Praesago AI
An Enterprise Adversarial Testing
Platform for AI Development Pipelines
A practical, repeatable way to test AI model robustness as part of the development lifecycle
Praesago AI is TrustThink’s adversarial and robustness testing platform designed to integrate directly into an organization’s AI development and DevSecOps workflows. It enables engineering teams to evaluate how models behave under adversarial conditions early and continuously—before deployment and as models evolve.
Rather than treating robustness testing as a one-time exercise, AssuredAI supports ongoing evaluation, helping teams identify degradation, track improvements, and make informed decisions as models, data, and environments change.
Built for Development and DevSecOps Integration
Praesago AI is designed to fit naturally into modern AI development environments.
The platform supports common model formats—including TensorFlow, PyTorch, ONNX, and Keras—and operates on datasets already used within development pipelines. Teams can create projects, upload models and datasets, configure test parameters, and run evaluations without restructuring their workflows.
Praesago AI can be used interactively by engineers or integrated into automated pipelines to support continuous testing alongside training, validation, and deployment processes.
Features & Benefits
Adversarial and Robustness Testing Capabilities
Actionable Results for Engineering Teams
Designed for Continuous Evaluation
Enterprise-Ready Architecture
Adversarial and Robustness Testing Capabilities
Praesago AI evaluates model behavior under adversarial pressure by generating controlled perturbations and measuring their impact on performance.
Core capabilities include:
Baseline accuracy assessment
Establishing model performance prior to adversarial testing.
Adversarial attack execution
Running configurable adversarial techniques against models to assess susceptibility and failure modes.
Accuracy degradation analysis
Quantifying performance drop under adversarial conditions using repeatable metrics.
Scenario configurability
Allowing teams to tune parameters such as perturbation strength and sample volume to reflect operational risk tolerance.
Test results are recorded and associated with specific models and runs, enabling comparison across versions and over time.
Actionable Results for Engineering Teams
Praesago AI produces clear, structured outputs designed for technical decision-making.
Results include:
Attack success rates and accuracy impact
Aggregated metrics across multiple test runs
Sample-level results supporting deeper analysis
Visual summaries that highlight performance degradation
These outputs help teams understand not just whether a model can be disrupted, but how, to what extent, and under what conditions.
Designed for Continuous Evaluation
AI systems change continuously—through retraining, tuning, data updates, and environmental drift. Praesago AI is built to support this reality.
By integrating adversarial testing into regular development cycles, teams can:
Detect regressions early
Track robustness improvements across model versions
Support internal assurance and release decisions
Provide evidence of testing for internal governance or external review
The platform supports a repeatable, defensible approach to AI robustness testing over the full model lifecycle.
Enterprise-Ready Architecture
Praesago AI is designed to operate as part of enterprise environments, supporting:
Project-based organization of models and results
Persistent storage of evaluation data
Compatibility with secure development environments
Integration into existing tooling and workflows
The platform can be deployed and operated in alignment with organizational security and infrastructure requirements.
Who Praesago AI Is For
Praesago AI is designed for organizations that:
- Develop and deploy AI models in high-consequence environments
- Require repeatable, defensible robustness testing
- Want to integrate adversarial testing into DevSecOps pipelines
- Need engineering-focused tooling rather than one-off assessments
This includes teams in defense, transportation, critical infrastructure, regulated industries, and advanced research environments.
Learn more about Praesago AI
or request a demonstration
Praesago AI gives engineering teams a practical way to understand how AI models
behave under pressure—and to build more resilient systems over time.