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16 cybersecurity leaders recently shared their predictions for how gen AI will improve cybersecurity by 2024. Here are some key takeaways from their insights:
- Collaboration between AI and cybersecurity professionals is crucial: Leaders emphasize the importance of human insight in conjunction with AI to effectively combat cyberattacks. MITRE MDR stress tests have demonstrated the value of combining human intelligence with AI in identifying and thwarting breaches.
- AI will enhance pattern recognition and detection: AI will be able to detect attack patterns, emerging vulnerabilities, and behaviors indicative of attempted breaches. However, it may also make it more challenging to distinguish between human-generated and AI-generated phishing attacks.
- Threat actors will target AI systems: In 2024, it is predicted that threat actors will focus on exploiting vulnerabilities in sanctioned AI deployments and blind spots resulting from employees’ unsanctioned use of AI tools. Organizations will need to identify and manage these risks.
- Increased automation and augmentation of human capabilities: Gen AI will enable automation of mundane tasks like log analysis, incident response, and security patching. This will free up security analysts to focus on more complex cybersecurity issues.
- Risks associated with AI and social engineering attacks: The availability of AI tools will make social engineering attacks more sophisticated and harder to detect. Organizations will need to address the challenge of misinformation created by AI tools and take steps to bolster their defenses.
- AI’s impact on compliance: Gen AI will automate compliance processes, reducing the time and effort required for regulatory adherence.
- Transition to an AI-centric cybersecurity approach: Due to the complexity and scale of data, cybersecurity will become an AI-driven field. Teams of individuals alone will not be able to keep pace with the evolving threat landscape and the volume of data.
Overall, gen AI is expected to revolutionize cybersecurity by enhancing detection capabilities, automating tasks, and enabling faster response to threats. However, it also presents new challenges and risks that organizations need to address to protect sensitive data and systems.
