Frost & Sullivan’s has published a new report, Artificial Intelligence (AI)-based Security Industry Guide. The report examines smarter security frameworks, use cases of AI-based security solutions and profiling of AI-/ML-driven and AI-/ML-centric cybersecurity companies in the Asia-Pacific market.
Artificial Intelligence (AI) and Machine Learning (ML) have been increasingly adopted across a wide range of industries. This ranges from healthcare, education, information and communication technologies (ICT), logistics, maritime, aviation, aerospace and defence, entertainment and gaming. The multifaceted benefits of the technologies span predictive outcomes to advanced data analytics. AI-based cybersecurity has the potential to augment the capabilities of staff and help organizations better manage cyber threats.
Digital transformation a priority
Digital transformation is a priority for a majority of enterprises in the Asia-Pacific region. As a result, there is a proliferation of connected devices, offering customers convenience, efficient services and better experiences. However, this connectivity also increases the potential risk of cyberattacks for enterprises and users.
Cybercriminals are also using more sophisticated methods to attack organisations. These include polymorphic malware, AI and other automated techniques. Enterprises are struggling with a lack of trained manpower and cybersecurity expertise to counter the more sophisticated attacks.
These increasing challenges in security operations suggest the need for a smarter, more adaptable, automated and predictive security strategy. AI and ML are increasingly being developed by security companies to strengthen their competitiveness using their own AI/ ML algorithms. This empowers security products and augment the capabilities of existing IT and cybersecurity staff in enterprises.
Smarter cyber defence
AI and ML are being incorporated into all stages of cybersecurity. This will enable enterprises to adopt a smarter, more proactive and automated approach toward cyber defence. This includes threat prevention/protection, threat detection/hunting, and threat response to predictive security strategies.
Startups have been the most proactive in introducing multiple AI-enabled security technologies into the market. Larger security companies have also increasingly incorporated AI and ML into their existing security solutions.
“With cybersecurity solutions powered by AI capabilities, vendors can better support enterprises and their cybersecurity teams with less time and manpower investment and higher efficiency to identify the cybersecurity gaps,” noted Amy Lin, Industry Analyst, Cybersecurity, Frost & Sullivan.
Key trends expected to create additional growth opportunities include:
- Embracing and incorporating AI-enabled capabilities into exiting solutions to intensify the competitive advantage.
- Supporting a more holistic cybersecurity framework from detection to response and further prediction.
- Assisting cybersecurity expert teams on operations with lower false-positive rates and enhancing their ability to react.
Enterprise Times: What this means for business?
AI and ML have been used widely in cybersecurity industries, by both hacking and security communities. This makes the security landscape even more sophisticated. Many organisations, regardless of size, are now facing greater challenges in day-to-day security operations. Many of them indicate that the cost of threat management, particularly threat detection and response, is too high.
Meanwhile, AI-driven attacks have increased in number and frequency. Security professionals are required to have more advanced, smart and automated technologies to combat these automated attacks. Frost & Sullivans suggest the need for a smarter, adaptable, scalable, automated and predictive security strategy in order to deal with the constantly evolving threats more effectively.
Security startup companies are the most proactive in introducing AI-security technologies to the market. However, the report notes that large traditional security companies have also beefed up their strategies to stay abreast of the trend of integrating AI/ML into their existing security solutions.
