The author emphasizes that AI should be used to augment human intelligence rather than replace it. He suggests that cybersecurity vendors should be evaluated on how they use AI to create security efficiencies and protections, and how they ensure the safe and secure implementation of AI. The article concludes by stating that the incorporation of AI into an organization’s cybersecurity strategy is crucial for building a solid cybersecurity posture.
Key takeaways:
- AI and ML can be leveraged not only for threat detection but also for prevention, by better understanding environments, attack surfaces, and defender behavior to close gaps and prevent threats in the first place.
- Large language models (LLMs) can transform how teams communicate and collaborate in daily security operations, providing insights to natural language questions and generating summaries in a matter of seconds.
- AI should be used to make human intelligence more effective in cybersecurity, distinguishing true positive alerts from false and benign positives, and driving faster time to resolve incidents.
- AI is not a silver bullet for delivering managed security and must be combined with human expertise to be effective, accurate, and relevant. Keeping a real person in the loop allows human experts to fact-check AI-driven decisions and fine-tune AI models.