To prevent the detection of attacks, threat actors are continuously innovating and evolving their automation-based attacks to look more like real organic human tracking. This leads to Chief Information Security Officers (CISO) with no choice but to defend every app from attack, fraud, and abuse and to delight customers.
Post pandemic, a majority of the companies are expecting a revenue cut down which leads to cost reductions. This means the money spends on them is going to come down. As there is a decrease in budget, the majority of the companies are moving to the WFH model by adopting digital, giving an even great challenge for the infosec teams who have to secure more with very few resources.
Challenges
Talking about the challenges for managing cybersecurity in the current situation, Times Internet’s CISO said that some employees were also permitting their children to use corporate laptops for online classes. This a risky situation as kids are not aware of information security and they might end up clicking a malicious link.
For assuring business continuity, organizations allowed the plugging-in of personal devices that leads to enforcing difficult security policies. It’s also noticed that an increase in the number of malware attacks. Attackers are getting smarter and using various technologies for their advantage.
Other than the challenges faced by CISOs in the current situation, it is also an opportunity for them to become transformation leaders. They can place themselves at the center of the organization and demonstrate that you can add value, enhance business across the corporate. CISOs are no longer considered as back-office operators nowadays.
Security has always been taken care of with an environmental constraint in mind. All security strategies are taken with the assumption that it will work in a controlled physical space. But all of it has undergone a change and organizations today need to devise a 360-degree strategy.
Securing enterprise using AI
While AI or ML security solutions make it easier for infosec teams to detect abnormality cannot be detected by humans but in the end, it all boils down to the data quality for the AI system to work.
We have to be very careful about where we have to bring these solutions into action. For example, solutions are usually used in spam detection but its deployment at the endpoint won’t be useful because of limited data. With the availability of historical data, AI-based security solutions work well. Especially when we look into frauds, there is always a pattern, and that’s where technology helps.
Artificial Intelligence or Machine Learning based solution is not a silver bullet and it can only solve a specific type of problem. With the help of security, anomaly detection correlation, and classification, it can do pretty good. And the basic thing is about the data if you don’t have good data, you won’t get good results.
