With the heighten cybercrime, the data security threat of danger. The scenario is like – criminals turning to AI to perpetrate their crimes, thus, it’s becoming crucial for businesses to protect their data, and that is possible with AI to test and secure networks.
For instance; According to research conducted by secure payment solutions provider, PCI Pal – almost half (44 percent) of US consumers have suffered the negative consequences of a security breach.
Spike in attacks targeted at high profile companies do not come as surprise because in 2018 alone, hackers managed to break into the networks of companies including Under Armour, Adidas, Facebook, Ticketfly and MyHeritage (to name a few), to obtain access to data ranging from contact information, passwords, and payment information.
Recently, it has been figured out that the travel industry is a hacking target, with global airlines, such as British Airways and Cathay Pacific suffering huge valuation losses. Here, the personal data of millions of consumers compromised.
The reputational and financial damage that results from a data breach is reason enough to implement some concrete technology. Additionally, companies are storing more data than ever which means malicious cyber activity extends to expand. Hence it is extremely necessary for these giant companies as well as the startup to go with AI for Web Application Security.
What can help – Double-Edged Sword called AI
Cybercriminals are getting smarter and successfully stealing data while remaining undetected. AI – comes as a rescue solution. Using this new advancement in technology, hackers’ tactics are becoming more intelligent and effective.
Well, in order to combat the burgeoning sophistication of cyber attacks, many organizations are looking to leverage machine learning (ML) and Artificial Intelligence (AI) to defend themselves and their users. Businesses are strengthening their security capabilities by using AI-powered tools early and across several stages, including:
❏ Defensive development posture
❏ Intrusion detection
❏ Vulnerability discovery and prioritization
❏ Exploitation and post-exploitation discovery
Let’s understand how AI- Artificial Intelligence and other smart technology can strengthen the effort to prevent reputation (and revenue) damaging data breaches or theft. Here, we will discuss, the four primary ways in which AI can bolster defenses and mitigate vulnerabilities:
AI In Development:
Applying AI to different layers ensures that companies can defend its applications and networks. For Application Security Testing (AST), AI can be used to address security at the production level. Security practitioners and developers are able to use AI to automate and create functional test multipliers much faster and more efficiently than what a human could manually do.
As a result, DevOps and DevSecOps teams are able to develop and deploy secure applications with minimal friction, enabling organizations to scale without putting data at risk. By incorporating AI in the development phase, “fail fast” methodology is controlled, and applications are better prepared to defend against AI enabled hackers.
Intrusion Detection Using AI:
Traditionally, intrusion detection was done by humans monitoring networks for anomalies. However, the growth of network bandwidth and the spike in cyber activity within today’s digital organizations have made this process a time-consuming and resource-intensive task.
Subsequently, security teams are using AI to automatically monitor networks for suspicious activity and indicators of compromise. By analyzing data, AI is able to find correlations in the cyber activity that link seemingly unrelated events together that would otherwise go undetected.
For Vulnerability Discovery and Prioritization:
Today, enterprises are collecting data at rapid speeds. This creates an expanding risk surface for criminals to penetrate. Organizations are also dealing with third parties and insider threats, and as a result, vulnerabilities have become so pervasive that identifying them manually has become impossible.
Therefore, it has become more important than ever to find and patch vulnerabilities in applications and networks ahead of hackers, or risk being exploited. Using the appropriate algorithms, security practitioners are able to apply AI to effectively identify vulnerabilities, prioritize the urgency of each, and ultimately prevent an exploit.
AI – Fortifying Defenses:
The speed and scale of today’s businesses make it difficult for a human to make sense of all the relevant security data effectively and quickly. And with cybercriminals becoming increasingly cunning, organizations must utilize AI-powered tools across security processes to keep up with the evolving security landscape.
By doing so, security teams are empowered to automatically analyze relevant data, protect it across integrations, and enable humans to be more effective. Ultimately, in this new era of automated cybersecurity, AI will increasingly be able to not just find vulnerabilities open to potential exploitation but also identify which data is most significant in the event of a breach.
For organizations adopting AI to help test and secure their networks, the result will be ever-greater visibility into the current and potential future threats they face. Businesses slower to adapt will very quickly find themselves too far behind the speed of threat innovation to respond.