Secure AI SystemsBuilt for the Enterprise
Protect your AI agents, RAG systems, copilots, and LLM applications from prompt injection, data leakage, model manipulation, agent abuse, and emerging AI threats.
Your AI Is Already in Production. Is It Safe?
Generative AI moved from research demo to revenue-critical infrastructure in eighteen months. Customer-facing copilots, internal RAG search, autonomous agents with CRM and email access — these systems are shipping every week, and most of them ship without a single threat model.
Traditional application security testing was not built for this. Static analysis cannot reason about a prompt. A SAST tool will not catch indirect prompt injection arriving through a retrieved document. A WAF will not stop an agent from using its own legitimate email tool to exfiltrate data. The OWASP LLM Top 10 exists for a reason — and most teams have not yet mapped their AI surface to it.
Datamart builds AI products of our own. We have shipped LLM pipelines, agentic workflows, and RAG systems in production for real users. That gives us a working engineer's view of how AI systems actually break — not a checklist copied from a vendor brochure. We help enterprises deploy AI safely, prove it to auditors, and keep proving it as models, prompts, and tools evolve.
AI Security Services
From single-system audits to enterprise-wide AI governance programs.
What Attackers Are Doing to AI Systems
A non-exhaustive map of the threats we test for, model, and remediate. Mapped to OWASP LLM Top 10 and MITRE ATLAS.
Prompt Injection
Direct and indirect injection attacks that override system instructions or exfiltrate sensitive data.
Data Leakage
Sensitive training data, customer PII, or proprietary IP surfacing through model outputs.
Model Poisoning
Tainted training or fine-tuning data that compromises model behavior in subtle, hard-to-detect ways.
Agent Abuse
AI agents tricked into using their tools for unintended actions: rogue emails, unauthorized DB writes, data exfiltration.
Supply Chain Risks
Vulnerable third-party models, plugins, vector databases, and open-source components in your AI stack.
RAG Poisoning
Adversarial documents planted in your knowledge base to manipulate retrieval and steer answers.
Sensitive Information Disclosure
API keys, secrets, internal docs, and PII leaking through prompts, logs, or model responses.
Unauthorized Tool Usage
AI systems calling tools or APIs they should never reach, often via privilege escalation through prompts.
Industries We Secure
Regulated and high-stakes environments where AI safety is not optional.
Real Estate & PropTech
Secure AI lead qualification, tenant screening, and document automation against data leakage and impersonation.
Healthcare & MedTech
HIPAA-aware AI deployments. PHI protection, audit trails, and clinical-decision-support guardrails.
E-commerce & Retail
Customer-facing chatbots, recommendation engines, and copilots hardened against social engineering and abuse.
SaaS & Enterprise
Multi-tenant AI features, internal copilots, and AI-assisted workflows with proper isolation and RBAC.
Builders First. Auditors Second.
We secure AI systems the way we build them — pragmatically, in production, with the operators who run them every day.
We Ship AI in Production
Our team has shipped LLM agents, RAG pipelines, and AI products of our own — not just slides about them.
OWASP, NIST, ISO Aligned
Every audit is mapped to the OWASP LLM Top 10, NIST AI RMF, and (where relevant) ISO/IEC 42001 and the EU AI Act.
Embedded with Your Engineers
We work alongside your team, leave behind documentation, and re-test after remediation. No throw-it-over-the-wall reports.
Fast, Pragmatic Remediation
We do not just hand you a 200-page report. We can implement the fixes ourselves, with your stack and your timeline.
Regulated Industry Experience
Healthcare, financial services, real estate, and SaaS at enterprise scale — we have done the compliance work, not just read about it.
Continuous, Not One-Shot
Models change, prompts change, tools change. We set up monitoring and re-test cadences, not vanity-metric dashboards.
AI Security Engagements
Selected work. Names withheld under NDA — outcomes are real.
Real Estate AI Lead Qualification Security
Hardened a property-tech AI agent handling 50k+ monthly inbound leads against prompt-injection-driven data exfiltration.
Healthcare AI Compliance Program
Built an end-to-end AI governance framework aligned to HIPAA, NIST AI RMF, and ISO 42001 for a clinical AI vendor.
Enterprise AI Agent Protection
Red-teamed an internal copilot with CRM and email access. Closed 14 critical findings before GA launch.
Secure RAG Deployment
Designed and audited a RAG knowledge base with row-level access controls and poisoning detection for a fintech.
AI Security FAQ
Straight answers to the questions security leaders ask us first.
Request an AI Security Assessment
30 minutes. We scope your AI surface, name the top three risks, and tell you what an engagement would actually look like. No deck. No pressure.