AI-Driven Vulnerability Management Platform
Predictive Threat Intelligence
AI continuously ingests real-time threat feeds to identify zero-days, active exploits, and indicators of compromise, prioritizing vulnerabilities attackers are most likely to use.
Attack Path Analysis
Visualizes attack paths and lateral movement across assets, revealing how threats propagate and which systems are most at risk, so containment and patching are precise and fast
Unified Attack Surface Visibility
Gain complete visibility across cloud, on-prem, endpoints, and IT/OT/IoT environments. Scani5 continuously assesses exposure and risk to reduce your attack surface at scale.
Continuous Active Scanning
Maintains real-time awareness of assets, configurations, and exposure as environments evolve—ensuring risks are identified early and never missed
Contextual Risk Scoring
Aligns technical findings with business impact, asset importance, and exposure context, so remediation priorities reflect real-world risk, not static severity
Awareness-Based Risk Signals
Incorporates public exposure and threat awareness to surface vulnerabilities gaining traction, helping teams act before issues become widely exploited
Threat-Aware Prioritization
Continuously adapts prioritization as new exploits, attack techniques, and threat signals emerge, keeping remediation decisions current and relevant
Attack-Aware Remediation Planning
Provides clarity on how risks propagate across environments, enabling focused remediation that limits blast radius and prevents lateral movement
Enterprise-Wide Risk Visibility
Delivers a unified view of exposure across cloud, on-prem, and extended environments, supporting consistent risk management at scale
Reduction in Vulnerability Noise
Faster Patch Prioritization
Shorter Time from Detection to Patch
Deploy structured security workflows, gain clear visibility, and support audits without months of setup or tool sprawl