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See Through the Noise.
Secure What Matters.
Secure What Matters.
Enhancing Security Operations
with Intelligence and Efficiency
Modern AppSec programs rely on multiple tools such as SAST, DAST, and SCA that often generate thousands of alerts, many of them duplicates or false positives. Filtra AI brings clarity and precision to this process.
Powered by AI and graph-based analytics, Filtra AI acts as an intelligent layer between your scanners and your security team. It learns from your historical triage data, suppresses false positives, correlates related issues, and prioritizes vulnerabilities based on exploitability.
The result: fewer distractions, faster remediation, and higher accuracy — all without changing your existing CI/CD pipelines.
Capabilities
Powered by AI and contextual intelligence, Filtra AI streamlines vulnerability management by reducing false positives, correlating related findings, and prioritizing exploitable risks.
Trained ML Engine
- Learns from historical triage data, code patterns, and exceptions
- Suppresses false positives with up to 85% accuracy
- Reduces analyst effort by 60%
Trained ML Engine
- Learns from historical triage data, code patterns, and exceptions
- Suppresses false positives with up to 85% accuracy
- Reduces analyst effort by 60%
AI-Powered Correlation
- Uses graph-based AI to connect related vulnerabilities and misconfigurations
- Reveals root-cause patterns and lateral threat links
- Provides a unified, contextual view of true risks
AI-Powered Correlation
- Uses graph-based AI to connect related vulnerabilities and misconfigurations
- Reveals root-cause patterns and lateral threat links
- Provides a unified, contextual view of true risks
Contextual Risk Scoring
- Confidence scorer that applies proprietary exploitability scoring
- Uses NLP-based analysis of code and data flow
- Uses Anomaly Detector to uncovers rare /suspicious patterns using advanced unsupervised learning
Contextual Risk Scoring
- Confidence scorer that applies proprietary exploitability scoring
- Uses NLP-based analysis of code and data flow
- Uses Anomaly Detector to uncovers rare /suspicious patterns using advanced unsupervised learning
Tool-Agnostic Integration
- Works with different tools of various application security methodologies like SAST, DAST, or SCA
- Supports hybrid approach and automated CI/CD integration
- Improves DevSecOps efficiency without process changes
Tool-Agnostic Integration
- Works with different tools of various application security methodologies like SAST, DAST, or SCA
- Supports hybrid approach and automated CI/CD integration
- Improves DevSecOps efficiency without process changes
Role-Based Dashboards
- Offers tailored views for developers, analysts, and leaders
- Tracks triage trends, risk posture, and performance in real time
- Delivered through a flexible SaaS model
Role-Based Dashboards
- Offers tailored views for developers, analysts, and leaders
- Tracks triage trends, risk posture, and performance in real time
- Delivered through a flexible SaaS model
Use Cases
Reduced Noise Across Tools of Different AppSec Methodologies
Eliminate redundant and low-fidelity alerts from SAST, DAST, and SCA scanners to reduce alert fatigue by up to 70%.
Focused Remediation for Faster Response
AI correlation and contextual risk analysis help teams focus on true, exploitable vulnerabilities, improving time-to-market by 50–60%.
Enhanced Accuracy and Confidence
Machine learning models trained on historical data and human validation deliver up to 85% precision in identifying real vulnerabilities.
Smarter Risk Categorization
Risk scoring aligned with MITRE ATT&CK highlights issues with the highest likelihood of exploitation, enabling informed, data-driven decisions.
Improved DevSecOps Efficiency
Filtra AI – Frequently Asked Questions
NuSummit Cybersecurity’s Filtra AI is an AI-powered security analysis platform that ingests various security scan reports and intelligently classifies findings as True Positives, False Positives, or Requires Review. It helps security and development teams reduce noise, prioritize risks, and accelerate remediation.
Filtra AI analyzes scan outputs using AI and machine learning, rule correlation, and contextual understanding of code, evidence, and vulnerability patterns. It evaluates severity, exploitability, and historical feedback to generate a confidence-based verdict and segregates true and false positives from scan results.
Filtra AI supports integration with leading SAST, DAST, and security scanners. Reports can typically be ingested via:
- File upload (JSON, XML, CSV).
- CI/CD pipeline connectors.
(Custom integrations can be configured.)
No. Filtra AI complements your existing scanners. It enhances their value by:
- Segregating findings into likely True Positives and False Positives.
- Helping teams make faster and more informed remediation decisions.
- Prioritizing risks using AI-driven confidence scoring and insights.
Accuracy improves continuously through:
- AI learning models.
- Organizational feedback.
- Human validation loops.
Typical benefits include a significant reduction in false positives and improved remediation focus.
Yes. Filtra AI includes a structured feedback mechanism where users can mark findings as:
- True Positive.
- False Positive.
- Accepted Risk.
- Duplicate.
This feedback helps retrain and fine-tune AI models.
Yes. Filtra AI supports organization-aware intelligence, allowing the AI to adapt based on:
- Your environment, context, and tech stack.
- Your risk acceptance patterns.
- Your historical decisions.
Yes. Filtra AI can be integrated into DevSecOps workflows to:
- Analyze scan results automatically.
- Gate builds based on AI verdicts.
- Reduce manual triage effort.
Filtra AI helps developers by:
- Highlighting actionable vulnerabilities.
- Reducing noise.
- Providing remediation suggestions.
- Preventing alert fatigue.
Filtra AI can typically be deployed as:
- SaaS.
- Private Cloud.
- On-Premises.
Filtra AI is designed for:
- Application Security Teams.
- Vulnerability Management Teams.
- DevSecOps Teams.
- Developers.
- CISOs/Risk Managers.
