The company is building an AI-native platform for application security and governance, risk, and compliance — categories that have historically suffered from poor automation, fragmented tooling, and low developer adoption. The product equips every security role in the enterprise with task-specific AI agents that retain organizational knowledge, automate the repetitive triage and reporting work that consumes most of a practitioner's day, and surface actionable remediation rather than another dashboard of unprioritized findings. The initial wedge is vulnerability analysis: state-of-the-art code review, cross-language root cause analysis, and remediation guidance that ships fixes back into the developer's existing workflow rather than asking them to context-switch into a separate console. Longer-term, the architecture extends across AppSec, GRC, and cloud security as a unified intelligence layer that bridges the siloed teams responsible for each — closing the visibility and accountability gaps that emerge when compliance, application security, and cloud operations each operate on their own data and tooling. Integration into the systems developers and security engineers already use (Jira, Slack, IDEs, code repositories) is treated as a first-class design constraint rather than a roadmap item, and the company's bet is that this workflow-native posture is what separates platforms that get adopted from platforms that get bought and shelved.

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