AI Security Consulting &
Data Protection in
Santa Monica, California

Technijian offers three AI security engagement models for Santa Monica: AI Security Assessment ($20,000–$40,000 one-time) delivers shadow AI discovery, M365 permission audit, AI vendor assessment, data classification evaluation, threat landscape report, and prioritized remediation roadmap with governance policy draft. AI Security Implementation ($60,000–$150,000 + $4,000/month ongoing) — our most popular tier — adds full M365 remediation, DLP policy configuration, sensitivity labels, Copilot security-first deployment, employee training, SOC 2/HIPAA AI controls documentation, and monthly monitoring with quarterly reviews. AI Security Enterprise (custom pricing) adds private LLM deployment, prompt injection defense, AI penetration testing, 24/7 monitoring, and incident response retainer. Call (949) 379-8500 for a Santa Monica-specific quote.

Traditional cybersecurity doesn’t cover AI-specific attack surfaces. Your firewall doesn’t inspect prompts sent to ChatGPT over HTTPS. Your SIEM doesn’t log when employees paste proprietary data into consumer AI. Your DLP policies weren’t designed for the “copy data, paste into AI, receive response” pattern. AI security consulting addresses: shadow AI discovery (what tools employees already use), M365 permission risks exposed by Copilot, AI vendor supply chain assessment, data leakage through AI prompts, prompt injection attacks on your AI features, AI output monitoring and hallucination prevention, and compliance documentation specific to AI controls. It’s a new security discipline requiring specialized expertise.

The #1 risk we find is shadow AI — employees using consumer AI tools (ChatGPT, Claude, Gemini, Midjourney) on company data without IT knowledge or approval. In a typical Santa Monica tech company or agency, 65%+ of knowledge workers use consumer AI. The data exposure includes: proprietary source code, client campaign data, financial projections, legal documents, HR records, and strategic plans — all pasted into tools that may train on inputs, have broad data retention policies, and provide zero audit trails. The second biggest risk: deploying Microsoft Copilot without auditing M365 permissions first, which surfaces over-permissioned access at the speed of a natural language query.

Yes — M365 permission audit before Copilot is a core requirement of our AI security methodology. We audit every SharePoint site, Teams channel, OneDrive folder, shared mailbox, and security group in your M365 tenant. In a typical 200+ employee Santa Monica organization, we find: 30–40% of SharePoint sites with overly broad permissions, 15–25% of employees accessing documents beyond their role, stale security group memberships from role changes, and shared links from former projects still granting access. We remediate all findings, restructure security groups around least-privilege, configure DLP and sensitivity labels, and deploy Copilot in phases with monitoring. Result: 90%+ adoption with zero data exposure incidents.

Yes. Private LLM deployment is essential for Santa Monica organizations handling data that cannot reach third-party AI services: law firms protecting attorney-client privilege, entertainment companies with unreleased content, healthcare organizations with PHI, and financial firms with MNPI. We deploy Llama 3, Mistral, or GPT-4 (through Azure OpenAI private endpoints) on your infrastructure — Azure, AWS, or on-premise. Combined with RAG systems that search your proprietary data with tenant-level isolation. Prompts never leave your network. Every interaction is logged for compliance. Guardrails prevent data leakage and prompt injection. Air-gap capability available for classified workloads.

Enterprise customers and compliance auditors are asking about AI controls — and most organizations can’t answer the questions. We build complete AI compliance documentation: SOC 2 AI controls mapped to Trust Service Criteria (how AI accesses data, who monitors AI outputs, what prevents AI data leakage), HIPAA AI compliance framework (how PHI is protected from AI exposure, BAA coverage for AI vendors, audit trails for AI interactions with health data), CCPA documentation (how AI processes personal information, data subject rights in AI contexts), and an AI security questionnaire response library that your sales team uses to answer enterprise prospects. The documentation is based on actual controls we implement — not theoretical frameworks.

Timeline for Santa Monica AI security engagements: AI Security Assessment (2–3 weeks) — shadow AI audit, M365 permission audit, vendor assessment, risk report, and remediation roadmap. AI Security Implementation (4–8 weeks for initial deployment, then ongoing monitoring) — M365 remediation, DLP configuration, Copilot deployment, training, and compliance documentation. First measurable risk reduction within 30 days. AI Security Enterprise (2–4 months for core deployment, then ongoing) — everything above plus private LLM, penetration testing, and 24/7 monitoring. Shadow AI risk reduces immediately once discovery and governed alternatives deploy.

Our headquarters is at 17 Corporate Plaza Drive, Irvine CA 92606 — approximately 45 minutes from Santa Monica. For Santa Monica AI security engagements, your security architect and PM meet you in-person for shadow AI discovery sessions, M365 audit reviews, training workshops, and quarterly security reviews. Whether you’re at Water Garden, Colorado Center, Wilshire Blvd, Ocean Park, or Montana Avenue — we conduct security work at your office. We also serve nearby Culver City, Playa Vista, Venice, Marina del Rey, Beverly Hills, and West LA.