Cybersecurity has been among the head banging issues for most organizations and rightly so with top companies losing 25$ every minute due to cybersecurity breaches. With the advances in technology, companies are putting various tools and systems to work when it comes to managing security of data and enterprise assets. However, the hackers have access to the same technology which is being used to commit countless data breaches every single day and exposing vital company details every single minute.
Introduction of Artificial Intelligence is steadily changing the cybersecurity landscape and giving institutions an extra edge over the hackers and cyber sinners. Companies, irrespective of their services, are storehouses of huge number of details, records, personal data and sensitive information that must be protected at all costs. The constant bombardment of cybercrimes and data breaches have compelled the organizations worldwide to adopt and establish an automated system of detecting such threats and ensuring complete safety and security of their data. Machine learning, simulating human brain is, therefore, being looked upon as a savior that can help analysts predict the attacks beforehand and consolidate the security framework of their organization.
The threat to organisations is huge and comes in all forms and sizes and relying on signature rules is no less than a blunder. With so many suspicious activities going on in the web, companies are bound to stumble upon threats and malicious activities that can crash complete operational functions of any company.
If used properly, AI has the power to detect any unwanted messages or threats in seconds by simply scanning the web. Risk identification and management is a whole lot easier when AI based programs stand like a guard to any suspicious IP addresses, fraud websites, loopholes or similar suspicious malwares. With AI, companies can follow predictive risk management rather than reactive solutions while dealing with vulnerabilities or breaches.
What can be better than dealing with threats and vulnerabilities? Detecting the future ones. Cybersecurity management is such a challenging topic that it can get overwhelming for even the experts to keep tack of all the activity that is happening over the web. Moreover, a human can get nowhere closer to a bot when it comes to scanning hundreds, in fact thousands of documents in a single day.
AI operated devices can capture incidents and offer insights into the security system that not only help in dealing with the incoming threats but also expose the areas which are most likely to be affected or breached in the future. With AI, companies have a resourceful insight that can help them detect the next movement of hackers and build firewall around the data before the attack even happens.
Most of the threats across mid-sized businesses are seen to arise through network pathways. The traditional ways of tracking malicious events may not prove to be as effective, especially with the cyber attackers using advanced technologies to break through network gateways.
As opposed to the obsolete ways of securing network bandwidths, artificial intelligence can accelerate the process of identifying unrestricted threats from entering a network, regardless of its size. This allows huge networking endpoints to stay secured and free of any risks or potential hacks, all from a centrally regulated AI program.
Companies usually rely on passwords and pins to protect their internal communication channels and data networks. If any hacker is able to enter a local network where the employee’s data, files, personal information and even credit card credentials are stored, it can be a disaster for the organization.
With strong AI processes like facial recognition and biometric scans, organizations can be assured of complete security at all time without having to deal with any potential security breach. AI based programs automatically identify a wrong access and instantly block it without any human intervention.
When most organizations in the previous decade relied on getting security by taking prompt action after the threats entered their system, the present security management has opened a wide horizon. This also required a human expert to mitigate risks, perform repetitive sequences and develop quick response if ever the security framework was threatened.
However, Artificial intelligence technology not only identifies the risks but also takes proper action in a matter of minutes to stop the attacks. Even as the employees doze off or are in the middle of a vacation, the threats are dealt with and diluted without any human supervision, drastically reducing the response time to unpredictable and discrete threats.
It is quite understandable to argue that machines can never be treated as equal to humans but contrary to that belief, Artificial intelligence is by all means a front runner in the race of decision-making and learning. The threats are so huge and the data so vast that it is impossible for mere manual ways to protect even a simple network, let alone the whole organization. The signature-based approach used previously by giant companies are no longer effective in shielding the walls of digital infrastructure of a company.
Firstly, artificial intelligence is able to handle and screen a huge amount of data which can never be expected of a human or even a team of hundreds. This ease of targeted screening and exposing threats from an ocean of data and information is a good enough reason for companies to make the switch to an AI based software. Secondly, AI algorithms can operate by learning over time and detect patterns over long operational cycles. This means that once AI recognizes a pattern of past attacks, it maps and clusters them and accurately detects the threat pattern in future, giving companies the assurance that the repetitive attacks or threats are not successful in causing destruction.
Human analysts, thus, require the assistance of artificial intelligence technology in order to ensure integrated cybersecurity across all the touchpoints and defeating cyber threats before they cause unrepairable harm to organizations.