Rapid 7 - Unlocking the Power of AI in Cybersecurity: Key Takeaways from Our Latest Webinar

Unlocking the Power of AI in Cybersecurity: Key Takeaways from Our Latest Webinar

Today's SOC teams have to face dramatic challenges that include overwhelming volumes of alerts, blurred perimeter protections, and resource constraints; meanwhile, AI is bursting into SOC workflows as one of the most important elements in addressing these issues more productively and letting teams truly focus on what matters most.

In our recent webinar, "Enhancing MDR with AI: Real-World Use Cases & Security Insights," cybersecurity and AI experts shared their perspectives on how advancements in artificial intelligence are reshaping security operations. The session featured Hannah Coakley (Product Manager, Rapid7), Katie Wilbur (Senior Data Scientist, Rapid7), and Steven Warwick (Solutions Architect, AWS), who discussed the role of AI in addressing today’s most pressing challenges in SOC environments.

Here’s a snapshot of what we covered and why you’ll want to watch the full webinar.

  • AI-Powered Auto Triaging Enhances SOC Efficiency
    AI models can categorize thousands of daily alerts, filtering out noise and prioritizing critical threats. This allows analysts to focus their attention on incidents that matter most, improving response times and reducing manual workloads.
  • Generative AI Speeds Up and Standardizes Reporting
    Incident reporting, a traditionally time-intensive task, is streamlined with generative AI. By producing consistent first drafts, it saves time and ensures clarity in reports, enabling quicker decision-making in high-pressure environments.
  • Responsible AI Practices Build Trust and Transparency
    Effective AI implementation requires keeping humans in the loop to verify outputs and reduce biases. Responsible AI supports analysts rather than replacing them, ensuring its use enhances security efforts while maintaining trust.

You’ll Also Learn

  • The challenges SOCs face with alert volume and how AI helps address this issue.
  • The trade-off between explainability and accuracy when selecting AI models for cybersecurity.
  • How rigorous testing ensures AI models adapt to evolving threats in the cybersecurity landscape.

These are just a few of the insights that came out of an engaging session on the future of AI in cybersecurity. For a deeper dive into how AI is transforming SOC workflows and reshaping the field, watch the full webinar.

Watch the full webinar here to find out how integrating AI into your SOC closes the security gap and enables your team to work at its best.



from Rapid7 Cybersecurity Blog https://blog.rapid7.com/2025/01/10/unlocking-the-power-of-ai-in-cybersecurity-key-takeaways-from-our-latest-webinar/

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