SynAccel

Adversarial AI / Autonomous Defense

Adversarial AI.
Autonomous Defense.
Secure Systems.

SynAccel is an applied security research initiative exploring how intelligent systems are tested, defended, and secured across cyber, cloud, and AI-driven environments.

01 / Defensive Engineering

Building adaptive systems for resilient defense.

Cloud security automation, detection engineering, telemetry systems, secure infrastructure, and autonomous defensive operations.

02 / Adversarial Research

Testing intelligent systems under pressure.

AI red teaming, adversarial testing, model behavior analysis, offensive automation, and future-facing security assessment.

Research Direction

SynAccel studies the tension between adversarial intelligence and defensive automation.

Future security will be shaped by systems that attack, systems that adapt, and infrastructure that must remain trustworthy under pressure.

Team

Built by security researchers and engineers advancing the future of security.

Nicholas D’Acri

Nicholas D’Acri

Security Research / Development

Nicholas focuses on defensive automation, cloud security, detection engineering, and resilient infrastructure systems. His work centers on applied security research, operational tooling, and scalable defensive architecture.

Dominic D’Acri

Dominic D’Acri

AI Red Teaming / Adversarial Research

Dominic focuses on AI red teaming, adversarial testing, model behavior analysis, and offensive research for intelligent systems and emerging AI architectures.

Contact

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Building the next generation of adversarial and defensive security research.