Trusted Red Team Network

Work with us

Realistic adversarial testing. Systems thinking. Geopolitical forecasting. We bring specialists into project-based engagements where independent evaluation actually changes a decision.

What this network is

Syntony runs an adversarial evaluation practice for frontier labs, public sector clients, and enterprise deployments. The Trusted Red Team Network is the bench we draw from when a scope demands depth we do not keep in-house full-time.

Engagements are project-based and confidential. Specialists bring published work, demonstrable expertise, and the judgment to turn a finding into evidence a reviewer can act on.

Project-based, not gig-shop

Scoped engagements with a threat model, evidence requirements, and a clear deliverable. Not crowdsourced bug hunting.

Multi-disciplinary by design

ML security, prompt engineering, policy analysis, geopolitical forecasting, and systems thinking work side by side on the same engagement.

Findings tied to governance

We do not leave reports in a drawer. Specialists see how their work flows into mitigation, control, and oversight decisions.

NDA-protected, decision-relevant

Client details are confidential. Engagements run under NDA and findings are scoped to be reproducible where safe to disclose.

Who we're looking for

Areas of expertise

ML Security & Adversarial Robustness

Model-level attack research, robustness evaluation, and defense analysis for frontier and production systems.

Prompt Engineering & Jailbreaking

Documented bypasses, structured probing methodologies, and the discipline to turn a one-off into a class of finding.

Policy Analysis & Governance

Translation between technical findings and the controls, escalation triggers, and oversight artifacts they imply.

Geopolitical Forecasting & Strategic Risk

Scenario analysis, compute and supply-chain dynamics, and threat modeling at the level of states and institutions.

Systems Thinking & Complex Systems

Causal mapping, feedback analysis, and the ability to trace a finding through the operational environment around it.

Agentic Systems Evaluation

Tool use, memory, autonomy, and delegation testing for systems that act on their environment.