Security engineering with measurable outcomes.
Focused engagements built around defined trust boundaries, adversarial testing, observable state changes, evidence collection, and remediation that can be validated after the fix.
AI Agent Red Teaming & Consultation
Adversarial evaluation and security consultation for AI agents, copilots, and multi-agent systems. Engagements can cover prompt injection, unsafe tool use, excessive agency, identity and privilege boundaries, memory/context poisoning, delegation and inter-agent trust, orchestration failure, monitoring blind spots, containment, and recovery. Testing is tailored to how the system is actually deployed rather than reduced to standalone prompt testing.
Scope an agent assessmentCloud Security Review
AWS-focused architecture and configuration review covering IAM, network segmentation, security groups, logging, data exposure paths, secrets handling, and least privilege. Deliverables prioritize attack paths and concrete remediation instead of dumping raw configuration findings.
Scope a cloud reviewDetection Validation
Controlled generation of defender-relevant telemetry to determine whether SIEM, EDR, or AI-native SOC tooling actually observed and correlated the intended behavior. Ground truth is preserved independently so detection claims can be verified instead of assumed.
Scope validation workAdversary Simulation
Goal-oriented security validation using realistic TTPs against defined scope and rules of engagement. The focus is not only whether an action succeeded, but whether defenders observed it, correlated it, alerted usefully, and responded within an acceptable window.
Scope an adversary simulationDigital Forensics & Incident Response
Disk and artifact analysis, timeline reconstruction, malware triage, evidence preservation, user/system attribution, and incident-response workflow development. Findings distinguish direct observations from inference and preserve provenance throughout the analysis chain.
Discuss a DFIR needPenetration Testing
Network, web application, and cloud-focused assessments conducted against explicit scope. Deliverables include evidence-backed findings, severity and impact analysis, attack-chain context where relevant, and remediation steps that can be retested.
Request an assessmentDeception & Honeypot Engineering
Cloud-hosted deception environments, Cowrie hardening, threat-intelligence enrichment, telemetry normalization, and attacker-behavior analysis. Useful for research, detection engineering, and understanding what happens after initial access rather than stopping at connection logs.
Discuss deception architectureAI Evaluation & Benchmark Design
Security-aware benchmark architecture, test-case design, deterministic validation, rubric development, containerized evaluation, multimodal evaluation, and failure analysis across model, harness, test, oracle, state, and infrastructure layers.
Discuss evaluation designEngagements are scoped individually. If the problem crosses traditional boundaries, that is usually a reason to discuss it, not a reason to force it into the wrong service category.