One intelligent security loop for continuous improvement.
Connected agents unify your security data, add context, prioritize risk and coordinate action across your existing tools and teams.
Connected agents unify your security data, add context, prioritize risk and coordinate action across your existing tools and teams.
Gain a clear, real-time view of security posture. Track risk trends, communicate impact, and confidently guide security strategy across the organization.
Focus on the risks that matter most. Understand why they matter, investigate faster, and reduce noise across daily security operations.
Move from insight to execution. Receive precise remediation guidance, work within existing tools, and track progress as risk is reduced.
Discern’s AI agents continuously understand risk, align it to your goals, and help close gaps. Each agent owns a step in the workflow, so your team moves faster with less manual effort.
Atlas turns plain-English questions into security dashboards, charts, and reusable queries. It helps teams create consistent executive and operational reporting in minutes instead of days.
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Oracle turns posture and exposure data into clear, defensible insight by explaining what changed, why it matters, and what to do next. It helps analysts and leaders move from raw findings to trusted narratives, faster decisions, and more actionable follow-up.
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Pathfinder turns overwhelming lists of vulnerabilities, misconfigurations, and risky assets into a clear, prioritized remediation plan. It helps teams focus on the fixes that reduce the most risk first, using business context, exposure, and explainable rationale.
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Resolve turns prioritized findings into tracked remediation actions with the right guardrails, approvals, and accountability. It helps security teams move faster from detection to fix by coordinating tickets, owners, and approved response actions across their existing tools.
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Mesh helps security teams align policies, priorities, and coverage across tools so the program works as a unified whole. It turns fragmented findings into cross-stack strategy by showing what to standardize, what to tune, and what to improve next.
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