Generic AI can't safely run offensive security: it refuses risky tasks, can't truly scan, and handing it your data invites misuse. CyberMindr's purpose-built scanner is engineered with proper guardrails.
Safety filters block real exploitation, so raw LLMs can't validate an attack path.
They reason and hallucinate findings, no controlled tests, no proof.
Feeding assets and findings to third-party models invites leakage and misuse.
Safety filters block real exploitation, so raw LLMs can't validate an attack path.
Every finding confirmed with proof-of-exploit, no hallucinations, near-zero false positives.
Isolated environment, never used to train models, external-only, ISO 27001 certified.
Give us a domain name. Our AI works like an elite red team, discovering, attributing, safely attacking, validating, reporting and guiding remediation, 100% automated.
40+ OSINT sources, a global bot network, and deep & dark-web scans find assets and leaked credentials.
ML maps every discovered asset to the right organization; our forecast engine reveals what OSINT never found.
17,500+ attack scripts simulate real-world scenarios, simple to complex, updated from hacker communities.
Trained algorithms rank the most vulnerable assets by real-world exploitability and business impact.
Board-ready output via API, web, PDF and XLS, plus conversational access through Claude MCP.
Actionable, prioritized fixes with continuous monitoring to confirm the exposure is truly closed.
Intelligence at every step
Automated
False positive
Attack & validation scripts
