Chart VS Penetrify.cloud

Penetrify.cloud's answer:

Most tools scan - they flag patterns that might be vulnerable. Penetrify exploits: an autonomous AI agent actually attacks the application, chains weaknesses into multi-step attack paths, and proves real impact, the way a human pentester would. It does this from just a URL, with no operator or security expertise needed, and runs continuously on every deploy through your CI/CD pipeline. The result is penetration-test depth - including authorization, IDOR, and business-logic flaws that scanners miss - delivered as an always-on SaaS instead of a once-a-year engagement.

Penetrify.cloud's answer:

• vs. manual penetration testing: results in minutes instead of 1–3 weeks, from $100/month instead of $10,000–$50,000 per engagement, and continuous on every release instead of once or twice a year.
• vs. DAST scanners (Burp Suite, Acunetix, OWASP ZAP): Penetrify exploits and chains vulnerabilities rather than only detecting known signatures, so it catches broken access control, IDOR, SSRF, and business-logic flaws those tools typically miss - and it's fully autonomous, requiring no manual operator.
• vs. other AI security tools: true end-to-end autonomy (URL in, exploit-proven report out), native CI/CD integration, and developer-focused reports with reproduction steps and remediation.

Penetrify.cloud's answer:

Development teams, startups, founders, and SMBs - fast-shipping teams that need continuous security coverage but don't have the budget for repeated manual pentests or an in-house offensive-security specialist. Also DevSecOps engineers who want a real penetration test wired into the build pipeline rather than a periodic audit.

Penetrify.cloud's answer:

Penetrify was founded in 2025 in Brno, Czech Republic, by Viktor Bulanek (MSc IT Security, 20+ years in security, four-time CTO). After years building and securing production systems, he kept seeing the same gap: startups were priced out of $10k–$50k manual pentests and stuck with once-a-year testing that couldn't keep up with weekly deploys. So the team built an autonomous AI agent that runs the same methodology a senior security engineer would - continuously, and at a price a side project can justify. Penetrify is operated by Algofy s.r.o.

Penetrify.cloud's answer:

Penetrify runs on AWS serverless infrastructure (Lambda, containerized agents, S3, CloudFront). The autonomous testing agents are powered by frontier large language models, including Anthropic's Claude. The backend is a Python/FastAPI API; the web app is built with React and TypeScript.

Penetrify.cloud's answer:

As a security vendor we keep our customer list confidential - clients generally prefer not to publicize who runs their penetration testing. Penetrify is used primarily by startups, SaaS companies, and software development teams that ship frequently and need continuous security coverage.