We restricted API access for build identities as a security improvement but failed to provide an early notice for customers that relied upon this for various automations. We're rolling it back temporarily. The restriction will be re-enforced on April 15, 2026.
HackerOne does not train generative AI models, internally or through third-party providers, on researcher submissions or customer confidential data. Neither, she continued, are researcher submissions used to "train, fine-tune, or otherwise improve generative AI models." And third-party model providers are not permitted to "retain or use researcher or customer data for their own model training." Sprague assured researchers: "You are not inputs to our models... Hai is designed to complement your work, not replace it."
Integrating security and asset data from over 200 connectors, the platform unifies business context and AI-based intelligence into a single pane, offering visibility and enabling risk prioritization and reduction. Nucleus relies on automation to enhance customers' vulnerability management programs. It correlates flaws with real-world threat data from multiple sources, normalizes it, maps assets to specific teams, and uses workflows for faster remediation. According to Nucleus, its vendor-agnostic approach covers exposure across tools, users, environments, and business units, unifies context, and enables coordinated action.
