Recently there was a case of Deeplocker malware which breached a tight cybersecurity mechanism by utilizing AI modules to compromise the target hosts involving speech recognition, face recognition, and geolocation mechanism. This shows a lot about what AI can do in the cybersecurity domains. It becomes necessary to counter such an attack via the implementation of AI in cybersecurity. Today nearly every corporate house and startup are investing heavily in building AI systems to analyze large data that help their cybersecurity professionals to look for possible threats and take necessary actions.
Top Cyber Security tools that use AI
There are several tools in the market that are making use of artificial intelligence to improve cybersecurity. In this are, I’m going to mention some of the popular tools.
Intercept X uses deep learning neural networks which work like the human brain. Several years back the US Defense Advanced Research Project Agency came up with their first Cyber Genome Program to uncover the DNA of malware and other cyber threats, which led to the generation of algorithms on the Intercept X.
It works in a way like whenever 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 behavior analysis to limit new ransomware and boot-record attacks.
2. TAA tool (Symantec’s Targeted Attack analytics)
TAA tool is used to find and expose hidden and targeted attacks. It implements AI and machine learning to the executables, knowledge, and capabilities of Symantec security experts and researchers. It (TAA tool) was used by Symantec to tackle the Dragonfly 2.0 attack a few years back, attack majorly targeted several energy companies and tried to breach through and gain access to their operational networks.
This tool focuses on spotting and getting through suspicious activities at each node of the network to determine if any action complies any hidden activity.
As the name suggests, this tool is from IBM, it uses IBM Watson technology to tackle and defend from cyber attack. It uses AI to automatically investigate all the loopholes of exploits. QRadar advisors use cognitive reasoning to provide critical insight and further accelerate the response cycle, by using QRadar Advisor, security analysts can assess threat incidents and reduce their risk of getting compromised.
Some of the features of QRadar Advisor include automatic incident investigation in which it mines local data using what could be observed in the incident to gather a broader local context, high priority risk identification in which critical insights about an incident are taken care of. Such as whether the malware has been executed or not, with supporting evidence to focus your time on the threat of higher risks.
Antigena is the tool developed by Darktracefor their active and real-time self-defense, it increases the sole capability of Darktrace to detect and replicate digital antibody functions that identify and neutralize threats and viruses.
It identifies suspicious activities and responds in real-time, depending on the severity of the threat, by using basic machine learning technology, Antigena identifies and protects from unknown threats as they emerge. It performs the needed mechanism 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 disturbing the normal industry work hour.
