Generative AI to Drive Self-Service Cybersecurity and Board-Level Governance; Development of Quantum-Resistant Cryptographic Algorithms to Gain Momentum; in 2024
The previous couple of years saw tremendous focus on securing the hybrid working environment as new norms took hold for remote and office working, including widespread adoption of cloud, with scammers and cybercriminals upping the stakes by using advanced techniques for social engineering, phishing and business email compromise. In 2024, as generative AI gets embedded in business operation, we can expect criminals to take their attacks to the next level, requiring organisations to adopt new, astute and strategic approaches to cybersecurity.
Usman Choudhary, Chief Product and Technology Officer at VIPRE Security Group, highlights the following cybersecurity trends, primarily driven by generative AI adoption, that will dominate in 2024:
Generative AI will drive self-service security, and help to alleviate the cyber talent shortage
Historically, security has been considered a highly specialised and technical profession. As a result, security teams in enterprises have borne the burden of keeping the organisation safe, alongside attempts to encourage involvement from technology users and staff to also take ownership by staying vigilant to help thwart phishing attacks and other scams.
Generative AI will change this in 2024, initiating a drive towards self-service cybersecurity. This technology will commoditise and democratise security by providing Natural Language Processing-based tools to enable employees to identify fraudulent activity independently and accurately, to effectively escalate to infosecurity teams as appropriate. Likewise, infosecurity teams will have at their disposal capabilities that automate time and resource-intensive processes across the cybersecurity spectrum. All this combined will make a marked stride in helping to alleviate the global cyber talent shortage.
Security governance expertise at the board level will become a priority
The world has reached a ..
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