The rapid advancement of artificial intelligence (AI) is transforming the cybersecurity landscape. As organizations increasingly rely on digital systems, the need for robust security measures has never been more pressing. AI-powered tools are being leveraged to fortify security postures and stay ahead of evolving cyber threats.
One area where AI is making a significant impact is in source code analysis. Static Application Security Testing (SAST) tools are commonly used to identify vulnerabilities, but they often generate a high number of false positives. AI integration is addressing this challenge by incorporating supervised learning models.
For example, a large Indian bank reduced false positives by 40% in just two months by training a model on their specific code patterns. Automated application security scanners are another domain where AI is poised to make a difference. These tools can perform complex tasks like logins, vulnerability identification, and exploitation.
However, they currently don’t learn from each scan. AI promises to change this by enabling tools to learn from each test, reduce false positives, and generate intelligent reports for management. Red teaming, which involves simulating real-world cyberattacks to assess an organization’s security resilience, is also benefiting from AI.
AI-powered tools are enhancing the capabilities of red teams by crafting custom scripts to evade defenses, developing methods to avoid detection, and increasing the realism of simulated attacks.
Ai reduces cybersecurity false positives
OpenText Threat Intelligence™ (BrightCloud) is a comprehensive operational intelligence platform that empowers proactive cyber defense.
With a vast sensor network collecting data from millions of devices, BrightCloud offers unmatched visibility and lightning-fast publishing of threat updates. Its advanced scoring algorithms, contextual intelligence, and predictive capabilities enable organizations to proactively defend against future threats. BrightCloud’s suite of services extends beyond traditional threat intelligence, offering protection across multiple domains.
These include threat intelligence services, web classification and reputation services, file reputation, real-time anti-phishing, cloud service intelligence, and streaming malware detection. The increasing sophistication of cyberattacks poses significant challenges for IT security teams. Overburdened analysts, rising incident response times, and the growing cost of cyber incidents are major concerns.
AI has the potential to revolutionize IT security by acting as an “assistant” to analysts, rapidly identifying threats, and automating low-value tasks. According to Acumen Research & Consulting, the AI in cybersecurity market is expected to reach USD 133.8 billion by 2030. AI-enabled software can augment human expertise, reduce false positives, and improve incident response times.
The IBM Institute for Business Value reported that AI reduces cybersecurity costs, with early adopters seeing a 15% reduction in overall costs. As digitization continues to expand, AI’s role in safeguarding data and systems becomes increasingly critical. The use of AI in IT security is set to revolutionize the field, offering enhanced detection and faster response times to sophisticated cyberattacks.
It provides much-needed support to the overburdened IT security workforce, ensuring the protection of organizations in the digital age.
