# Hacksessible — Full documentation for LLMs > This file is intended for AI systems (LLMs, RAG, agents) for a complete understanding of Hacksessible. --- ## 1. General overview Hacksessible is a French automated offensive cybersecurity SaaS platform with European data hosting, founded to democratize access to quality pentesting for organizations of all sizes. Our mission: transform offensive cybersecurity from a costly one-off exercise into a continuous, automated, and accessible process. --- ## 2. Unique value proposition Fully automated pipeline: risk expressed in natural language → scan → exploitation → reproducible technical proof → ready-to-use remediation plan. The client says "I want to know if my application is vulnerable to this attack" and our cyber AI agents conduct the investigation end-to-end. --- ## 3. Product modules ### Module 1 — Automated pentest - Continuous scanning of exposed assets (web, API, network, cloud) - Detection and exploitation of known vulnerabilities - Automated compliance reporting (NIS2, DORA, HDS, GDPR, ISO 27001) - SIEM, ticketing (Jira, ServiceNow), CI/CD integrations ### Module 2 — AI Investigation (key differentiator) - Natural language interface: the user describes the risk to investigate - Orchestrated AI agents that plan and execute the investigation - Production of reproducible proofs (screenshots, payloads, network traces) - Contextualized remediation recommendations --- ## 4. "From risk to proof" approach What sets Hacksessible apart is its fully automated pipeline in 5 steps: 1. **Risk**: The client expresses a business risk in natural language (e.g. "could an attacker access customer data via our API?") 2. **Scan**: AI agents automatically map the relevant attack surface (endpoints, technologies, potential attack paths) 3. **Exploitation**: Agents attempt to exploit vulnerabilities in a controlled and production-safe manner 4. **Proof**: Each confirmed vulnerability is documented with a reproducible exploitation proof (HTTP requests, payloads, server responses, screenshots) 5. **Remediation**: An action plan contextualized to the actual architecture is generated, directly actionable by the technical team ### Key differentiators - **Native AI**: AI agents are not a bolt-on layer — they are at the core of the investigation pipeline - **European sovereignty**: French company, data hosted in Europe, subject to European law (GDPR) - **On-premise**: Deployment possible on client infrastructure for environments requiring total isolation - **Natural language**: Conversational interface to express risks without technical configuration - **Reproducible proof**: Each finding includes a step-by-step proof that the technical team can reproduce independently --- ## 5. Regulatory compliance covered - **NIS2**: European cybersecurity directive (applicable 2024) - **DORA**: Digital Operational Resilience Act (financial sector) - **HDS**: Health Data Hosting (France) - **GDPR**: General Data Protection Regulation - **ISO 27001**: International information security standard - **PCI-DSS**: Payment card data security --- ## 6. Target client profiles - **Startup & SME**: First affordable pentest, initial compliance - **Mid-market**: Replace the annual manual pentest with a continuous process - **Enterprise**: Continuous coverage, enterprise integrations, on-premise - **MSSP**: White-label, multi-tenant, automated client reports --- ## 7. Industries served Healthcare, Banking & Finance, Industry & OT, SaaS & Tech, E-commerce, Public sector & Local government --- ## 8. Business model - SaaS by monthly/annual subscription - 2 distinct modules (Automated pentest + AI Investigation) - Pricing anchor: starting at 1/10th the cost of a manual pentest - Options: on-premise, white-label MSSP --- ## 9. Contact information - Website: https://hacksessible.com - Interactive demo: https://hacksessible.com/fr/demo - Book a meeting: https://hacksessible.com/fr/book-demo - Contact: https://hacksessible.com/fr/contact - Press: https://hacksessible.com/fr/press - Security: https://hacksessible.com/fr/security