Cybersecurity, AI Trust & Strategic Advisory

Security and trust are the biggest barriers to enterprise AI adoption. Boards ask "what could go wrong?" — and they are right to. AI systems introduce new risks that classical application security was not designed to address: prompt injection, training-data poisoning, model exfiltration, hallucinated outputs taking real business actions. Adopting AI responsibly means addressing these risks deliberately, not assuming traditional controls cover them.

Zero Trust architecture. Zero Trust is the foundation: verify every request, trust nothing by default, segment access by role and need-to-know. We implement Zero Trust principles across identity, network, and data layers — multifactor authentication, conditional access, network microsegmentation, and least-privilege access policies that hold up under audit.

AI and LLM-specific security. Beyond traditional application security, AI systems require AI-specific controls. Prompt injection defenses sanitize user input that might contain instructions intended to override the model's behavior. Output filtering catches sensitive data before it leaves the system. Model isolation prevents one customer's data from leaking into another's responses. Rate limiting and abuse detection catch adversarial patterns that do not look like classical application attacks. We design these controls into AI applications from the start rather than retrofitting them after a problem appears.

Governance, risk, and compliance. AI introduces new compliance considerations — GDPR for training data, sector-specific rules in healthcare and financial services, emerging AI-specific regulation. We help teams build governance frameworks that document model lineage, track decisions made by AI systems, and provide the audit trail regulators are increasingly asking for. The work is not paperwork for its own sake; it is the operational discipline that lets you scale AI without taking on uninsured risk.

Strategic AI advisory. For leadership teams, the harder question is often "what should we adopt, in what order, with what guardrails?" We provide strategic advisory that connects technical capability to business outcome — defining adoption roadmaps, conducting technical due diligence on vendor claims, and helping leadership decide where to invest, where to pilot, and where to wait.