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Sign up free →A uses AI to continuously break into its own customers' systems to find real attack paths and fix them before actual hackers get the chance. In one early proof-of-concept, A turned up 1.2 million sensitive customer records, including Social Security numbers, that had been sitting exposed for seven years, undetected by the customer's own team and existing tooling.
Traditional mock cyberattacks cost about $30,000 and took two weeks. A runs the full cyber offensive lifecycle autonomously instead of flagging risk hotspots or handing companies a severity score. Current customers are all enterprises in finance, healthcare, critical infrastructure, and technology.
The continuous threat exposure management market was estimated at $2.7 billion in 2025 and is projected to reach $7 billion by 2033. A's competitors include well-funded AI-native players like XBOW, which raised $120 million at a $1 billion-plus valuation in March.
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