Whether your deal is stalling on a security review, your AI product needs real security built in from day one, or your architecture is missing what enterprise buyers actually need — I help you find the right problem and fix it. 20 years in security. Built and reviewed AI systems on both sides of the table.
→ Deal stalling? Start with Get Reviewed.
→ Building or validating? Start with Discover.
Your deal is stalling. A big enterprise prospect sent a vendor security questionnaire, asked for SOC 2 or ISO evidence, and wants to know how your AI models are governed. The deal goes quiet. This is fixable, faster than you think, and it's the obvious reason founders call me.
The review isn't what's killing the deal. The product is. Some AI startups fail procurement not because they're insecure — but because their architecture assumes something enterprises don't allow: data leaving the network, third-party model access, no on-premise option. Others are technically secure but solving the wrong problem for the market they're targeting. I've been in the room when both happened. Fixing the wrong thing first is how deals die slowly.
Before you fix your security posture, make sure you're building the right product for the right market. I bring 20 years of enterprise-side experience to your product review.
I review your product architecture, data flows, and go-to-market assumptions against what enterprise buyers actually need — not what they say they need. You'll find out fast if your technical design matches your target buyer's real requirements.
If you're a cybersecurity or AI-security startup, I help you validate your product roadmap against real market gaps. I've evaluated dozens of security products from the enterprise buyer side. I know what the market is missing and where it's already crowded.
Security built in from the start costs a fraction of security bolted on later. These services are for teams that want to get it right before the review — not scramble before it.
Design review and hardening of AI/ML systems against real attack surfaces — adversarial inputs, model extraction, data poisoning, prompt injection, and inference attacks. I work with your team to build defensible architecture that holds up under enterprise scrutiny.
Most secure development lifecycles were built for traditional software. AI products have different risks — training data integrity, model supply chain, deployment boundaries. I help you revise or build an SDL that actually covers AI-specific threats.
Structured threat modelling for AI systems using established frameworks (STRIDE, PASTA) extended for AI-specific attack vectors: adversarial ML, data and model poisoning, evasion attacks, membership inference. Output: a practical threat model your team can act on.
I help your security or engineering team implement AI-assisted vulnerability hunting and code remediation workflows — faster discovery, smarter prioritization, AI-assisted fix suggestions. Process and knowledge transfer: how to make your team's hunting significantly more effective using current AI tooling and frameworks including PyRIT.
Privacy Impact Assessments, Privacy by Design implementation in AI products, data minimization, anonymization and pseudonymization strategies, and regulatory mapping (GDPR, PIPEDA, CPRA, China PIPL). For AI products specifically: training data governance, data subject rights in ML pipelines, and lawful basis for model training.
Your deal is in motion. The security review is the blocker. These services are scoped to move fast.
A fixed-scope review of where you stand against what enterprise buyers actually check — security questionnaires, SOC 2 / ISO expectations, data protection, and AI governance (EU AI Act, ISO 42001, NIST AI RMF). You get a clear gap report and a prioritized remediation roadmap.
Help closing the gaps that matter most — policies, controls, evidence packages, and the specific answers reviewers want to see before they approve. We work through the critical path first so your deal keeps moving.
Ongoing support through a live deal or your first enterprise reviews. I act as your part-time security and privacy lead — attending calls with enterprise security teams, reviewing questionnaire responses, and keeping the review from stalling. No full-time hire needed.
These are the real categories that appear in enterprise vendor security reviews — the ones that stall deals when you can't answer them with confidence.
You might be building your first enterprise-grade product and want to get it right from day one. You might have a deal in progress and need to move fast. Or you might be asking whether your product is actually solving the right problem for the enterprise market.
All three are the right time to call.
One thing that hasn't changed: I work with software companies only — not industrial or operational-technology environments. If an enterprise's security team is standing between you and a signature, or if you want to make sure they never will be, that's where I help.
I know what enterprise buyers are really looking for — because I was one of them for years.
Find out what problem you're actually solving. Is your product architecture right for your target market? Are you solving the right security problem?
starting pointBuild security in — not on. Secure architecture, threat modelling, SDL, privacy engineering. Before any reviewer looks at your product.
in progressMap your gaps against what enterprise buyers check. Security questionnaires, AI governance, data protection. Clear prioritized roadmap, fast.
under reviewFix the critical gaps. Pass the review. Close the deal. Remediation, evidence packages, fractional support through the finish line.
clearedWhether you're in an active enterprise deal, building your product and want to get security right from day one, or trying to figure out if your product is solving the right problem — a 30-minute call will tell us both whether I can help. If I can, I'll tell you how. If I can't, I'll point you to someone who can.