On Mission
To enable AI-driven organizations to move fast, innovate boldly, and deploy with confidence—without compromising security.
About HYPERGAME
For AI-driven organizations, a single unseen vulnerability can derail innovation or compromise critical data. Attackers evolve faster than traditional security.
That’s why we founded HYPERGAME — to defend intelligent systems in high-stakes environments against ever-adapting adversaries. Combining deep AI expertise with battle-tested cyber defense strategies and our proprietary SDSM.AI secure-design framework, we safeguard your algorithms, data, and models so you can innovate with confidence.
HYPERGAME Delivers:
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AI-Native Expertise: Our team of AI researchers and cybersecurity veterans brings unmatched knowledge of machine learning systems, allowing us to secure neural networks and data pipelines from the ground up using our threat-informed defense mapping methodology.
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Adversarial Resilience: We harden your AI models against attacks like data poisoning, adversarial inputs, and model theft—ensuring reliable, trusted outcomes even under attack through comprehensive structural risk analysis and dependency mapping.
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AI-Driven Threat Intelligence: We leverage advanced AI detection and predictive analytics to gain deep visibility into emerging threats. Our AI-native security engine analyzes patterns in real time, anticipating malicious tactics and identifying attacks before they strike. By illuminating hidden threat vectors, we empower your team to stay one step ahead of adversaries at all times through continuous security posture tracking and attack graph visualization.
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Operational Resilience & Speed: Maintain continuous protection with adaptive defenses that respond in seconds through MLSecOps integration and real-time monitoring aligned with the SDSM.AI implementation roadmap.
HYPERGAME is led by Philip A. Dursey, with over 20 years of experience in AI and cybersecurity, including technical security leadership roles at E*TRADE, HBO, T-Mobile, AI infrastructure startup, Hydra Host, and advanced technical training at Oxford, Stanford, and MIT. He developed INJX.AI, HYPERGAME's autonomous AI red teaming platform, and established AISecurity.Pro, a key resource for AI security testing.
His work, supported by contributions to the NIST Artificial Intelligence Safety Institute Consortium (AISIC) Red Teaming & Security working groups, SDA-TAP Lab, and SPACE-ISAC AI Cyber Wargames, underscores his role as a trailblazer in securing AI for both startups and enterprises.
His work at HYPERGAME combines deep technical expertise with a proactive, systems thinking, approach to AI security.
AI Security Leadership
Structured
& Adaptive
The HYPERGAME Approach
Intelligence-Driven. Adversary-Resilient. Proactive by Design.
AI security isn’t a static checklist—it’s an adversarial battleground.
At Hypergame, we take an AI-native, threat-informed approach to securing your models, data, and infrastructure. Our methodology anticipates, detects, and neutralizes adversarial threats before they can disrupt operations or compromise trust.
This is the foundation of our SDSM.AI framework: a structured defense model built on three core pillars.
1. AI Threat Intelligence & Predictive Defense
Adversarial attacks evolve fast. We move faster.
Our team maps and forecasts AI-specific threats using:
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Real-time attack intelligence
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Red-team simulations
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Adversarial machine learning research
All of this feeds into our Threat-Informed Defense Mapping, which generates detailed attack graph models—visualizing likely paths, control points, and system-level exposure. From data poisoning to model extraction, we help you preempt the threats of today and anticipate what’s next.
Outcome: Early insight. Strategic preparedness. Reduced attack surface.
2. Adversarial Resilience & Active Defense
We don’t just harden systems—we force attackers to adapt and fail.
Our active defense strategy combines:
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Automated red teaming & adversarial stress testing powered by Structural Risk Analysis
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Deception-based defense using dynamic dependency mapping to mislead and stall adversaries
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Adaptive security hardening, prioritized via our Impact-Effort Matrix for maximum ROI
Every attempted intrusion teaches your system how to defend itself better—automatically.
Outcome: Self-improving defense. Higher attacker cost. Stronger systems over time.
3. Continuous AI Security & Compliance Assurance
AI innovation doesn’t pause—and neither should your security.
Our MLSecOps integration embeds security into every phase of the AI lifecycle. We:
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Provide real-time threat monitoring and anomaly detection
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Deliver continuous security posture tracking
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Align systems with SOC 2, GDPR, the EU AI Act, and more—via a clear implementation roadmap
Security becomes an accelerator, not a blocker.
Outcome: Always-on protection. Audit-readiness. Innovation without compromise.