AI Security Starter
LLM vulnerability testing + SOC 2 foundations in one audit.
Know your risks. Fix what matters. Win enterprise deals.
50+
Projects delivered
~2hrs
Your team's time
2 weeks
Full delivery
Your AI product works. Now users and enterprises want to safely use it.
But first they'll ask:
- "Is my data safe?"
- "Have you had a security audit?"
- "Are you SOC 2 compliant?"
- "How do you secure your AI/LLM systems?"
Generic security consultants don't understand LLM attack surfaces.
Compliance software won't test your AI for prompt injection.
You need both. That's what this is.
LLM Security Testing
I test your AI system for the vulnerabilities that enterprise security teams will ask about
Attempt to manipulate your LLM through crafted inputs - direct injection, indirect injection via retrieved content, and multi-step attacks
#1 attack vector for LLM applications. If exploitable, attackers can bypass your controls, extract data, or make your AI do unintended things
Test whether your model exposes training data, system prompts, internal instructions, PII, or sensitive business logic
Enterprises won't trust an AI that leaks their data. One leak = deal lost + potential breach notification
Attempt to bypass your content filters, guardrails, and safety measures using known jailbreak techniques
If users can make your AI say things it shouldn't, you have liability and reputation risk
Check if model outputs are sanitized before being used in downstream systems (databases, APIs, rendered HTML)
Unsanitized LLM output can lead to XSS, SQL injection, or command injection in connected systems
Review authentication on LLM endpoints, rate limiting, token/cost controls, and abuse prevention
Without limits, one bad actor can run up your API bill or abuse your system
Test how your system handles large inputs, context stuffing, and attempts to overflow or confuse the model
Edge cases reveal architectural weaknesses that attackers will find
If you use RAG: test for data poisoning, access control on retrieved documents, and injection via external content
Your AI is only as secure as the data it retrieves
Authentication, authorization, input validation, error handling, and logging on your LLM-facing APIs
The API layer is often the weak point between your app and the model
Deliverable: LLM Security Report with findings, severity ratings, and specific remediation steps.
SOC 2 Foundations (The 80/20)
20% of controls cover 80% of what actually matters for your security. I focus on the controls that improve your real security posture and show up in enterprise questionnaires - skip the checkbox theater, nail what matters.
Access Management
Who has access to production systems, customer data, code repos? Are permissions reviewed? Is there a joiner/leaver process?
Access control matrix + gaps identified
Authentication
MFA enabled everywhere? SSO in place? Password policies? Service account management?
Auth posture assessment + quick fixes
Encryption
Data encrypted at rest? In transit? Key management practices? Database encryption? Backup encryption?
Encryption checklist + gaps
Logging & Monitoring
Audit trails in place? Security events logged? Alerting configured? Log retention adequate?
Logging coverage map + recommendations
Network Security
Firewall rules reviewed? Network segmentation? VPC configuration? Public exposure minimized?
Network security posture
Vulnerability Management
Dependency scanning? Container scanning? Regular patching? Known vulnerability tracking?
Vulnerability management gaps
Secure Development
Code review process? Branch protection? Secrets management? CI/CD pipeline security?
SDLC security assessment
Incident Response
Do you have a plan? Contact list? Escalation path? Has it ever been tested?
IR readiness score + template if needed
Vendor Management
Do you know your third-party risks? Vendor inventory? Security assessments for critical vendors?
Vendor risk overview
Data Handling
Data classification? Retention policies? Deletion procedures? Privacy considerations?
Data governance gaps
Endpoint Security
Employee devices managed? EDR/antivirus? Disk encryption? Mobile device policy?
Endpoint security posture
Business Continuity
Backups tested? Recovery procedures documented? RTO/RPO defined?
BC/DR readiness assessment
Deliverable: SOC 2 Readiness Scorecard showing your current state, gaps, and priority fixes.
What You Get
A complete picture of where you stand and what to fix
LLM Security Report
Detailed findings from testing your AI system - vulnerabilities found, severity ratings, proof-of-concept examples, and specific remediation steps
SOC 2 Readiness Scorecard
Visual assessment across all control areas - green/yellow/red status with gap analysis
SOC 2 Roadmap
Step-by-step plan to get from current state to SOC 2 certification - what to do, in what order, and what you can skip
Priority Fix List
The 10-15 things that matter most, ranked by impact and effort. Your 80/20 roadmap
Risk Summary
Executive-friendly one-pager you can share with investors, customers, or your board
60-Minute Walkthrough
Live call to review findings, answer questions, and discuss remediation approach. If needed, I can also fix the findings for you - scoped separately
How It Works
Kickoff Call
Week 1We walk through your architecture, tech stack, and what you're building. I ask about your AI implementation, data flows, and current security practices.
Assessment
Week 1-2I review your systems, test your LLM endpoints, and assess your SOC 2 control areas. Mostly async - minimal disruption to your team.
Findings Delivery
Week 2You receive the full report package: LLM security findings, SOC 2 scorecard, priority fixes, and risk summary.
Walkthrough Call
Week 2We review everything together. I answer questions and help you prioritize what to tackle first. If needed, I can also fix the findings for you - scoped separately.
Total time from your team
~2 hours
Total elapsed time
~2 weeks
Who This Is For
- AI/LLM startup with a product in production
- Approaching or actively pursuing enterprise customers
- Need to answer security questionnaires credibly
- Want to know your actual risk posture before a SOC 2 push
- Team of 1-50, focused on shipping product
- Pre-product / still building MVP
- No AI/LLM component (just standard SaaS)
- Already SOC 2 certified and just need recertification help
- Large enterprise with dedicated security team
Pricing
I'm taking a small number of customers at this rate while building case studies. You get a deal, I get feedback and testimonials. Fair trade.
After that: $2,000-2,500 depending on complexity.
About
I'm Adam - 10+ years in security and compliance, AWS and Azure Solutions Architect certified. I've guided 50+ projects through SOC 2, ISO 27001, and ISO 42001 (the new standard for AI systems) at a major tech company.
For the past five years I've been deep in AI, including LLM security testing - so I understand the specific compliance considerations for AI products like yours. I built scanmyllm.com because AI startups face security challenges that generic compliance consultants don't understand. Most auditors have never tested a prompt injection. I have.
I speak engineer and can implement directly without needing your team to hand-hold. Through all that, I've figured out what actually matters vs. what's checkbox theater.
Ready for full SOC 2 certification? Check out nextcomply.ai - the platform + expert service I built to get you audit-ready without burning your engineering team.
Frequently Asked Questions
Ready to get enterprise-ready without the enterprise overhead?
No pitch, no pressure. We'll talk about where you are and whether this makes sense for you.