AI-Driven Penetration Testing, Built for the Enterprise
Continuous, AI-orchestrated security testing that finds real vulnerabilities across your web apps, APIs, and cloud infrastructure — with deterministic exploit verification and human oversight where it matters most.
Features
Continuous, Multi-Tenant Security Testing
Run automated penetration tests against web applications, REST/GraphQL APIs, mobile apps, network infrastructure, and cloud environments — all from one platform, isolated per organization with database-level Row-Level Security.
AI Agent Pipeline, Not a Single Scanner
A coordinated pipeline of specialized AI agents — Recon, Vulnerability, Exploit, Threat Intelligence, Analysis, Remediation, Compliance, and Reporting — work through a 22-phase testing methodology covering the OWASP Top 10, authentication and session flaws, SSRF, IDOR, deserialization, race conditions, subdomain takeover, and more.
Deterministic Exploit Verification
Findings aren't just AI opinions. Where possible, proof-of-concepts are independently reproduced multiple times before a finding is marked verified — reducing false positives instead of flooding your team with noise.
Real Threat Intelligence, Automatically Applied
Every relevant CVE is enriched in the same pass with CISA Known Exploited Vulnerabilities (KEV) status and EPSS exploit-probability scoring, so your team sees which issues are being actively exploited in the wild — not just which ones have the highest CVSS number.
Your Data Stays Yours
Vulnerability data is processed by locally-hosted AI models by default — nothing about your findings, targets, or scan results is required to leave your infrastructure. Cloud AI (for polished executive report narratives only) is optional, off by default, and only ever runs on sanitized data with URLs, payloads, and identifying details stripped out first.
Human-in-the-Loop Where It Counts
Before any aggressive testing action runs against a production target, the platform pauses and routes the decision to a human reviewer. Your team stays in control of what gets tested and when — this isn't a black box making unsupervised decisions against your production systems.
Live Risk Dashboard
A single view of your organization's real-time security posture: risk score, open findings by severity, remediation velocity (MTTR/MTTA), an application-type × severity risk heatmap, your most recent scans, and the latest CVEs affecting your environment.
Compliance Mapping Built In
Findings are automatically mapped to the frameworks you're accountable to — PCI DSS v4, SOC 2 Type II, ISO 27001:2022, HIPAA, GDPR, DORA, NIS2, and FedRAMP — so a scan result becomes audit evidence, not just a ticket.
Fits Your Existing Workflow
Native integrations with Jira, Slack, Microsoft Teams, GitHub, GitLab, ServiceNow, and PagerDuty push findings directly into the tools your engineering and security teams already use. GRC platform integrations (Vanta, Drata, Secureframe) keep your compliance posture in sync automatically.
How It Works — The Testing Workflow
Why this matters: vulnerability discovery and exploit confirmation aren't the same step. Testing happens in parallel where it's safe to do so (vulnerability scanning and threat intelligence run side by side), converges for exploit verification, and — critically — pauses for a human decision before any aggressive action touches a production target. Analysis, remediation guidance, and compliance mapping happen after triage, so what reaches your team is prioritized, not raw.
The amber gate marks the human-in-the-loop checkpoint before aggressive testing runs against production.
Product Walkthrough
Add Your Target
Register a web application, API, or infrastructure target — or let the platform's asset discovery module enumerate your attack surface automatically from a root domain, surfacing subdomains you may not know are live.
Launch a Scan
Describe what you want tested in plain language, or select a methodology (OWASP, PTES, NIST 800-115, or a compliance-driven framework like DORA/TIBER-EU). Choose the environment — staging or production — and the platform enforces the right safety guardrails automatically.
Watch the AI Agents Work
Track the scan live: which phase is running, what the agent is currently doing, and findings as they're discovered — all streamed in real time, not delivered as a single report at the end.
Review and Verify
Every finding includes full risk-logic transparency: the CVSS score, business-context weighting, exploitability signals (including CISA KEV and EPSS), and the exact formula used to calculate its final priority. If a proof-of-concept was reproduced, you'll see how many times and with what confidence.
Remediate, Track, and Prove It
Assign findings, track time-to-resolution against SLA targets, and let the platform auto-trigger a retest the moment a finding is marked resolved — closing the loop without a manual follow-up scan.
Report and Export
Generate a full compliance-mapped report, or push findings directly into Jira/ServiceNow/Slack. Export an evidence package for auditors in one step.
See It in Action
How We Compare
We built this platform to be honest about what AI can and can't do yet in offensive security — because over-claiming "fully autonomous pentesting" is the fastest way to lose enterprise trust. Here's how the categories compare:
| Capability | Lotus PTaaS | Traditional Manual Pentest Firms | Legacy Automated Scanners (DAST/SAST) |
|---|---|---|---|
| Testing Cadence | Continuous, full-methodology | Point-in-time (annual/quarterly) | Continuous, but shallow |
| Coverage Depth | Broad + AI-driven exploit chaining | Deep, but limited by tester hours | Broad, but high false-positive rate |
| False Positives | Reduced via deterministic PoC reproduction | Low (human-verified) | High |
| Threat Intel Context (KEV/EPSS) | Built into every finding automatically | Rarely built in | Rarely built in |
| Compliance Mapping | Automatic — PCI DSS, SOC 2, ISO 27001, HIPAA, GDPR, DORA, NIS2, FedRAMP | Manual, after the fact | Rarely built in |
| Turnaround Time | Hours, high-value | Weeks | Minutes, low-value |
| Data Residency | Vulnerability data stays local by default; cloud AI is optional, sanitized, off by default | Findings shared with vendor | Varies |
| Human Oversight on Risky Actions | Human-in-the-loop gate before aggressive production testing | Full (all human) | None |
| Cost Model | Continuous coverage at a fraction of manual-pentest cost | High cost per engagement | Low cost, low signal |
We deliberately don't claim to fully replace expert human pentesters for creative, novel attack-chain discovery — today's AI models still perform meaningfully worse on real-world zero-day exploitation than on textbook CVEs. Our platform is built to close the gap where AI genuinely excels (continuous breadth, the recurring 95% of vulnerability classes, tireless re-testing) while routing genuinely hard or high-risk decisions to a human.
Ready to See PTaaS in Action?
Schedule a personalized walkthrough with our team and discover how continuous, AI-driven penetration testing can strengthen your security posture.
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