Recently, many organizations experienced a massive fall due to the attack by undetectable malware, Deeplocker.
The malware managed to avoid a robust cybersecurity mechanism silently.
Deep locker leverages artificial intelligence models in attacking target hosts through utilizing indicators like speech recognition, geolocation and face recognition.
This attack shows the role of artificial intelligence in cybersecurity domains.
Both small and large organizations, as well as startups, are currently investing considerably in developing an AI system for analyzing massive data sets.
This effort is expected to assist their cybersecurity experts in identifying possible threats in a bid to take precaution or instant action to resolve them.
If artificial intelligence (AI) can be utilized in protecting the system, it can harm it as well.
Both cyber bullies and hackers can use the technology in launching malicious attacks, which will be difficult to combat.
Attackers can easily master Phishing, one of the most common and simplest social engineering cyber attacks.
There are numerous tools available on the dark web, which can assist anybody to get phishing.
In these experimental circumstances, it is important that organizations take the right precautions for safeguarding their information, and what better method to do it other than using AI to fight cybercrime
The following are 5 AI cybersecurity tools that are pushing the boundaries in AI and machine learning to fight cybercrime
How do Five Tools Utilize AI Cybersecurity:
1. TAA tool
This tool, also known as the Symantec’s Targeted Attack analytics, was created by Symantec and is leveraged in uncovering both targeted and hidden attacks.
It applies both machine learning and artificial intelligence to the capabilities, knowledge, and processes of Symantec security researchers and experts.
Symantec also utilized the TAA tool in fighting a Dragonfly 2.0 attack back in 2018.
The attack targeted several energy entities with the aim of accessing operational networks.
The tool helps in analyzing events taking place in the network against those present on the Symantec threat data lake.
TAA shows suspicious actions taking place at every endpoint before compiling the information in a bid to decide if each action points out hidden malicious activity.
Currently, the tool can be accessed by Symantec Advanced Threat Protection clients.
2. X Sophos Intercept – AI Cybersecurity Tool
Back in 2010, the United States Defense Advanced Research Project Agency(DARPA) developed its first-ever Cyber Genome Program with the intention of uncovering the ‘DNA’ of malware among other cyber threats.
This effort resulted in the building of algorithms, particularly on Intercept X.
Before the execution of the file, the Intercept X tool can mine millions of features from the particular file, carry out a comprehensive analysis, and decide if the file is dangerous or benign in 20 milliseconds.
The model receives training on real-world feedback and exchanging (two-way) threat intelligence by accessing millions of samples offered by data scientists.
This process results in a high-level accuracy for both zero-day and existing malware.
Intercept X utilizes behavior analysis in limiting boot-record and new ransomware attacks.
The tool has undergone testing on a few third parties like NSS laboratory and garnered a high score.
3. Darktrace Antigena – AI Powered Cybersecurity Tool
This tool marks Darktrace’s active self-defense tool.
Antigena expands Darktrace’s main capabilities to replicate and detect the functions of a digital antibody that neutralize and identify viruses and threats.
Antigena uses Darktrace’s Enterprise Immune System not only in identifying suspicious actions but also responding in real-time, based on the threat’s severity.
With the assistance of the fundamental machine learning technology, Darktrace Antigena detects and safeguards against unrecognized threats as they emerge.
It does so without prior knowledge of attacks, human intervention, signatures or rules.
With similar automatic response abilities, entities can now respond to various threats quickly, without having to disrupt everyday business activity patterns.
The tool ’s module assists in managing machine and user access to messaging protocols and machine, the Internet, and network connectivity via several products like Antigena networks, Antigena Communication, and Antigena Internet.
4. IBM QRadar Advisor – AI Cybersecurity
The tool utilizes IBM Watson technology in fighting cyber attacks.
Utilizing AI in automatically investigating indicators of all exploits or compromises, QRadar Advisor leverages cognitive reasoning in providing important insight and further accelerating the response cycle.
Through the assistance of the tool, security analysts cannot only minimize their risk of losing but also assess threat incidents.
IBM QRadar Advisor Aspects
- Automatic Incident Investigation
The tool collaborated with Watson to investigate threat incidents through extracting local data using the things that could be seen in the incident to gather a wider local context.
They then assessed the threat regarding whether they had passed a blocked or layered defense.
- Provide Smart Reasons
QRadar recognizes potential threats through applying cognitive reasoning.
The tool links threat entities relating to genuine incidents like malicious entities, suspicious IP addresses, and malicious files in a bid to attract relationships between such entities.
- High-Priority Risk Identification
By using this tool, you can acquire essential insights regarding an incident, with supporting evidence to devote your time to the threat posed by higher risks.
- Core Insights regarding Important Assets and Users
QRadar IBM can identify suspicious behavior from individuals by integrating with the User Behavior Analysis Application.
Doing so helps to understand how certain profiles or activities impact the system.
5. Cognito Vectra
This tool utilizes artificial intelligence in detecting attackers in real-time.
Cognito Vectra helps in automating not only the detection of threats but also hunting for unknown attackers.
Cognito utilizes behavior detection algorithms in collecting network cloud events, logs, and metadata.
The platform further helps in analyzing such events and saves them in a bid to uncover hidden attackers in both user/IoT devices and the workload.
Cognito Detect helps in uncovering unknown attackers in real-time through behavioral analytics, data science, and machine learning.
What’s more, it expedites the detection on investigations, particularly with a context that can be followed up on both compromised workload and devices over time.
This is an easy and quick fix to locate all the workloads or devices accessed by the attacked account and spot the files involved in exfiltration.
The same way diamonds can cut diamonds; AI can cut AI.
By utilizing artificial intelligence to attack and prevent on both sides, the artificial intelligence system will acquire new and different patterns as well as recognize deviations, specifically for security analysts.