Secure AI mission assurance room with analysts, provenance displays, model behavior views, and evidence workflows
Adversarial AI & Mission Assurance

Mission knowledge, model realignment, and synthetic-force systems.

Starzl builds AI systems for teams that need trusted source acquisition, controllable model behavior, and authorized adversary emulation with reviewable evidence.

AI mission systems

Three products for adversarial AI work.

Automated Knowledge Acquisition System builds the knowledge base, Skill Realignment Suite controls open-weight model behavior, and Specialized Offensive AI gives partners a bounded way to run synthetic-force missions and red-team scenarios.

Skill realignment suite model behavior evaluation lab with review displays
Model behavior control

Skill Realignment Suite

A behavioral tuning platform for open-weight models that lets teams define desired behavior, preview changes, evaluate risk, save recipes, and export controlled model variants.

  • Behavior profiles, recipes, and advanced steering controls
  • Abliteration, control-vector, and adapter-based methods
  • Before-and-after evaluation for refusal, coherence, and capability impact
Mission fitUse when a program needs model behavior tuned to a mission policy and checked before release.
Authorized specialized offensive AI range with mission planning displays
Authorized adversary emulation

Specialized Offensive AI

Specialized Offensive AI runs mission-oriented agent teams with decomposition, task routing, execution, and automated evaluator gates for authorized red-team and adversary-emulation work.

  • Mission plans decomposed into bounded work packages
  • Specialized agents supported by ACE execution workflows
  • Evaluator loops that reject weak outputs before submission
Mission fitUse when partners need realistic AI opposition, synthetic teams, or red-team labor inside a controlled mission boundary.
Knowledge acquisition
Acquire

Speech, visuals, OCR, metadata, and source records are captured for inspection.

Skill realignment
Tune

Behavior changes are previewed, measured, and saved as repeatable recipes.

Offensive AI
Exercise

Agent teams run bounded missions with evaluator gates and reviewable outputs.

Output
Evidence

Results include assumptions, findings, checks, mitigations, and retest paths.

Control
Authorize

Mission boundaries and review points remain explicit throughout the workflow.

Evaluation design

What partners need before operational trust.

Adversarial AI becomes credible when source material is inspectable, model changes are measured, and synthetic-force outputs are reviewed under realistic pressure.

01
Source Record

What was acquired, where it came from, what was extracted, and what provenance remains attached.

02
Behavior Recipe

The target model, datasets, steering method, intensity, evaluation results, and export path.

03
Mission Log

Synthetic-force plans, agent tasking, rejected outputs, verification checks, and human decisions.

04
Risk Package

Adversarial findings, residual risks, mitigations, retest plan, and leadership decision points.

Secure AI mission knowledge room with map-driven workflows and source evidence
Mission fit

Use autonomy where accountability survives pressure.

The AI systems are built for mission advantage. The operating controls, source records, behavior changes, and evaluation results are as visible as the desired effect.

  • KnowledgeAutomated Knowledge Acquisition System creates inspectable mission context from video, web, documents, and source repositories.
  • ModelsSkill Realignment Suite gives teams a controlled way to tune, preview, measure, and export behavior changes.
  • OppositionSpecialized Offensive AI turns adversary emulation into bounded missions with task logs and evaluator gates.