Security leadership · Applied AI · Open source

I turn hard security problems into systems people can actually use.

I lead security organizations, build practical tools, and write about the systems behind secure cloud, software, and AI products.

25+
years in security
300+
SaaS services influenced
Global
teams and programs
MLX Control Center operations dashboard running local AI models on Apple Silicon
Featured build · 2026 MLX Control Center

A local-first control plane for running, measuring, and governing open models on Apple Silicon.

Read the build story

Things I’ve built and shipped

A mix of open-source engineering, applied research, and tools designed to make security decisions clearer.

01 / Featured case study

From a conference idea to a working local AI lab

I built an MLX-based operating environment for local models: model lifecycle management, an OpenAI-compatible endpoint, reproducible benchmarks, memory admission controls, privacy-bounded telemetry, and a browser control center.

  • Local-first model operations and governance
  • Measured latency, throughput, and memory behavior
  • Practical controls for responsible experimentation
Read the full case study
MLX Control Center model harness showing generation settings and telemetry

Writing from the work

Long-form notes on AI systems, security strategy, cloud operations, and what changes when ideas meet production.

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Strategy that survives contact with engineering

The best security programs are technically credible, operationally measurable, and easy for product teams to adopt.

01

Build the useful thing

Start with the decision or workflow people struggle with, then make the secure path concrete and repeatable.

02

Measure the system

Use telemetry, risk signals, and feedback loops to distinguish visible activity from meaningful progress.

03

Scale through people

Pair technical controls with developer enablement, clear ownership, and teams trusted to improve the model.

Built across the stack. Led across the organization.

My career moved from hands-on security engineering to product security, cloud strategy, and global leadership. That range shapes how I build: architecture, incentives, operations, and customer trust are one connected system.

Dmitriy Dunavetsky

Based in the San Francisco Bay Area.
Working globally across product, engineering, and go-to-market teams.

VP, Product Security & Cybersecurity

Dayforce · Global product security across 300+ SaaS services.

Engineering Director, Security

Synopsys · Cloud and application security strategy for engineering products.

Director, Cloud Security Engineering

Automation Anywhere · Cloud security, compliance, and container delivery.

Senior Security Consultant

Amazon Web Services · Secure cloud adoption for ISVs and enterprises.

Security engineering to executive leadership

Clorox, PwC, Safeway, and Target · Enterprise security, risk, compliance, and operations.

AWS Security – Specialty AWS Solutions Architect Cloud & product security AI/ML security BS, Computer Science

Building something that needs security to be an advantage?

I’m always interested in ambitious security programs, thoughtful AI systems, and practical open-source work.

LinkedIn GitHub