// Risk frameworks, data loss prevention, and compliance controls for enterprise AI.
As enterprises adopt generative AI and automated decision systems, new risks emerge: prompt injection, training data poisoning, and customer PII leakage. Sinan Arcana secures enterprise AI implementations against adversarial threats.
Why this capability matters to your business.
Deploying AI without guardrails exposes banks and enterprises to severe data leakage, hallucinated regulatory errors, and sophisticated indirect prompt injection attacks.
Enterprises, financial institutions, and tech organizations deploying customer-facing AI agents or internal LLMs.
Technical Engagement Methodology
Every engagement follows structured, repeatable, and disciplined operational phases.
AI Asset & LLM Discovery
Mapping internal shadow AI usage, commercial LLM APIs, and sensitive data ingested into model pipelines.
Adversarial Red Teaming of AI Models
Simulating prompt injection, jailbreaking, data extraction, and model evasion attacks.
Data Loss Prevention Guardrails
Implementing real-time token filtering and masking to prevent customer PII leakage to public LLMs.
Enterprise AI Policy & Ethics
Authoring responsible AI usage policies, employee guidelines, and compliance documentation.
Deliverables You Can Act On
We deliver concrete technical artifacts and board-ready executive summaries—never generic automated scanner exports.
Whether you're hardening defenses, preparing for an incident, or in the middle of one, the first call is the same.