genuine incidents such as malicious files, suspicious IP addresses, and malicious entities to attract relationships between these entities.
High priority risk identification
With this tool, one can get critical insights about an incident, such as whether the malware has been executed or not, with supporting evidence to focus your time on the threat of higher risks. Then make a quick decision about the best response method for your business.
Key insights about users and important assets
QRadar IBM can detect suspicious behaviour from people through integration with the User Behavior Analysis Application (UBA) and understand how certain activities or profiles affect the system.
The Cognito Vectra platform uses AI to detect attackers in real-time. It automates the detection of threats and hunting for secret attackers. Cognito uses a behaviour detection algorithm to collect network metadata, logs, and cloud events. It further analyzes these events and saves them to reveal hidden attackers in the workload and user / IoT devices.
Cognito Detect reveals hidden attackers in real time using machine learning, data science, and behavioural analytics. Automatically triggers responses from existing security enforcement points by pushing dynamic incident response rules.
Cognito further accelerates the detection of incident investigations with a context that can be followed up on compromised devices and workload over time. This is a quick and easy fix to find all the devices or workloads accessed by the infiltrated account and identify files involved in exfiltration.
Just like diamonds cut diamonds, AI cuts AI. By using AI to attack and prevent on both sides, the AI system will learn different and newer patterns and also identify unique deviations for security analysts. This gives the organization to complete attacks on the road long before reaching the core. Given the pace of AI development and machine learning, the days when AI will redefine the entire cybersecurity ecosystem are not too far away.