Sentry Flag is a vulnerability research lab
Sentry Flag is a specialized cybersecurity lab hardening macOS, iOS, and Linux against advanced persistent threats, with deep expertise in adversarial evaluation of frontier AI systems. We apply offensive security methodology and behavioral science to the models themselves - and to the threat actors that target them.
Focus Provider Vectors
Apple · Google · Anthropic · OpenAI
Target surfaces
macOS · iOS · Linux · Frontier LLMs
Research focus
Advanced persistent threats
Jurisdictions
US · UK
§ Capabilities
Research across the full stack - kernel to model weights.
The lab operates at the intersection of low-level platform security and frontier-AI safety. The same adversarial methodology - probing grounded in behavioral science and formal threat modeling - applies to kernels and to language models alike.
Vulnerability research & CVE coordination
Zero-day discovery, exploit-chain development, and coordinated vulnerability disclosure across Apple and Linux platforms. Active CVE assignment and MITRE ATT&CK mapping for all disclosed findings.
Advanced persistent threats
Adversarial testing of large language models and autonomous agents - jailbreak research, prompt-injection surface analysis, safety benchmark development, and behavioral evaluation of frontier models under adversarial conditions.
Alignment-informed threat modeling
Behavioral-science methodology applied to AI safety: modeling attacker intent, mapping cognitive attack surfaces in autonomous agents, and evaluating the failure modes that emerge when models reason under adversarial pressure.
Platform & supply-chain hardening
Threat modeling and mitigation engineering for macOS, iOS, and Linux against sophisticated persistent adversaries. Secure deployment guidance for AI-serving infrastructure and model supply chains.
§ Approach
Behavior, not signatures.
Static signatures and rule-based defenses fail against adaptive adversaries - and against language models that reason their way around them. Sentry Flag operates from the adversary's perspective: model the attacker, model the system, and find the seams where the two predictably intersect.
- [ 01 ]
Probe
Evaluate platforms, models, and autonomous agents under realistic adversarial conditions.
- [ 02 ]
Disclose
Coordinated vulnerability disclosure to vendors and platform owners, with full technical reproduction and MITRE ATT&CK classification.
- [ 03 ]
Harden
Deliver mitigations, adversarial evaluation suites, and threat models that anticipate the next generation of attack.