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Research reports show that 26% of people believe that malicious AI that can bypass most known cybersecurity measures will occur in 2024, and 50% believe that it can bypass most Malicious AI known cybersecurity measures will occur within the next 5 years.
In addition to concerns about offensive AI outpacing defensive AI, 77% of professionals expressed serious concerns about malicious AI. Among malicious AI, 77% of professionals expressed serious concerns about malicious AI. AI behavior deviates from its intended purpose or goal and becomes unpredictable and dangerous.
Phishing, social engineering and malware attacks are cited as the biggest threats that AI will enhance, but identity fraud, data privacy breaches and distributed denial-of-service attacks are also thought to be likely to become more effective
Despite this, respondents remain optimistic about the positive impact of artificial intelligence on cybersecurity. AI is expected to support threat detection and vulnerability assessment, with intrusion detection and prevention identified as the areas most likely to benefit from AI. Deep learning holds the best promise for detecting malware in encrypted traffic, with 48% of cybersecurity professionals expecting AI to have a positive impact
Cost savings emerge as the top KPI for measuring the success of AI-enhanced defenses, with 72% of respondents believe AI automation will play a key role in easing the cybersecurity talent shortage.
61% of enterprises have not yet deployed AI in any meaningful way as part of their cybersecurity strategy, and 41% believe that AI is a high or highest priority for their business. A hopeful 68% of respondents expect budgets for AI initiatives to increase over the next two years.
50% of cybersecurity leaders reported that their organizations have “extensive knowledge” of AI/ML in cybersecurity, with another 19% reporting “moderate knowledge” and the remaining About one-third reported no to minimal knowledge. When asked what steps businesses should take to prepare for sophisticated or overwhelming AI attacks, 68% cited increased cybersecurity training and awareness for employees.
Developing an AI-specific incident response plan (65%) was closely followed by 61% reporting regular security assessments and audits. More than half of respondents said strengthening traditional security controls such as zero-trust protocols, multi-factor authentication, next-generation firewalls and threat intelligence are key to preparing for sophisticated AI attacks.
“Understanding the profound impact of AI on cybersecurity is critical to navigating the evolving threat landscape,” said Laura Wilber, senior industry analyst at Enea. “First, listen closely to the concerns and hopes of cybersecurity leaders and their frontline teams.” Some compelling innovations in simplifying and automating defense. Significant progress has been made, such as reducing the mean time to detect and contain threats. However, AI is not a one-size-fits-all solution – businesses must take a clear and methodical approach to implementing their AI strategy to achieve maximum resilience. As Enea said - don't be surprised, be prepared
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