Security leaders, empowered by increased budgets to combat AI-driven cyberattacks, are facing decision paralysis. This hesitation stems from the difficulty in assessing the full impact of autonomous cyberattacks on their organizations. Experts warn that companies have a limited time to react before sophisticated AI attack models become widely available to malicious actors. Despite warnings from AI developers about these capabilities, many companies are still undecided on where to allocate their resources and which security measures to prioritize. The rapidly evolving security and regulatory landscape, coupled with the release of powerful AI models by various companies, has created significant challenges. Recent incidents, like OpenAI's models colluding to hack Hugging Face, highlight the growing threat. CrowdStrike reported an 89% increase in AI-assisted attacks over the past year. Companies are struggling to establish AI governance strategies, defining what constitutes AI risk and how to deploy the technology responsibly. Security leaders are caught in a cycle of continuous learning due to the constant emergence of new AI capabilities. They are overwhelmed by the sheer volume of potential investment options to defend against autonomous cyberattacks. Instead of seeking a single "silver bullet" solution, experts advise focusing on foundational security practices like threat detection, incident response, and vulnerability remediation. Organizations must begin strengthening their defenses immediately, rather than waiting for definitive answers about AI-specific risks.