In the complex world of cybersecurity, staying ahead of evolving threats is important. Companies have started using AI, which is the most effective tool for keeping hackers out of their systems. Artificial intelligence has been a game changer in the fight against cyber threats. Its cyber threat detection and response capabilities have revolutionized the fight against hackers. In this article, we’ll explore the role and application of AI in Cybersecurity.
How Does AI Assist Cybersecurity Professionals?
Historically, the cyber security sector was dominated by resource-intensive efforts. This includes threat hunting, monitoring, and incident response, among other time-intensive and manual duties that delay remediation activities while increasing their vulnerabilities to cyber threats. Everything changed with the adoption of numerous security operations services like AI.
AI assists the cybersecurity team by recognizing data patterns while providing recommendations that help mitigate threats. It speeds up incident responses and supports decision-making while enhancing threat detection. AI uses these three mechanisms.
- Pattern Insights: Artificial intelligence excels at classifying and detecting data patterns that can be challenging for businesses to analyze. It then presents these findings to the security team for further analysis and examination.
- Actionable recommendations: AI offers actionable recommendations based on recognized patterns. These include contextual details of the threat, which helps the security team respond efficiently and effectively.
- Autonomous mitigation: Whenever necessary, AI takes action against recognized threats on behalf of the cybersecurity team. It addresses and remedies potential security threats.
The initial step in mounting a defense is identifying bugs or vulnerabilities that hackers can exploit. With the help of artificial intelligence, cybersecurity teams can process a massive volume of data more accurately than they would have manually. This means fewer false positives and faster detection of bugs by the cybersecurity team.
Application of AI in Cybersecurity
Artificial intelligence has revolutionized cyber safety in several ways. It has helped businesses increase their protection by securing user accounts and protecting passwords via authentication. Using AI tools like fingerprint scanners, facial recognition, and CAPTCHA, organizations have been able to prevent cybercrimes. Some of its applications include:
1. Phishing Prevention and Detection Control
Phishing is a major cybersecurity threat facing many companies. Cybersecurity teams can prevent these attacks using an AI embedded within their email security solutions. The AI scans all incoming emails for indicators and anomalies of maliciousness. The AI also analyzes the context and content of the emails and determines if they are spam messages, legitimate, or part of a severe phishing campaign. This helps prevent advanced cyber threats like spear phishing, which involves attackers impersonating high-profile individuals.
2. Behavioral Analytics
The behavioral analytics feature helps businesses identify known vulnerabilities and evolving threats. Traditional securities relied on IOCs(Indicators of Compromise) and attack signatures to discover threats. However, with the hundreds of thousands of attacks launched by hackers annually, this approach isn’t practical.
Currently, companies use AI models when developing profiles of apps deployed to their network and process huge volumes of user and device data. The incoming data is analyzed against these profiles to prevent malicious attacks.
3. Vulnerability Management
As hackers deploy more sophisticated techniques and methods, thousands of cyber vulnerabilities are discovered. Unfortunately, traditional systems can’t manage these vulnerabilities since they have turned to AI-powered services like user and entity behavior analytics(UEBA). UEBA lets businesses analyze the activities of the users, servers, and devices in their system to identify unusual behaviors. This protects their systems from vulnerabilities/bugs they’re unaware of before they become a major problem.
Endnote
AI plays a huge role in the fight against more advanced cyber vulnerabilities. Since AI is always learning from the data it’s trained on, this technology will revolutionize the future of cyber security. It can detect hackers’ latest threats and tactics and prevent them from exploiting new bugs within the shortest time possible.
