Q2 2024-Ongoing
Al Response Summary is designed to support security analysts in effectively handling a high volume of alerts and meeting an organization's security requirements. Harnessing the capabilities of AI aims to save analysts valuable time by creating incident summaries and offering recommendations.
The overview
While we cannot control the influx of alerts and violations, it's clear that analysts need a solution to make managing these issues less overwhelming.
My Role
In my role as the UX Designer for this project:
I conducted user interviews to better understand the problem.
I performed competitive analysis to see how competitors are addressing the same problem.
Shipped beta version and currently collecting user feedback.
Team
Product Manager
Data Scientist
Principal Data Scientist
4 Engineers
Senior Architect
UX Designer (me)
The why
In cybersecurity the time of respond to an alert, incident or violator can be crucial in mitigating a potential threat. User interviews revealed that significant time is being spent on manual analysis, which restricts the ability to engage in strategic decision-making and proactive threat hunting.
20+ analysts
From 3 of our largest enterprise customers highlighted feeling overwhelmed.
The how
Even though we cannot control the influx of high number of alreats and violations, what we can control is how analyst interact with those alerts and violations.
AI to the rescue
By leveraging AI, we can significantly enhance efficiency by automating certain tasks.
The potential value add
The time to respond to an incident can be reduced significantly thanks to AI automation and Securonix maintains competitiveness
For Users
AI automation will boost efficiency and streamline overall workflows, potentially reducing fatigue.
For Securonix
Implementing AI in the product enhances competitiveness, accelerates growth, and delivers a better return on investment."
How competitors tackle the problem
Analyzed Microsoft’s Sentinel, Exabeam and Palo Alto XSIAM
The solve
Response Summary allowed analyst to significantly cut down their investigation time to empower teams to focus on what matters most.
What lies ahead
Since the AI Response Summary has been in beta, we have received substantial feedback from our customers regarding the desire to take actions to mitigate incidents. They believe this capability would add immense value.
However, implementing these actions requires additional engineering resources, which are currently being planned for 2025. Below is a sneak peak on explorations of how we imagine the UX to be.
Valuable learnings
Working alongside data scientists and AI engineers showed me how important it is to communicate openly and regularly.
I set up multiple brainstorming sessions in Figjam to share ideas and discuss engineering challenges while always keeping our users’ needs front and center.
I had the opportunity to delve into the inner workings of LLMs, which deepened my understanding. I explored various AI guides and courses to enhance my knowledge and skills, allowing me to design AI solutions responsibly.