Saner Posture Anomalies
Detect, Assess & Normalize Anomalies
Monitor 100+ device parameters across your entire IT infrastructure and detect and normalize hidden risks that traditional vulnerability scanners never see.
How it works
Invented & Built by SecPod
Saner Posture Anomalies is SecPod’s own cybersecurity innovation, built from years of security research, platform engineering, and real-world exposure analysis. Powered by SecPod’s AI, machine-learning and statistical compilation, it helps detect anomalous conditions, and eliminate them.
Your first 30 days with Saner
From deployment to measurable risk reduction — here is what to expect.
100% Visibility into Posture Anomalies
Your first scan with Saner builds a baseline and detects anomalies, aberrations, and deviations across your IT network.
90%+ Reduction in Unknown Risks
With built-in normalization capabilities, Saner can fix deviations, normalize aberrations, and help keep your network clear of potential anomalies.
3x Improvement in Operational Efficiency
With your baseline configured and potential anomalies normalized, Saner reduces risk exposure from software assets and helps optimize your attack surface management process.
Key Features
Everything you need to stay ahead of threats.
Risk Detection Beyond Vulnerabilities
See the risks that CVE scanners are not designed to find.
CVE-based vulnerability scanners check software versions against known exploit databases. But Saner goes beyond normal scanners and detects processes behaving abnormally, configurations that has drifted from baseline, a user account with unexpected privileges, or an unknown applications in endpoints. Saner fills the detection gap between vulnerability management and full behavioural monitoring.
Confidence Score Based Anomaly Prioritization
Know which anomalies really matter, before investigating them all.
Not every deviation is a genuine threat. Saner Posture Anomalies assigns a confidence score to each detected anomaly based on the magnitude of deviation, affected parameter count, and network-wide rarity. Security admins can assess by confidence score rather than sifting through raw anomaly lists. Further, the confidence scoring helps spend investigation time on findings most likely to represent real risk.
Machine Learning and Statistical Analysis
Detection that improves as it learns your environment.
Saner Posture Anomalies uses proprietary machine learning models and statistical anomaly computation to build organization-level baselines, ensuring detection is calibrated to your specific environment rather than relying on generic signatures. By analyzing your infrastructure holistically instead of in isolation, it provides a never-before-seen view into your organization’s network.
Whitelisting and Known-Good Enforcement
Reduce anomalous risk by defining what is known-good.
With Saner, you can whitelist verified configurations, approved applications, and expected behaviours directly in the console. Once whitelisted, those items are excluded from future anomaly alerts. Enforcing known-good also progressively reduces false positives as your team refines the known-good baseline, further minimizing potential risks in your network.
Built-In Normalization Actions
Normalize and enforce known-good directly from one single console.
Saner Posture Anomalies provides built-in actions for the detected anomaly. Actions include disabling rogue services, blocking unauthorised connections, enforcing security control settings, applying system-hardening configurations and more. Further, Saner also includes provisions to build and implement custom detection rules and remediation scripts. All in one single console.
Insightful Dashboards and Custom Reports
Visualize the blind spot in your security posture.
With built-in dashboards and customizable reports, Saner Posture Anomalies provides visualisation into security posture trends, anomaly distribution across device groups, and control deviation rates over time. You can generate audit and leadership-ready reports on demand for simplified security demonstration.