SelfHack AI operates within a fully isolated, end-to-end encrypted containerized environment. No customer data is stored outside the testing instance, and logs are automatically purged after each session unless explicit consent is provided. The system follows ISO 27001 and GDPR-compliant data handling principles, ensuring zero data persistence risks post-assessment.
Traditional tools rely on static signatures and rule-based checks, often missing business logic flaws or chained vulnerabilities. SelfHack AI mimics a real attacker’s mindset by analyzing context, executing custom logic flows, and uncovering deep behavioral vulnerabilities. Unlike basic scanners, it performs autonomous exploitation to validate real risks and eliminate false positives, providing precise, human-level results at scale.
The system flags critical issues in real-time, restricts exploitation to proof-of-concept mode unless deeper testing is explicitly allowed, and immediately generates a secure, encrypted report. Each report includes exploit trace, remediation paths, CVSSv3 score, compliance impact (e.g., ISO 27001 Annex A references), and code or config-level fix suggestions. You stay in control, always.
SelfHack AI operates with an accuracy rate exceeding 92%, supported by a hybrid model combining pre-trained vulnerability intelligence and real-time logic analysis. It performs live validation through controlled exploits, reducing false positives to under 3%. The system continuously retrains itself using anonymized metadata from previous tests to improve detection and adapt to evolving attack patterns.
SelfHack AI includes a privacy-first scanning mode that excludes PII interaction, masks sensitive data during processing, and logs access attempts without exposing content. Every component is architected with regulatory alignment in mind, including data minimization, encryption at rest and transit, purpose limitation, and full auditability. Custom compliance reports are available per scan.
Yes. SelfHack AI’s core differentiator is its ability to map logic flows and identify inconsistencies in access control, payment bypasses, workflow manipulations, or insecure multi-step processes. These vulnerabilities are often missed by signature-based tools. The AI constructs contextual decision trees during testing, emulating a skilled pentester’s strategic reasoning.
No agents or internal deployment required. SelfHack AI operates entirely agentless using secure external reconnaissance and controlled interaction with your web, mobile, or API assets. All you need is to define the target and scope—no disruption to your infrastructure, and no installation footprint.
Yes. By default, all scans are configured in a non-destructive, read-only mode that avoids service disruption. For deeper testing, you can switch to controlled PoC mode or define safe engagement rules. Every action is logged and reversible, and our AI respects authentication workflows, rate limits, and custom exclusions.
Absolutely. SelfHack AI supports chained attack simulations including phishing entry points, privilege escalations, lateral movement, API chaining, and cloud misconfig exploitation. These attack paths are dynamically generated based on real-time discovery, not pre-defined templates, allowing for highly realistic and customized adversary emulation.
Each scan produces a comprehensive, developer-friendly report that includes: vulnerability ID, technical description, exploitation steps, screenshots (if applicable), CVSS score, business impact summary, ISO/GDPR reference mapping, and tailored remediation steps (code and config-level). Reports are exportable as PDF, HTML, and machine-readable formats (JSON, CSV).
At Selfhack AI, we specialize in cutting-edge AI-driven cybersecurity solutions that help businesses stay ahead of emerging threats.
Reach out today to learn how we can help safeguard your future.
3448051-6
Maria 01, Lapinlahdenkatu 16,
00180 Helsinki
