Hire your AI security engineer
Audits, secrets, CVEs, vendor reviews — run by chat, not by one overdue spreadsheet.
Your AI Security Engineer runs the security hygiene that every small company knows they should have and never actually does. Code review for common vulnerabilities, secret rotation, CVE tracking, vendor security reviews, and the SOC 2 paperwork when you actually need it. Quietly keeps you out of the news.
What your AI Security Engineer does
Workflows on autopilot
Without vs With a AI Security Engineer
- —You know you should rotate API keys but haven't done it in 18 months
- —A CVE in your dependency graph gets patched three months after disclosure
- —Enterprise security questionnaires take a week and steal your weekend
- —You hire a fractional CISO at $8K/month for 10 hours of work
- —Your SOC 2 audit surprises you by asking for evidence you don't have
- ✓Rotation happens on cadence; you hear about it when a rotation needs your input
- ✓Critical + exploited CVEs get patched the same week, tracked to completion
- ✓Draft comes back in 48 hours with only the judgment questions flagged
- ✓AI security engineer runs the hygiene daily at a fraction of that cost
- ✓Policies, evidence, and control tests stay current continuously, not in the last month
A day in the life of your AI Security Engineer
Tools your AI Security Engineer uses
Frequently asked questions
Is an AI enough for security, or do I need a human CISO?
It depends on what you're defending. For most early-stage B2B SaaS under 20 people, the AI Security Engineer handles the 90% that is hygiene: secret rotation, CVE patching, code review for common vulnerabilities, vendor review, compliance paperwork. What it doesn't replace: threat modeling for novel architectures, incident response with legal and PR dimensions, and board-level security conversations for regulated industries. Most founders run the AI for daily hygiene and bring in a fractional CISO for quarterly threat reviews and any high-stakes moment.
Can it actually pass a SOC 2 audit?
It handles the evidence collection and policy maintenance that make SOC 2 tractable — vendor inventory, access reviews, change management logs, secrets rotation proof, training completion. Running through Vanta or Drata is the usual path; the AI Security Engineer lives inside that flow, keeps controls current, and prepares evidence packages. The audit itself is still run by a human auditor. What changes: instead of a 3-month panic to prepare, the evidence is continuously maintained and the audit is a low-stress formality. Most SkillBoss and Tycoon properties that pursue SOC 2 complete it in about 3 months end-to-end with the AI doing most of the work.
What about security scanning for AI-generated code?
Special care. LLM-generated code has known failure modes: hardcoded secrets left behind, overly broad IAM policies, unparameterized SQL, over-trusting user input. The AI Security Engineer runs a rule set tuned for these patterns on every PR, whether the author was human or AI. When the AI Backend Engineer or AI Frontend Engineer writes a hot path that touches auth, cryptography, or payment, the AI Security Engineer's review is required before merge. This creates a check-and-balance between agents that is often stricter than what junior humans would catch.
How does it handle incidents?
First-line triage within autonomy boundary: rotate the leaked credential, revoke the exposed session, disable the compromised integration. Simultaneously pages a human and opens an incident channel with the timeline so far. Pulls logs, correlates signals, drafts the initial customer communication for founder review. Does not make the public disclosure call or commit to remediation promises — those are human decisions. The goal is that by the time you're reading the incident, the immediate bleeding has stopped and you're making decisions about what to tell customers, not chasing the fire.
Does it handle penetration testing?
It prepares for and coordinates pen tests but does not replace one. What it does: writes the test scope based on your architecture, pre-tests with OWASP ZAP and Burp to catch low-hanging issues before the external team arrives, manages the findings and remediation timeline after the test, and feeds learnings back into the SAST rules for next time. A human pen test annually is still the right call for most B2B SaaS with significant customer data. The AI Security Engineer makes that test more productive by ensuring you don't waste the external team's time on issues you should have caught internally.
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