Founder

Building secure AI for high-stakes environments.

Evening Star AI exists for the places where AI cannot be treated like a demo: cybersecurity, critical infrastructure, defense-adjacent operations, autonomous systems, regulated enterprises, and executive decision-making.

AI is only useful when it can be tested, explained, governed, and trusted under pressure.

Andrew Scott

Founder, Evening Star AI

Andrew Scott is a hands-on AI security researcher, platform builder, and cyber defense leader with more than 15 years of experience across cybersecurity, applied AI, secure software systems, autonomous systems, and mission-critical engineering.

He founded Evening Star AI around a practical conviction: useful AI has to survive messy data, adversarial behavior, ambiguous requirements, operational constraints, and leadership scrutiny. The goal is not just to build impressive models. The goal is to build AI systems that people can responsibly deploy, monitor, challenge, and explain.

Andrew's work combines offensive security judgment, defensive cyber operations, AI/LLM security testing, secure platform engineering, vulnerability intelligence, and safety-critical systems thinking. He has led security assessments of AI-enabled applications, cloud-connected platforms, APIs, retrieval workflows, and agentic systems, with emphasis on prompt injection, insecure retrieval, unsafe tool use, sensitive-data exposure, weak authorization, model misuse, and guardrail failure.

Through Evening Star AI / Applied Labs, Andrew builds practical AI security and decision-support prototypes that turn emerging AI failure modes into concrete workflows, controls, dashboards, and decision support.

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Experience 15+ years across cybersecurity, applied AI, secure software, autonomous systems, defense cyber, and safety-critical engineering.

AI Security LLM security testing, AI assurance, prompt injection, RAG/retrieval risk, unsafe tool use, model misuse, data leakage, guardrails, and NIST AI RMF / OWASP LLM alignment.

Applied AI Builder Python, FastAPI, Docker, local LLMs, structured outputs, retrieval workflows, evaluation harnesses, anomaly detection, drift monitoring, and operator-facing dashboards.

Army Cyber Leadership Cyber defense leadership with the Michigan Army National Guard's 172nd Cyber Protection Team, including incident-response readiness, threat hunting, vulnerability management, tabletop exercises, and OT/ICS risk.

Safety-Critical Systems Engineering leadership across autonomous, embedded, defense, and cyber-physical systems where reliability, traceability, validation evidence, and risk decisions matter.

Education & Credentials M.S. Electrical & Computer Engineering, MBA, B.S. Electrical Engineering, B.S. Computer Engineering, Trusted AI Safety Expert, GIAC GSLC, GPEN, GISP, CySA+, PenTest+, Cloud+, AWS Cloud Practitioner, CCNA, CEH.

Selected Applied Labs Work

Research patterns turned into working systems.

Purple Firefish

An AI security gateway concept focused on prompt injection, jailbreak attempts, unsafe tool execution, sensitive-data leakage, policy enforcement, and agentic workflow risk.

Purple Radar

An AI-assisted vulnerability intelligence workflow that turns noisy vulnerability, exploit, and threat context into prioritized findings, risk rationale, and remediation-oriented recommendations.

Candles Edge

An AI analytics platform using Python, FastAPI, Docker, model-driven scoring, anomaly detection, drift monitoring, calibration metrics, historical analogs, structured outputs, explainability summaries, and local LLM support.

Education & Credentials

Technical depth, security discipline, and applied leadership.

Andrew holds an M.S. in Electrical & Computer Engineering with graduate AI/ML research, an MBA, B.S. degrees in Electrical Engineering and Computer Engineering, and a full-stack software engineering certificate. His credentials include Trusted AI Safety Expert, GIAC GSLC, GIAC GPEN, GIAC GISP, CompTIA CySA+, PenTest+, Cloud+, AWS Cloud Practitioner, CCNA, CEH, SAFe Scrum Master, and DFSS Black Belt.

Operating Style

Rigorous, security-minded, and built for deployment reality.

Evening Star AI reflects Andrew's operating style: rigorous, security-minded, plainspoken, and built for the gap between research ideas and systems that must actually work.

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