Automated Penetration Testing — AI-Orchestrated, Under 2 Hours

What is automated penetration testing?

Automated penetration testing uses scanners and orchestration software to find vulnerabilities in a target system — without a full-time human pentester driving every keystroke. Done well, it replicates the discovery and exploitation steps a senior pentester would run, dropping the manual time from weeks to hours. Done badly, it floods the security backlog with 200 medium-severity scanner findings, none of which have been validated, and gets the report dismissed by the engineering team. Bachao.AI is built for the first case. The AI agent runs five phases — planning (recognises your stack and the regulatory frameworks that apply), scanning (orchestrates Nuclei, ZAP, Nmap, Burp Suite, and proprietary signatures in parallel), validation (re-tests every finding with a second AI pass to drop false positives), triage (CVSS v3.1 scoring + DPDP / RBI / SEBI / OWASP mapping), and translation (remediation written in your stack's language — Node, Python, Go, Java, .NET, PHP, Rails).

How does AI-orchestrated automated pentesting work?

The AI agent treats every engagement as a planning problem first, not a scanning problem. It starts by recognising your target — what framework (Next.js, Django, FastAPI, Rails, .NET, etc.), what auth pattern (OAuth, SAML, JWT, session cookies), what hosting (AWS, GCP, Azure, on-prem), what regulatory frameworks apply (DPDP, RBI, SEBI, CERT-In, PCI-DSS, ISO 27001). From there it sequences the scan: which Nuclei templates to run first, which ZAP active checks, which Nmap depth, which custom signatures. Validation runs in parallel — a second AI pass re-tests each finding to drop false positives. Triage assigns CVSS, maps to compliance frameworks, and orders by exploitability. Translation writes remediation steps in your stack's language. The whole pipeline is observable from your dashboard.

What is the false-positive rate?

Under 3% on validated findings. The validation phase is what makes the difference — a raw Nuclei + ZAP + Nmap output typically runs at 30-50% false positive rate, which is what makes generic automated pentests unusable. Bachao.AI's AI agent re-tests every finding against your live target before it lands in the report. The trade-off: scans take ~2 hours instead of 20 minutes, but the report is something your engineering team will actually read.

Does an automated pentest replace a manual pentest?

For 80-90% of Indian SMB and SaaS engagements — yes. The AI agent covers OWASP Top 10 web, OWASP API Top 10, SSL/TLS, DNS, subdomain enumeration, port and service scans, infrastructure misconfig, and most business-logic checks. It does not yet replace a senior human pentester for adversary-emulation engagements (Red Team / BAS / persistent multi-stage attacks), high-stakes financial-system reviews requiring deep manual reasoning, or hardware / IoT / OT engagements requiring physical access. For those, Bachao.AI offers a separate Red Team / BAS engagement at /red-team. For the common case — a startup or SMB needing a CERT-In aligned VAPT for procurement, audit, or DPDP-readiness — the AI agent is the right tool.

What is included in the automated pentest report?

The deliverable is a CERT-In aligned PDF + JSON. The PDF includes:

• Executive summary with overall risk posture and trend (if re-test)
• All findings with CVSS v3.1 scoring, severity, exploitability rating
• Mapping to DPDP Act 2023 Schedule I, RBI IT Framework, SEBI CSCRF, OWASP Top 10 / API Top 10, ISO 27001 Annex A
• Reproduction steps for every finding
• Remediation guidance written in your stack's language (Node, Python, Go, Java, .NET, PHP, Rails)
• Retesting status (if running a re-test cycle)
• Auditor-ready appendix: methodology, tooling, scope, dates, attestation

What does an automated pentest cost?

First scan is free. From there each engagement is priced by scope on a 30-minute call — number of targets, depth, retesting cycles, compliance frameworks to map, urgency. For an Indian SMB or SaaS startup running 1-2 VAPT cycles a year, total spend is typically 40-60% lower than legacy Indian VAPT firms (Astra, CyberNX, SecureLayer7, Kratikal, Progressive) and not directly comparable to per-target annual subscriptions from Intruder or Detectify. No subscription, no lock-in, no enterprise gating on baseline features.