You can do almost anything with Artificial Intelligence (AI), and it is likely that we will see this technology taking over more everyday, mundane tasks as well as making some simple jobs redundant altogether. However, there will still need to be a shift in some job fields to be able to assist AI in the process.
An area we’re seeing AI play an increasingly important role in is cybersecurity – for both good and bad. Organisations can now leverage the latest AI-based tools to better detect threats and protect their systems and data resources. But cyber criminals can also use the technology to launch more sophisticated attacks. As a result, in the world of cybersecurity, AI and Machine Learning (ML) are quickly becoming the tools of choice for organisations looking to stay ahead of the latest threats.
Abnormal Security is a leader in this space, leveraging this technology to provide comprehensive protection against advanced and targeted threats.
What is AI?
Artificial intelligence works by combining a large amount of data with intelligent algorithms and fast, iterative processing. This allows the software to learn from patterns and features of the data. AI is then able to automatically review new data based on what it has learnt.
How does Abnormal Security use AI and ML?
Abnormal Security uses AI and ML to detect high-level attacks that would otherwise go undetected by traditional security solutions. AI-driven models are trained to analyse large volumes of data and identify anomalies that could indicate malicious activity. This helps Abnormal Security detect threats that are more targeted and advanced, including targeted phishing attacks and account takeover attempts.
In addition to detecting threats, Abnormal Security also uses AI and ML to automatically respond to these threats. This helps organisations quickly contain and remediate threats without having to manually investigate them. With AI-driven threat detection and response, organisations can reduce the time it takes to respond, allowing them to minimise any damage quickly and effectively.
Abnormal Security is also using AI and ML to detect malicious behaviour that is not typical of users, such as sending out large amounts of emails or logging in from unusual locations. Helping organisations detect malicious activity before it can cause any real damage.
With the continued improvement to AI technology, the old school, traditional secure email gateways (SEGs) will become stagnant and continue to fail at stopping modern threats.
The difference between traditional SEGs and Abnormal Security
It’s becoming more and more obvious that traditional SEGs are not prepared for the attacks we’re seeing in today’s market, as businesses further migrate to the cloud. Traditional SEGs have little interaction with cloud-based APIs and are unable to recognise the evolution of modern text-only, business email compromise assaults, which limit their protection and visibility. The Abnormal advantage of bringing AI to email security means that businesses are able to protect their environments fully. Abnormal analyses each event’s risk and learns the behaviour of every identity in your cloud email environment to block even the most complex attacks. By understanding what is normal, Abnormal can detect what is ‘abnormal’.
Abnormal Security is leading the way in using AI and ML to protect organisations from the ever increasing amount of sophisticated threats. Their AI driven models are designed to quickly and accurately detect and respond to threats, continually staying ahead to protect data and systems from malicious attackers.
Discover more about Abnormal Security
Or get in contact with the team at abnormal@ignition-technology.com
By Ignition Technology
