Lance Brower - IT Specialist | ContraWork by Lance Brower
Lance Brower

Lance Brower

20 years in security - now securing AI agents and LLM tools

New to Contra

Lance is building their profile!

Cover image for Owned day-to-day security operations across
Owned day-to-day security operations across a 100+ endpoint enterprise environment spanning Windows and Linux - SIEM monitoring, intrusion detection, and antivirus/endpoint protection. Administered Active Directory and IAM under least-privilege principles (moves, adds, changes, disconnects), investigated and remediated security incidents, and configured secure remote access (VPN/RDP). Automated operational and security tasks with PowerShell and Bash, and managed infrastructure configuration with Ansible and Terraform.
0
10
Cover image for Owned day-to-day security operations across
Owned day-to-day security operations across a 100+ endpoint enterprise environment spanning Windows and Linux - SIEM monitoring, intrusion detection, and antivirus/endpoint protection. Administered Active Directory and IAM under least-privilege principles (moves, adds, changes, disconnects), investigated and remediated security incidents, and configured secure remote access (VPN/RDP). Automated operational and security tasks with PowerShell and Bash, and managed infrastructure configuration with Ansible and Terraform.
1
29
Cover image for Ran the Five Surfaces methodology
Ran the Five Surfaces methodology as a full red-team battery against eight named AI targets. Six Claude-family hosts (Claude Code on Opus 4.7, Sonnet 4.6, Haiku 4.5, and Antigravity on Opus 4.6 Thinking) came back clean or with a single disclosed finding. Two direct-to-model targets, MiniMax-M2 and gpt-oss:120b, failed with 16 and 38 findings respectively, most rated high severity. Published as evidence-grade case studies for insurance renewal, EU AI Act conformity, and acquisition diligence use.
1
27
Cover image for Built and maintain mcp-fuzzer, an
Built and maintain mcp-fuzzer, an open-source adversarial fuzzing tool for Model Context Protocol (MCP) servers. Thirty-four adversarial MCP tools spanning seven Surface-3 risk families (tool poisoning, schema confusion, privilege escalation, argument injection, and others), with 139 passing unit tests and CI running across Ubuntu, macOS, and Windows.
1
42