Vulnerability scanners tell you what's wrong. SentinelRisk tells you what's actually dangerous in your environment — with dynamic risk scoring that updates continuously, remediation tracking that proves what worked, and AI that learns your infrastructure's unique risk profile.
Risk Scoring
Remediation Learning
Reasoning Transparency
Static CVSS-Only Decisions
Capabilities
SentinelRisk doesn't generate another list of CVEs to triage. It understands which risks are actually exploitable in your environment, recommends the optimal fix order, and learns from every remediation outcome.
Continuously updated probability of exploitation based on real-world signals — threat intelligence feeds, active exploit campaigns, and your exposure surface. Not static CVSS scores from a database.
Closed-loop learning: measures whether each remediation actually reduced risk, tracks time-to-effect, and feeds outcomes back into future recommendations. Every fix teaches the platform something.
Adjusts risk based on your specific environment — cloud vs on-prem, industry vertical, architecture topology, and exposure surface. The same CVE means different things in different contexts.
Models how vulnerabilities compound across your network topology. Identifies blast radius, critical paths, and choke points — showing which single fix eliminates the most aggregate risk.
Ingests findings from Nuclei, Burp, manual reports, and red team exercises continuously — not as quarterly snapshots. Recommends what to test next based on emerging risk patterns.
AI learns which fix order yields maximum risk reduction for your specific environment. Optimizes for real-world constraints: team capacity, change windows, and dependency chains.
Remediation Intelligence Loop
Traditional vulnerability management is open-loop: scan, prioritize, remediate, and hope it worked. SentinelRisk closes the loop. Every remediation outcome — did risk actually decrease? how fast? by how much? — feeds back into the platform's understanding of what works in your environment.
After 90 days, SentinelRisk knows which types of fixes are most effective for your infrastructure, which teams resolve issues fastest, and which remediation paths yield the greatest risk reduction per hour of effort.
Discover
Vulnerabilities identified from scanners, pen tests, and continuous monitoring — enriched with environmental context.
Prioritize
AI scores risk dynamically based on exploitability, blast radius, and your specific architecture. Not generic CVSS.
Recommend
Optimal remediation sequence that maximizes risk reduction within your team's capacity and change windows.
Remediate
Teams execute fixes. SentinelRisk tracks progress, detects stalls, and adjusts recommendations in real time.
Verify
Post-remediation risk measurement confirms whether the fix worked. Outcome data improves future scoring and recommendations.
Risk Trajectory
SentinelRisk doesn't just show a score. It shows the trajectory — where you were, where you are, where you're heading, and exactly which actions drove the change.
Risk declining at a sustained rate. At current trajectory, projected to reach target score by Q3. Top contributing factors: infrastructure patching cadence and attack surface reduction in cloud workloads.
Patch OpenSSL on edge proxies (3 instances)
Active exploitation detected in the wild. Your edge proxies are internet-facing with this version.
Rotate service account credentials (auth-svc)
Credentials unchanged for 180+ days. This service has broad internal access. Previous rotation resolved similar risk in 2 hours.
Enable WAF rules on staging environment
Staging shares network segment with production. Last pen test found 4 exploitable paths through staging. WAF closes 3 of them.
Connect your scanners and pen test reports. SentinelRisk begins scoring real risk and recommending optimal remediation from the first import.