AI Security Readiness
Can You Answer the AI Security Question Your Next Enterprise Deal Will Ask?
Enterprise buyers are starting to ask: "What's your AI security posture?" Most $5–50M SaaS companies don't have an answer. The attack surface is real — prompt injection that leaks other customers' data, context window manipulation that bypasses access controls, agent tool-call vulnerabilities, output that exposes PII. Most companies know this needs addressing. Nobody has done the assessment. The enterprise deal waits.
What We Find
Prompt Injection Testing
Systematic testing for prompt injection vulnerabilities — direct injection via user inputs, indirect injection via documents or tool outputs. Documented findings you can share with security-conscious prospects.
Data Leakage Vector Assessment
Can your AI surface expose one customer's data to another through the context window? Can it be manipulated into revealing training data or system prompts? Finding the vectors before adversarial users do.
Agent & Tool-Call Security Review
For agent-based systems: authorization boundary review, tool-call permission analysis, sandboxing assessment. Agentic systems have a fundamentally different attack surface than single-turn AI.
Security Hardening Implementation
Input validation and sanitization, output filtering and PII detection, sandboxed agent execution, audit trail implementation, rate limiting, security monitoring. Aligned with OWASP LLM Top 10.
What You Get
The diagnostic produces a customer-shareable AI security summary you can hand to enterprise prospects before they ask. Our AWS lead, Azmi Ahmad, has spent over a decade in AWS security architecture (IAM, KMS, WAF, VPC), so hardening goes deeper than application-layer config. We've also sat on the vendor side of enterprise security reviews in fintech and health tech — we know what's coming.
How to Start
Free 30-min Call
A walkthrough of the attack surface of a live agentic commerce system — what the security boundaries look like and where the gaps typically are.
AI Security Quickscan ($4K–$7K, 1–2 weeks)
Customer-shareable AI security summary + prioritized hardening roadmap. The document your enterprise prospects are asking for.
Hardening ($12K–$25K, 3–5 weeks)
Input validation, output filtering, agent sandboxing, audit trail, rate limiting, security monitoring. Production-grade AI security aligned with OWASP LLM Top 10.
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Ready to Talk AI?
30 minutes with a senior engineer. Honest take on your situation. No sales pitch.