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Research & Innovation

At the edge of
what's possible

Our research agenda spans the most critical frontiers of intelligent systems — from agentic AI safety to quantum-resistant security infrastructure.

Research Areas

Ten frontiers
we're exploring

Agentic AI & Autonomous Systems
Multi-agent reasoning, planning, and safe autonomy
AI Safety & Alignment
Goal specification, value alignment, and safe deployment
Secure AI Infrastructure
Adversarial robustness, model security, and supply chain threats
AI Governance Frameworks
Regulatory compliance, audit mechanisms, and accountability
Cyber-Physical Security
Attack surfaces in connected industrial and IoT environments
Quantum-Resistant Cryptography
Post-quantum algorithms and migration strategies
Digital Twin Intelligence
Fidelity, calibration, and real-time synchronisation
Human-AI Collaboration
Interaction design, trust calibration, and shared agency
Future Commerce Platforms
Predictive commerce, synthetic data, and personalisation ethics
Edge Intelligence Systems
Federated learning, distributed inference, and edge security
Focus Areas

Current focus

Active Research

Autonomous Systems Security

Examining threat models and safety constraints for LLM-controlled robotic and autonomous systems in real-world deployments.

Active Research

Responsible AI Deployment

Developing practical governance frameworks for high-risk AI system classification, auditing, and continuous compliance.

In Development

Intelligent Digital Infrastructure

Secure, self-healing digital twin ecosystems in critical infrastructure and smart environments at scale.

Exploratory

Post-Quantum Security

Cryptographic primitives and protocols resilient to quantum computing threats for enterprise systems and protocols.

Exploratory

Adversarial ML

Testing AI model robustness against adversarial perturbations, data poisoning attacks, and model inversion.

In Development

Edge AI Safety

Ensuring reliable, fair, and secure AI inference on resource-constrained edge devices in safety-critical contexts.

Publications & Insights

Research output

White Paper · AI Security
Securing LLM-Controlled Robotic Systems: A Red-Teaming Framework
PHEXARA Research Team — Cybersecurity & Autonomous Systems
Forthcoming
Research Paper · AI Governance
Deployer Liability in AI Systems: Governance Failure in Critical Applications
PHEXARA Research Team — AI Governance Practice
In Review
Technical Report · Cybersecurity
Autonomous Attack Agents for AI System Red-Teaming: Methodology & Findings
PHEXARA Research Team — Offensive Security Division
In Progress
Framework · Edge Intelligence
Security Architecture for Distributed Edge AI Networks in Critical Infrastructure
PHEXARA Research Team — Edge Systems Group
Planned