Fairy for Security.
AI assessed it. Fairy makes sure nothing slipped through.
Threat modeling, auth flows, dependency risk, and OWASP coverage — reviewed by a senior security engineer who finds what automated tools miss.
The problem
Automated tools find known vulnerabilities. Experts find everything else.
AI security tools are good at pattern matching: known CVEs, OWASP Top 10 signatures, dependency vulnerabilities with published scores. They are poor at business logic flaws, authorization gaps that require understanding intent, and attack chains that span multiple components.
The vulnerabilities that lead to breaches are usually not the ones scanners find. Fairy puts a senior security engineer on the assessment — the one who knows what to look for beyond the checklist.
What we verify
- Threat model completeness and attack surface coverage
- Authentication and authorization flow correctness
- OWASP Top 10 and CWE Top 25 coverage
- Dependency vulnerability and supply chain risk
- Cryptography implementation and key management
- Secrets management and credential exposure
- Business logic vulnerability identification
- API security (rate limiting, input validation, output encoding)
- Cloud infrastructure security configuration
- Incident response and detection capability
What’s at risk
Security gaps are silent until they’re not.
Data breach
An undetected auth flaw or injection vulnerability exposes customer data — triggering breach notification obligations and regulatory investigation.
Compliance failure
A security gap discovered in a SOC 2 or PCI-DSS audit blocks certification and triggers remediation that delays enterprise sales.
Privilege escalation
A business logic vulnerability allows a low-privilege user to access admin functionality — often invisible to automated scanners.
Supply chain compromise
An unreviewed dependency introduces a backdoor or vulnerability that automated tools with stale signatures don't catch.
FAQ
Common questions.
What does Fairy verify in AI security assessments?
Fairy verifies threat model completeness (attack surfaces AI tools commonly miss), authentication and authorization flow correctness, dependency vulnerability coverage, cryptography implementation, secrets management, network security controls, and whether the overall security posture matches the system's actual risk profile.
Can AI tools miss security vulnerabilities?
Yes — systematically. AI security tools excel at known vulnerability patterns (OWASP Top 10, CVEs in dependency manifests) but routinely miss business logic vulnerabilities, authorization flaws that require understanding the application's intent, novel attack chains that combine multiple low-severity issues, and infrastructure-level risks that aren't visible in source code alone.
What security domains does Fairy cover?
Fairy covers application security (web, mobile, API), cloud infrastructure security (AWS, GCP, Azure), network security architecture, cryptography and key management, identity and access management, and secure development lifecycle. Each submission is matched to a senior security engineer with relevant domain expertise.
How is security review data handled?
Security review materials are handled with the highest confidentiality tier. Reviewers access only what is necessary. NDA execution is available before review begins. Materials are never retained beyond the review period and are never used for training or shared with third parties.
Does Fairy offer penetration testing?
Fairy offers security review and verification — evaluating AI-generated security assessments and code for vulnerabilities. Active penetration testing (authorized exploitation) is available through our senior security Fairies as a separate engagement.