Digital Risk Protection for teams that must prove control. We convert fragmented external signals into defensible evidence, clear priorities, and audit-ready outcomes.
Deliver governance-grade clarity across the external attack surface. Ryvlar aligns surface, breach, chatter, and brand signals into a single, explainable picture of risk—so security, risk, and audit agree on what matters and why.
Evidence over spin. We earn trust with accuracy, not adjectives.
Reduce real risk, shorten time-to-decision, and prove it in metrics.
Privacy, least privilege, auditability, and explainability are built-in—not bolted on.
Reliability and performance are product features. We measure both continuously.
Real-time detection with ruthless noise reduction. Explainable signals that stand up to review.
Role-based access, privacy by default, change tracking, and reviewable decisions.
Surface, breach, chatter, and brand signals chained to assets, owners, and business context.
Clear narratives, evidence trails, and integrations for review boards and regulators.

Co-Founder
Cybersecurity Specialist focused on AI vulnerability research. GovTech Singapore GBBP14 Hall of Fame; former Top-100 on HackTheBox; published on model leakage & sensitive-data exfiltration.

Co-Founder
PhD in Computer Science with 15+ years across industry, academia, and research. Advisor to enterprises; active work in edge computing, deep learning, and optimization.
We’re pre-launch and partnering with a small set of teams to validate controls, harden workflows, and prove measurable risk reduction.