Who I Am

Product Design leader building and elevating data-driven design for cybersecurity.

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

Foundations

Design Ownership

Big Picture Thinking

Leadership

I practice an entrepreneurship mentality to product experiences, owning the end-to-end design process which includes a built-in awareness to shape these experiences into outcomes that propel business goals.

I balance the voice for design in an organization and holding myself accountable for maintaining emotional intelligence with all my colleagues, shaped by 15+ years experience on product teams.

I emphasize a holistic product experience that scales, believing the synergy beteen individual core product experiences cohesiveness, familiarity, and trust that resonates with customers.

Location: New York, NY

Results Achieved

93%

Task completion success rate championed by user-centered design.

50%

Reduction in manual work processes involving complex datasets.

50%

Increase in sales revenue through design + sales partnership.

$12+MM

pipeline

$3+MM

ARR

Products involving my ownership of the end-to-end design process, concept ideation to final delivery.

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 do we 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

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?

Suspicious IP:

111.118.51.12

Findings:

Suspicious Location

Outside Work hours

Anomalous Behavior

MITRE Pattern:

Reconnaissance - 89%

Privileged Escalation- 76%

Data Access- 76%

Recommended

identify accessed data

Show specific S3 object paths accessed via GetObject by user B_Wayne from suspicious IP 111.118.51.12.

111.118.51.12

Suspicious

API calls

GetObject

Case Study

Cybersecurity

Native AI

CONCEPT: Native AI partnering with security analysts and threat hunters through a full case investigation, from hypothesis to containment.

Product

AI Protection Platform

Customers partnering with AI to build a story (investigation), layer by layer.

Challenge

1 Week

Deadline for design concept, referencing a single requirements document.

Business Impact

96%

Reduction in MTTR (mean time to respond). Zero-work-to-insight investigations.

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

Case Study

Cybersecurity

Threat Intelligence

Customer Impact: Replaces 50% of redundant internal security tools, resulting in reduced costs for organization.

Product

Attack Surface Intelligence

Utilizing 620+mm IPs tracked so organizations stay secure against threats.

Challenge

3 Months

Deadline for the MVP release while learning the intricacies of threat intelligence.

Business Impact

10MM

Revenue as of Q1 2024. ..." the fastest growing product line".