Projects
Operational prototypes and experimental systems built to validate security hypotheses, evaluate automation strategies, and explore adversarial behavior in modern environments.
Design and validate automated cloud detection and response workflows capable of operating with minimal human intervention while maintaining safety guarantees.
Sentinel is an experimental cloud security framework focused on event ingestion, correlation, risk scoring, and controlled response automation. The system models security operations as a closed feedback loop rather than a static alert pipeline.
- reducing analyst toil through automation
- safe default response strategies
- noise reduction and alert quality
- operational observability
- policy-driven response engine
- simulated adversarial workload testing
- pluggable detector interface
Bridge physical telemetry and digital security signals into a unified correlation pipeline for anomaly detection and situational awareness.
Bridge explores ingestion and normalization of heterogeneous telemetry sources. The goal is to expose correlations between physical events and digital security indicators that traditional SOC tooling cannot observe.
- telemetry normalization
- event timing alignment
- cross-domain visibility
- operator usability
- stream backpressure handling
- schema registry
- alert generation layer
Investigate adaptive deception techniques for misdirection, attacker confusion, and behavioral shaping.
Mirage experiments with dynamic artifacts and environmental signals that alter attacker perception. Instead of static honeypots, the system explores adaptive misdirection informed by observed interaction patterns.
- attacker psychology modeling
- signal authenticity
- low operational overhead
- feedback-driven deception policies
- telemetry enrichment
Provide a controlled environment for evaluating prompt injection, tool misuse, and policy bypass behaviors in LLM workflows.
The sandbox enables repeatable adversarial testing scenarios with structured inputs and evaluation outputs. It focuses on measurable behavior rather than anecdotal experimentation.
- model safety boundaries
- automation risks
- evaluation consistency
- scenario library expansion
- automated scoring metrics
Standardize experimentation patterns, tooling, and project hygiene across the SynAccel ecosystem.
Forge provides templates, utilities, and reusable components that accelerate prototyping while maintaining consistency and reproducibility.
- developer velocity
- consistency
- repeatability
- project generators
- documentation automation