Skip to content

Cybersecurity research and engineering

Greenwood Cyber + AI Lab

Cyber Resilience for the AI Era

We build and evaluate defender tools, data-protection patterns, and test suites that make AI systems safer in production.

Scope

Where we focus

The work follows three risk paths: how defenders use AI, how sensitive data moves through AI systems, and how AI platforms can be attacked.

Using AI for cybersecurity

Help analysts detect, investigate, and respond faster while keeping evidence, escalation, and accountability visible.

Protecting data in AI

Set boundaries for sensitive data across prompts, retrieval, applications, logs, and model outputs.

Protecting AI platforms

Find and reduce ways AI systems can be attacked, misused, monitored poorly, or trusted too soon.

Principles

How we work

The lab uses AI to support accountable security work and human judgment without letting automation own the outcome.

  1. Human Accountability

    The lab uses AI to support accountable security work and human judgment without letting automation own the outcome.

  2. Data Boundaries

    Sensitive data boundaries are defined before deployment, including prompts, retrieval, logs, and outputs.

  3. Evidence-Driven

    Recommendations need tests, measurements, or enough detail for others to evaluate and reuse the work.

  4. Automation Limits

    Automation earns scope gradually, with review points, limits, and a path for human intervention.

  5. Resilience

    Systems should fail safely, recover well, and remain observable under pressure.

Featured Work

Project examples

These examples show the kind of work the lab supports: understand the system, focus the risk, test what matters, and turn findings into practical decisions.

Location

Based in Greenwood

The lab is in a region shaped by energy, aerospace, defense, finance, higher education, and critical infrastructure, making Greenwood a practical base for work on cyber resilience and AI security.

Greenwood building connected to the lab’s local learning and partnership work.
Greenwood’s restored historic hospital anchors the lab’s cybersecurity and AI research setting.

Leadership

Meet the team

The lab’s leaders bring security, engineering, and field experience to projects shaped with customers and partners.

Portrait of Michael Salazar

Michael Salazar

General Manager

Portrait of Joseph Aguayo

Joseph Aguayo

Technical Director

Contact

Work with the lab

The lab partners with researchers, defenders, educators, students, workforce groups, community organizations, and security teams on practical AI security problems.

Microsoft Forms

Send a request

The form collects your name, email address, and a short description so the lab can review and respond to your request.

Do not include passwords, sensitive personal data, customer confidential information, or details of an active security incident.

Open Microsoft Forms

Microsoft will use the information you provide to review and respond to your request. See the Microsoft Privacy Statement.