Program managers & mission owners
Define fielding evidence, acceptance thresholds, operational constraints, and residual-risk decisions.
Defense & government
Mission assurance for AI-enabled systems.
We evaluate AI under realistic mission and adversarial conditions, then translate the evidence into controls, acceptance criteria, escalation paths, and decision artifacts that public-sector leaders can use.
The category
Mission AI assurance is Syntony's specialized defense and government practice. It connects technical evaluation to the authority responsible for procurement, authorization, fielding, risk acceptance, and sustained operation.
Policy sets the standard. Assurance supplies the evidence.
Public institutions increasingly have principles, frameworks, and review bodies. The unresolved problem is proving how a specific AI-enabled system behaves in context—and carrying that evidence into the decision that determines whether and how it is used.
In practice, federal AI assurance spans AI safety, cybersecurity, acquisition, and test and evaluation. Defense AI testing and government AI red teaming matter when their results reach the program decision and lifecycle controls.
Syntony works at that seam: between technical evidence and accountable public authority.
Built for
Teams responsible for the whole decision
We enter where technical performance, security, procurement, oversight, and mission consequences meet.
Acquisition & contracting teams
Turn AI claims into testable requirements, evaluation protocols, performance measures, and lifecycle obligations.
AI, data, cyber & governance offices
Implement portfolios, controls, review gates, monitoring, incident response, and change management.
Test & evaluation organizations
Extend evaluation from a base model into human-system, integrated-system, and operational performance.
Defense AI vendors & integrators
Build government-ready evidence for buyer evaluation, cyber review, authorization, and sustained delivery.
Primes & allied public-sector teams
Assess AI-enabled suppliers and align evidence across organizations, missions, and operating environments.
Priority offers
Where Syntony enters the program
Before the pilot
Strategic Risk & Readiness
Scope the mission, system boundary, threat model, governance gaps, and required evidence.
View service → Before fieldingMission AI Assurance & TEVV
Apply test, evaluation, verification, and validation across model, human-system, integration, and operational behavior.
View service → For agentic workflowsAgent Security & Control
Test permissions, tools, identity, prompt injection, unsafe delegation, override, and recovery behavior.
View service → During acquisitionAcquisition & Vendor Evaluation
Define requirements, validate claims, run realistic comparisons, and set acceptance and monitoring criteria.
View service → For review and authorizationGovernance & Authorization Readiness
Build AI-specific threat, provenance, test, control, monitoring, and risk-acceptance evidence.
View service → After deploymentContinuous AI Assurance
Maintain tests, evidence, accepted risks, controls, and change reviews across the system lifecycle.
View service →
What the customer receives
Evidence that travels with the decision.
A useful evaluation does not stop at a vulnerability list. It carries forward into the program artifact, control, acceptance criterion, escalation rule, and regression test.
- Mission-specific risk and threat model
- Scenario and adversarial evaluation plan
- Replayable traces and test results
- Model, system, and human-workflow findings
- Control and ownership map
- Acceptance and escalation criteria
- Residual-risk and program decision brief
- Regression suite for future changes
Operating method
From mission context to maintained assurance
- 01Define the mission
Name the system, operator, environment, adversary, and accountable decision.
- 02Build the evidence plan
Set evaluation layers, scenarios, data, thresholds, and acceptance criteria.
- 03Challenge the system
Test behavior under representative, adversarial, and degraded conditions.
- 04Support the decision
Translate evidence into controls, residual risk, and review artifacts.
- 05Re-test change
Maintain assurance as models, data, integrations, missions, and threats evolve.
Framework alignment
Mapped to the customer's actual review path.
Where relevant, findings and evidence can be mapped to NIST AI RMF, the DoD AI Cybersecurity RMF Tailoring Guide, applicable cybersecurity and risk-management processes, responsible-AI guidance, acquisition artifacts, and customer-defined test and evaluation requirements.
Mapping supports review; it is not a claim of universal compliance or certification.
Relevant foundation
Built from work across technology, security, and public authority.
Fourteen years across geopolitics and emerging technology.
Prior decision-science work supporting U.S. Department of Defense clients on emerging-technology risk, AI integration, and security cooperation.
Frontier-model red-team experience paired with research on international humanitarian law, synthetic media, European defense cooperation, and governance lag.
Founder-led delivery with specialist collaborators engaged where appropriate and with client agreement.
Make the next decision defensible
Scope a defense or government engagement.
Whether you are evaluating a vendor, preparing a pilot, testing an agentic workflow, or building an assurance program, we can scope the evidence the decision requires.