In the face of highly refined attacks, organizations are turning to AI to buffer cyber security. This is one approach that is offering guaranteed protection against hackers whose tactics evolve faster than technology itself. AI is at the centre of automation when it comes to implementing processes that help your organization to identify attacks and coordinate recovery.
Data interception technology will detect, assess, analyse, and ward off the most advanced threats/attacks through use of deception tactics. AI is a positive contributor in this context. Training your personnel and arming them with additive technology skills keeps them on a level-level basis with an evolving threat landscape. Such training keeps your defenders alert and give them the competitive edge over threat actors. What cyber-security threat tools lacked in the past is the capacity that AI offers to the modern organisation, when it comes to fighting cyber-attacks.
AI And Social Engineering
The sad fact is that threat actors are also leveraging AI in their attempt to beat solid network security measures. The fact is that when AI is used by attackers it can provide them with proactive knowledge about the security measures you have used to buffer your networks. However, focusing on ways to get rid of your human network errors is a good starting point in the fight against negative use of AI. Organizations can no longer afford to operate with the prevalence of human error or inaction. Since AI is likely to play the roles of perpetrator and defender simultaneously, keeping your staff well educated and aware will make all the difference.
Counter-Capabilities That Keep Hackers at Bay
Before the debate about positive AI and negative AI rages on, it’s good to note that this concept depends on human programming. Before blaming AI as an agent for threat, there is a need to note that it can only do what a hacker tells it to. This means an organization needs to shell a bigger budget to keep its AI based security front on top of things. There is wisdom in investing in research, given that emerging AI and machine learning models offer whole and counter-capabilities that will keep the most advanced hackers away from your network.
Better Than Reactive Approaches
Threat actors and network defenders will use AI to beat each other at the game. The fact that you are still using traditional approaches/techniques is the reason why you are always reeling under the aftermath of synchronized attacks. You can’t afford to waste time learning about a threat before taking action. AI is way beyond any reactive option you want to invest in. The fact remains that it’s only AI and machine based security measure that will keep your network intact.
Offers Fast Detection and Response Solutions
Other than providing adequate protection, AI needs to offer fast detection and response solutions. Today, security systems are becoming more adaptive and they are evolving fast while looking for new projectiles to overturn unprecedented attacks. The idea is always to stop an attack before it happens. By learning more about emerging attack tactics, AI keeps you ahead of the game despite the fast evolving threats on the other side.
Protecting Data Privacy in AI Age
The data privacy in the era of sophisticated threat is a major concern. When this data is on transit to different user destination, it increases the chance of manipulation and infiltration. Such exposure can lead hackers to loopholes that could lead to a disaster. As such, organizations need to collectively leverage on the power of threat intelligence sharing. This means additional solutions and buffers that will keep hackers guessing. Investing in AI and seeking to understand its huge benefits will keep organization safe.
