Gartner also notes the opportunity

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Gartner also predicts that by 2026, enterprises that combine GenAI with an integrated platform architecture in security behavioral culture programs (SBCPs) will experience 40% fewer employee-caused security incidents. These programs aim to reduce risk by specifically managing employee behavior, combining behavioral science principles, data analytics, and automation to achieve measurable cultural change. SBCP solutions include both technical and non-technical capabilities aimed at shaping a digital security culture within organizations.

Personalized employee engagement is often a critical component of an effective SBCP, and GenAI can take into account unique employee characteristics to create personalized content and training materials.

Organizations that use customer information may face potential regulatory and legal implications. According to Gartner, cybersecurity leaders may face personal legal consequences due to new laws and regulations. Gartner predicts that by 2027, two-thirds of the top 100 global organizations will insure their cybersecurity leaders.

For security and risk management (SRM) leaders to use GenAI in proactive collaboration with other business stakeholders to improve the overall cybersecurity effectiveness of the enterprise. This should cayman islands mobile database a human-centric approach to reskilling existing security professionals using GenAI to complement, rather than replace, humans.

The staggering cost of data breaches has been highlighted in many reports, including an IBM study that found the average global cost of a data breach in 2023 was $4.45 million, an increase of 15% over three years.

Gartner also shared its prediction of the huge costs of combating disinformation, which it estimates will exceed $500 billion for businesses, eating up more than 50% of cybersecurity and marketing budgets.

While GenAI is used by enterprises to improve their cybersecurity posture, the same technology is being used by adversaries to create and spread highly effective disinformation. To mitigate this threat, Gartner recommends that CISOs clearly define responsibility for anti-disinformation programs and invest in appropriate tools and techniques.

Because large language models (LLMs) use vast amounts of data and continually create new data, GenAI applications can exacerbate security and privacy risks. Organizations will need to take a multifaceted approach to building a responsible AI system. Additionally, stakeholders will need to work together to comprehensively assess the impact of GenAI on enterprise cybersecurity and find solutions to address the issues.