AI & Cybersecurity Usability
In today’s cybersecurity landscape, attack tools and cyber threats are increasingly AI-powered, making traditional Security Operations Centers (SOCs) struggle to keep up. Adversaries now deploy AI-generated phishing attacks, deepfake social engineering, and automated botnets that adapt in real-time. This means security teams need equally intelligent defenses - like Radware’s AI SOC Xpert - to detect and respond at machine speed.
Security Operations Centers (SOCs) are under constant pressure to detect and respond to threats faster than ever. However, having AI alone isn’t enough. While AI-driven SOC platforms can automate detection, reduce false positives, and accelerate response times, their success depends on how analysts interact with them. If a system is too complex, generates overwhelming alerts, or lacks trust in AI decisions, it can slow down response times - ironically negating AI’s biggest advantage.
Radware recently launched AI SOC Xpert, an AI-driven security service designed to enhance SOC operations by automating threat detection, accelerating root cause analysis, and reducing incident resolution time by up to 95%. The platform provides AI-powered remediation plans, forensic insights, and policy optimization, enabling security teams to respond to threats efficiently. By streamlining cybersecurity workflows, AI SOC Xpert empowers analysts to mitigate risks faster and improve overall security posture.
AI-driven solutions like Radware's’ AI SOC Xpert promise to revolutionize cybersecurity by automating detection, reducing false positives, and reducing response time. However, while AI plays a crucial role, the success of these tools isn’t just about advanced algorithms - it’s about how security analysts interact with them.
A poorly designed SOC platform can lead to slow decision-making and a lack of trust in AI recommendations. That’s why User Experience design must be a top priority.
SOC analysts are bombarded with alerts, many of which are false positives. If the system isn’t designed to prioritize critical threats, analysts may either miss serious incidents or waste valuable time on insignificant ones.
This blog explores how User experience will make AI SOC Xpert more effective for analysts - by focusing on usability, trust, and efficiency.
The Radware's’ AI SOC Xpert is designed to reduce cognitive load and to benefit more clarity by using:
- Alert Prioritization & Categorization – AI SOC Xpert uses clear severity labels (e.g., Critical, High, Medium, Low) and group similar alerts together.
- Progressive Disclosure – Displays only essential information first, allowing analysts to drill down for deeper details if needed.
- Visual Hierarchy is being used by color coding, icons, and spacing to separate urgent threats from low-risk events.
Analysts need to trust AI recommendations to act confidently. If AI SOC Xpert suggests blocking an IP, users should have clear visibility into the reasoning behind the recommendation. The platform should provide a high-level summary with a clear call to action, while also allowing analysts to drill down into detailed insights for further verification if needed. This ensures that security teams can act quickly when confident while having the flexibility to investigate further when doubts arise.
While AI automates routine tasks, analysts should easily override or fine-tune automation rules. This automation reduces analyst workload and speeds up threat mitigation. However, blind reliance on automation can be risky if analysts lack the ability to override or fine-tune AI-driven actions when needed. A well-designed UX will strike a balance between automation and human control, ensuring that analysts:
- Trust AI-driven decisions but can intervene when necessary.
- Have the flexibility to customize automation rules based on real-world insights.
- Can fine-tune AI behavior to align with evolving security threats.
To ensure analysts can seamlessly override or fine-tune automation, AI SOC Xpert should include intuitive UX features that empower human decision-making:
- Clear & Accessible Override Controls - Every automated action (e.g., blocking an IP, quarantining a file) should have an "Undo" or "Override" button directly within the UI.
- Customizable Automation Rules – Allow analysts to modify AI-driven response workflows based on internal policies and threat intelligence. They should be able to adjust automation thresholds.
The best AI algorithms won’t make a difference if analysts struggle to interpret, interact with, or trust the system.
For AI SOC Xpert to be effective, user experience is empowering analysts to fine-tune automation without unnecessary complexity. The goal is to create a SOC environment where AI assists, but analysts remain in control. This makes UX the bridge between AI capabilities and human decision-making. In Radware's’ AI SOCS Xpert platform, we combined the smart algorithm of AI, recommendation, insights, summary, AI SOC Xpert chat and quick decision-making and acting. This NEW platform gathers all in one dashboard to ensure Radware's’ customers to be fully mitigated all the time and provide them the ability to be proactive, not just reactive.
Conclusion: AI as a Collaborative Partner, Not a Replacement
- Analysts should always have the option to override AI-driven decisions.
- Customizable automation rules improve flexibility and trust.
- AI should provide clear explanations and confidence scores for its actions.
- The system should learn from analyst feedback to refine automation over time.
With a human-centered UX approach, AI-driven security tools can enhance, rather than replace, analyst expertise—leading to faster, smarter, and more reliable security operations.