Companies need to augment their technologies with state-of-the-art AI-based platforms, products, and services to protect, prevent, detect, respond to, and counter AI-based attacks.

FREMONT, CA: The cyber threat landscape has been evolving constantly. Advanced threats such as ransomware, coin miners, zero-day vulnerabilities, and persistent threats are a reality today. The attacks carried stamps of adversary nation-state-sponsored disruption over an extended period, and the number of security events has also doubled.

Attackers are better aware of using AI to increase cyberattacks. To counter an AI-based attack, companies should augment or replace their legacy technologies with state-of-the-art AI-based platforms, products, and services to protect, prevent, detect, respond, and mitigate. The solutions propelled by AI integration, attack prioritisation, and remediation are the fastest-growing areas.

Rapid Processing of Data: CISOs can optimise the power of cognitive AI to automatically investigate indicators of compromise (IOC) and gain critical insights that can be seen by them on an interactive, real-time dashboard.

Identifying Threats: The AI algorithms feature capabilities such as self-analysing attack behaviours and patterns to detect and prevent advanced threats. CISOs can get contextual analytics and benchmarking that make sense.

Reduce False Positives and White Noise: The AI algorithms offer better accuracy and minimise the number of false positives. It combats alert fatigue within security teams, reduces analyst workload, and saves valuable time, improving the time it takes to respond and resolve.

AI Helps in Accurate Detection Faster Response Times and Business Continuity: Technologies like SOAR (Security Orchestration Automation and Response), which are mapped to the MITRE ATT and CK frameworks using TTP (Tactics, Techniques, and Procedures), orchestrate, integrate, and automate hundreds of time-consuming, repetitive, and complicated response actions that previously needed human intervention. The use of autonomous AI-based threat monitoring capabilities ensures business continuity.

Cybercrime as a service is increasing with developers using more sophisticated AI tools, and affiliate-money landers working to attack the hapless victim with ransomware, stealing, exposing confidential data, and optimising precious infrastructure for coin miners. Pharma and healthcare industries, manufacturing, retail and logistics, e-commerce, education, IT, and IT-enabled services will be the areas of focus for cyber attackers in the coming year. Corporate leaders anticipate raising cybersecurity budgets to counter the evolving threat landscape. The global market for AI-based cybersecurity products is expected to surpass 130 billion USD shortly, up from 14 billion USD in previous years.

AI will assist in shifting the left attack kill chain and avoiding the irreversible effects of cyberattacks through better prevention and protection-based solutions. Greater adoption and integration of AI-based technologies in a security-aligned architecture will reduce TCO, increase ROI, and ensure compliance. Therefore, AI-based cybersecurity technology is an imperative and must-have solution.