Wielding AI security weapons
The new cybersecurity battle will be a war of offense and defense wielded with Artificial Intelligence (AI). Direct selling companies are particularly vulnerable, safeguarding sensitive information of tens of thousands of distributors and customers across the country and around the world. The marriage of ransomware and AI-empowered cybercriminals identifies and exploits vulnerabilities faster and more efficiently than ever. The remote and individual nature of how business is conducted in the industry creates unique challenges as Chief Information Officers grapple with the formidable challenge of securing organizations against these sophisticated threats.
A cloud-based, AI-powered solution focusing on detection, security and recovery across diverse data storage environments is essential, according to a Harvard Business Review report. Cybercrime inflicted a staggering $10 billion loss on US businesses in 2022, with global estimates reaching $10.5 trillion by 2025. Ransomware’s annual toll is predicted to soar to $265 billion by 2031, an 815-fold increase from 2015. IBM reports a record-breaking $4.45 million average cost per data breach in 2023, a 15.3 percent surge from 2020. Generative AI brings even more advanced threats, exploiting hybrid work environments and data trails, further challenging direct selling companies.
To counter these modern cyber threats, a multifaceted AI-driven solution is critical, unifying security and recovery in cloud-based and onsite environments. Streamlining disparate solutions, security leaders seek a unified platform for seamless oversight. Effectiveness requires proactive AI capabilities, predicting risks and swiftly restoring operations post-breach. Tools detecting threats within five minutes that prioritize recovery, boost ROI and slash total ownership costs.
Harnessing advanced algorithms, AI revolutionizes cybersecurity by adapting to evolving threats. Traditional systems with predefined rules fall short against emerging attack techniques, while AI systems continually learn, analyze data patterns and identify anomalies in network traffic, user behavior and system logs.
AI extends its prowess to incident response, automating time-sensitive processes for faster and efficient management. By correlating data from various sources, it provides actionable intelligence; accelerates investigations; identifies root causes; and learns from past incidents, fortifying against future breaches.
From the March 2024 issue of Direct Selling News magazine.
