
"XBOW uses AI reasoning and adversarial workflows to continuously test applications for security flaws. Unlike traditional point-in-time penetration testing, the platform operates autonomously to identify and validate vulnerabilities at machine speed, aiming to keep pace with both modern development cycles and AI-powered attackers."
"The XBOW platform is designed to execute targeted attacks autonomously, allowing security teams to explore deeper attack paths than traditional testing typically allows. Every potential finding is independently validated through real exploitation, providing teams with clear, reproducible proof and eliminating theoretical risks and scanner noise."
"The system aims to work alongside security experts by automating exploration and validation, freeing them to focus on investigation, judgment, and remediation."
XBOW, an autonomous offensive security company, secured $120 million in Series C funding, achieving a valuation exceeding $1 billion. Led by DFJ Growth and Northzone with participation from major investors including Sofina and Sequoia Capital, this brings total funding to $237 million. The AI-powered platform autonomously discovers and validates software vulnerabilities through continuous testing and adversarial workflows, operating faster than traditional penetration testing. Unlike point-in-time assessments, XBOW executes targeted attacks autonomously, validates findings through real exploitation, and eliminates theoretical risks. Founded by Oege de Moor, creator of GitHub Copilot, the platform works alongside security experts by automating exploration and validation while freeing teams to focus on investigation and remediation.
#ai-powered-security #vulnerability-detection #autonomous-penetration-testing #series-c-funding #cybersecurity-innovation
Read at SecurityWeek
Unable to calculate read time
Collection
[
|
...
]