Technical articles, offensive security methodologies, AI-driven cyber operations and emerging threat analysis.
A data-driven comparison of BackBox AI against Aikido Security and XBOW on the Photoview application, using Doyensec's independent severity review as a common yardstick. The focus is signal over noise: matching the serious-vulnerability coverage of a higher-volume competitor with far fewer low-value findings.
ReadComparative security benchmark between BackBox AI and Neo (ProjectDiscovery) on the MedPortal application, focusing on vulnerability coverage, false positive validation, and attack chain analysis
ReadHow BackBox AI leveraged multimodal visual capabilities to analyze PCB production files and autonomously identify hidden anomalies in the Hack The Box Critical Flight scenario
ReadHow BackBox AI autonomously exploited a hard Hack The Box machine by chaining real-world CVEs without human intervention
ReadA detailed analysis of how BackBox AI autonomously compromised a vulnerable SOAP service by exploiting XXE and default credentials in the XBOW Validation Benchmark.
ReadHow BackBox Labs applies an adversary-driven Threat Led Penetration Testing (TLPT) methodology that combines threat intelligence, AI-powered attack surface discovery, and human expertise to measure real operational resilience.
ReadA controlled demonstration of BackBox AI operating in an OT/ICS environment, interpreting industrial systems and safely interfacing with PLCs in a virtual lab setting.
ReadA detailed technical analysis of how BackBox AI successfully exploited a complex PHP deserialization vulnerability in PortSwigger Web Security Academy's expert-level lab, developing a custom gadget chain for remote code execution.
ReadExplore how AI is transforming cybersecurity with BackBox AI's platform enabling both offensive and defensive intelligence operations.
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