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In the world of cybersecurity, artificial intelligence (AI) is expected to have a major impact on strategies in 2024. Here are four key predictions for how AI will shape cybersecurity:
- Government regulation: As AI adoption continues to outpace government regulation, it is likely that regulations around AI use in cybersecurity will be announced in the near future. The use of AI tools and Large Language Models (LLMs) in coding can raise security concerns, and government intervention may be necessary to ensure security best practices are followed.
- Demand for AI coding tools: While AI coding tools are seen as powerful assistive technology for developers, they are not perfect and can introduce security vulnerabilities. This means the demand for skilled developers who can code securely and use AI technology safely will increase.
- Accountability for software vendors: Software vendors will no longer be able to shift responsibility for security to the consumer. There will be greater scrutiny and reprimand for vendors who ship insecure code, as seen in recent high-profile cyberattacks.
- A shift from reactive to proactive security: Organizations that rely solely on reaction and incident response will face increased exposure and risk. A holistic approach to security, including prioritizing code-level security, upskilling developers, and implementing a high-awareness security program, will be necessary.
By understanding the implications of AI on cybersecurity, security teams can better prepare for the challenges and avoid the negative side effects of the technology. Overall, these predictions will shape the priorities of security teams across sectors.
