Designing Clarity into Complexity.

Product Designer for AI & Security.

Specializing in AI-driven cybersecurity experiences that make complex systems feel inevitable.

✦ Ask about Ananthu
What makes Ananthu different as a designer?
He designs AI systems from the inside — not UI on top of them. His work on Navigator AI built explainability and trust into the interaction layer itself.
Tell me about his process Show me his work
Ask anything about Ananthu… Open ↗
Currently at Prevalent AI
Role Lead UX
Since 2018
00 Selected Work
01
Multi-Agent Systems Data Pipeline AI Orchestration
Nov 2025 – Jan 2026 · 10 Weeks · Design Lead View Case Study →

Studio —
Agentic Data Fabric

Zero-config data ingestion pipeline where a fleet of five named AI agents — Sentinel, Architect, Weaver, Arbiter, and Steward — negotiate how connector data maps into the Knowledge Graph. Weeks of engineering work reduced to hours, with full provenance and one-click rollback.

I Observable Agent Orchestration
II Conflict as First-Class UX
III Versioned, Reversible Commits
prevalent.ai / studio / pipeline
⬡ Studio · Finance BU Run · v4.2
Running Review & Commit
Connectors
Qualys 4,820 records
Done
Okta 1,204 identities
Done
Tenable Mapping…
Active
ServiceNow 1 conflict
Conflict
CrowdStrike Queued
Queued
Agent Pipeline
Sentinel
Discovery
✓
→
Architect
Schema
✓
→
Weaver
Transform
▶
→
Arbiter
Conflict
!
→
Steward
Validate
○
⚖ Resolution Required · Arbiter 74% confidence
Option A — Architect Map as CONTROL entity
Option B — Weaver Map as POLICY attribute
Graph Preview
HOST CVE CTRL ID ASSET 47 entities · 3 pending

Design Decisions

  • Named, observable agents — every action is attributed to a specific agent so users can audit, override, or re-run individual steps
  • Confidence threshold UI — teams set their own ambiguity tolerance; agents below it pause and create a Review Item rather than guessing
  • Graph commit as a transaction — preview blast radius before any write, roll back any commit to any prior state in one click
Data & Security Engineers Users
Design Lead Role
10 Weeks Timeline
02
AI Product Responsive Web + Mobile NLP Interface
Sep – Oct 2025 · 6 Weeks · Design Lead View Case Study →

Navigator —
AI Assistant

AI engine layered on the Exposure Management platform — reduces reliance on complex navigation by letting users query, interpret, and act on exposure data through natural language, grounded in the Knowledge Graph.

I Context-Aware Responses
II Explainable by Default
III Guided, Not Unbounded
prevalent.ai / navigator
Navigator · Scoped to platform data only
Knowledge Graph
What are the critical findings affecting the Finance BU right now?

There are 3 critical findings linked to Finance BU assets. The highest-priority is an unpatched RCE vulnerability on api.gateway, connected to 2 compliance controls currently failing in PCI-DSS.

ASM · api.gateway CCM · PCI-DSS 6.3 Graph · Finance BU
Suggested
Navigator

Design Decisions

  • Explainable outputs by default — every AI response surfaces its knowledge graph sources inline
  • Guided interaction over open chat — suggested prompts eliminate blank-canvas paralysis for analysts
  • AI strictly scoped to platform data — no unbounded queries, no autonomous actions, no hallucination surface
CISOs + SOC Analysts Users
Design Lead Role
6 Weeks Timeline
03
Dashboard Cybersecurity Enterprise
Dec 2024 – Jan 2025 · 8 Weeks · Design Lead View Case Study →

Exposure Management
Platform

Evolved a cybersecurity product into a comprehensive Exposure Management platform using a Knowledge Graph base with CCM and ASM built on top — shifting users from siloed risk views to connected exposure understanding.

I Connected Exposure Context
II Continuous Exposure Visibility
III Action-Oriented Views
prevalent.ai / exposure-overview
Exposure Score
72 RISK SCORE
High Risk
CCM Coverage
84%
↑ 3.2% this week
Attack Surface
1,247
↑ 42 new assets
Active Findings
318
↑ 12 since yesterday
Top Findings
AssetSeverityStatus
api.gateway Critical Open
auth-service High Open
db-cluster-01 Medium Resolved
cdn-edge-02 Low Open
Knowledge Graph · Finance BU
HOST CVE BU CTRL FIND RISK

Design Decisions

  • Progressive disclosure of relationships — graph complexity revealed only on user demand, not upfront
  • Preserved familiar CCM and ASM entry points to avoid relearning cost during platform evolution
  • Non-color-only severity signaling — icons and labels alongside color for full accessibility compliance
Security Analysts + CISO Users
Design Lead Role
8 Weeks Timeline
00 About

I'm a Product Designer based in India, focused on making AI and security systems feel understandable — not intimidating. My work sits at the intersection of research-led thinking, complex data modeling, and interfaces that respect the intelligence of their users.

At Prevalent AI, I lead UX for the core platform — translating the complexity of knowledge graphs, compliance frameworks, and attack surface data into flows that security teams actually want to use.

2020 – Present
Lead UX Designer Prevalent AI
Nov 2020
Staff UX Designer Tuna Software Solution
2019 – 2020
Jr. UX Designer Crypt4Bits Pvt Ltd
Good design in security
doesn't simplify reality —
it reveals the right
layer of it.
  • Research-led system thinking
  • UX Design
  • Enterprise Interfaces
  • AI/ML Collaboration
  • Knowledge Graph UX
  • Accessibility
00 Contact

Let's work
together.

✦ Ask about Ananthu