Product Design Leader
Design as a business driver.
I embrace the role of B2B product design leader focusing on business outcomes and problem-solving through design, leveraging my continual research and learning in the cybersecurity space to convert complexity into simplicity for customers.
Cybersecurity
Data Enthusiast
Builder
Foundations
My Driver: The Intersection of UX, AI and Cybersecurity
I’m driven by the intersection of AI and cybersecurity, where user intuition meets machine intelligence. My strong interest lies in collaborating with security experts on how design can help people understand, trust, and collaborate with systems that anticipate and defend against evolving threats.
Anticipating attacks before they occur
How might we design interfaces that help users understand predictions and uncertainties without over - or under-trusting
the AI’s foresight?
Translating deviations into actionable insights
How can we present tiny behavioral anomalies in a way that feels actionable — not like noise?
Native AI Assistant
partnership
How might we design an AI partner that augments an analyst’s reasoning, rather than replacing it?
Systems that explain the ‘what’ and ‘why’
How do we create UX systems where automation takes action — but humans stay in control?
Case Study
9.8
CVE-2023-49733
Weaponized
Threats and Vulnerabilities
Threat actors
12
Wizard Spider, APT29, Conti, APT10, REvil, LAP$U, Lazarus Group, Equation Group...
21
FTP
2022-05-25 15:33:35
OpenSSH 2.0, Firewall, Linux, cpe:/a:openbsd:openssh:7.6p1
Cybersecurity
Threat Intelligence
Customer Impact: Replaces 50% of redundant internal security tools, resulting in reduced costs for customers.
Product
Threat and Risk Intelligence
Utilizing 620+mm IPs tracked and search so organizations stay secure against threats.
Challenge
3 Months
Deadline for the MVP release while learning the intricacies of threat intelligence.
Business Impact
10MM
Case Study
Suspicious IP:
111.118.51.12
Findings:
Suspicious Location
Outside Work hours
Anomalous Behavior
MITRE Pattern:
Reconnaissance - 89%
Privileged Escalation- 76%
Data Access- 76%
Cybersecurity
Native AI
AI Assistant
CONCEPT: Native AI partnering with security analysts and threat hunters through a full case investigation, from hypothesis to containment.
Product
Utilizing 620+mm IPs tracked and search so organizations stay secure against threats.
Challenge
1 Week
Deadline for the MVP release while learning the intricacies of threat intelligence.
Business Impact
80%
Reduction in MTTR (mean time to respond).
Zero-work-to-insight investigations.