SynAccel is an independent R&D initiative exploring how automation, intelligent systems, and emerging AI technologies can detect, prevent, and adapt to cyber threats. Our work now includes safe AI red-teaming practices, model behavior analysis, and early-stage robustness research to understand how AI systems operate and how they fail.
We build practical prototypes—automation logic, simulations, and experimental evaluations—that move security toward adaptive, resilient, and self-defending systems.
Lightweight automations that enrich alerts, correlate signals, and trigger safe defensive responses using Python, APIs, and open-source tooling.
Detection engineering for emerging telemetry, including heuristics and models designed to remain stable under spoofing, noise, and evolving behavior patterns.
Exploratory evaluations of AI system behavior, robustness, and failure modes in controlled scenarios. Focused on understanding how intelligent systems react under stress, misuse, and adversarial conditions.