Rampart-AI offers a robust set of application security capabilities designed to address both emerging threats and the vulnerabilities inherent in modern cloud environments. By combining traditional security techniques with advanced AI/ML-driven approaches, Rampart ensures organizations can detect, prevent, and respond to threats across multiple fronts. This blog outlines Rampart-AI’s key application security capabilities across three critical areas: Intrusion Detection and Prevention, Network Detection and Response, and Cloud-Native Application Protection.
Rampart-AI's Intrusion Detection and Prevention Systems serve as the first line of defense, safeguarding applications from exploits by monitoring for malicious activity and proactively responding to potential attacks. Key capabilities include:
Virtual Patching: One of the most proactive defenses against the exploitation of vulnerabilities, virtual patching helps detect and prevent breaches before they happen, addressing vulnerabilities until formal patches can be applied.
Signature-Based Detection: This tried-and-true method allows Rampart-AI to rapidly respond to new threats. Signatures are developed quickly and deployed in real-time to ensure zero-day vulnerabilities are addressed.
Threat Intelligence (TI) Reputation Services: By leveraging action-oriented intelligence, Rampart can protect against spam, phishing, botnets, malicious websites, web exploit toolkits, and malware activity. This ensures that organizations remain up-to-date with the latest threats.
Threat Monitoring and Prevention: Rampart offers a comprehensive dashboard that allows organizations to track and manage threats in real-time. Advanced capabilities like Threat Prevention/Management ensure immediate action can be taken on detected threats.
Advanced Threat Detection (ATD): With sandboxing and anomaly detection capabilities, Rampart steps up to handle targeted attack detection. Its sandboxing capabilities offer an isolated environment to detect and analyze malware, while its AI-driven anomaly detection identifies deviations from normal application behavior.
Rampart’s IDPS ensures that both known and emerging threats are mitigated before they can disrupt business operations, providing peace of mind in an increasingly hostile digital environment.
Rampart-AI’s Network Detection and Response (NDR) capabilities take network protection to the next level by continuously monitoring both internal and external traffic. The focus is on threat detection, traffic analysis, and rapid response. Here’s how Rampart stands out:
Automated Responses: In cases of an identified threat, Rampart can automatically trigger responses such as host containment or traffic blocking through integrations with other cybersecurity tools, ensuring minimal downtime.
Low False Positive Rate: After initial tuning, Rampart’s NDR achieves a remarkably low false positive rate, allowing it to become a trusted source of insight for threat analysts while also supporting automated responses.
Comprehensive Traffic Monitoring: Rampart’s NDR delivers raw network traffic analysis through both physical and virtual sensors. This covers north-south traffic (traffic crossing the network perimeter) and east-west traffic (lateral movement within the network), giving a full view of potential threats.
Behavioral Traffic Modeling: By modeling normal network traffic and using machine learning and advanced analytics, Rampart highlights unusual activity. Non-signature-based detection techniques help identify new types of network anomalies that traditional detection methods might miss.
Alert Aggregation and Incident Response: Rampart’s NDR aggregates alerts into structured incidents, streamlining threat investigations. Through integration with SOC tools, it enriches alerts with additional context and facilitates swift, automated or manual responses.
Cloud Traffic Monitoring: Rampart extends these capabilities to IaaS environments, offering complete visibility into both cloud and on-premise traffic. It also integrates traditional detection techniques, such as rule-based heuristics and threshold-based alerts, with more modern machine learning-driven anomaly detection.
Rampart-AI’s NDR ensures that organizations can not only detect threats across their entire network but also respond quickly, minimizing the potential impact of any security incident.
As businesses increasingly shift toward cloud-native environments, securing cloud workloads and applications requires a tailored approach. Rampart-AI’s Cloud-Native Application Protection Platform (CNAPP) delivers comprehensive cloud protection with a wide array of features:
API Integration with Cloud Platforms: Rampart integrates seamlessly with hyperscale cloud platforms like AWS, Microsoft Azure, and Google Cloud Platform (GCP), as well as Kubernetes. This integration enables organizations to review and audit configurations and permissions to identify common security misconfigurations.
Development Operation Workflows: Rampart’s platform provides risk analysis and prioritization throughout the development lifecycle of modern applications. Capabilities include infrastructure as code scanning and container registry scanning, ensuring vulnerabilities are caught early in the development process.
Runtime Visibility: Rampart offers real-time visibility into workloads, helping organizations detect security vulnerabilities, secrets, and anomalous behaviors in virtual machines, containers, and serverless environments. This context enriches cloud configuration findings, allowing for better-informed security decisions.
Cloud-Delivered Platform: Rampart’s solution is offered as a cloud-delivered “as-a-service” platform, ensuring ease of deployment and integration without needing to manage a suite of loosely connected tools.
Software Compositional Analysis and Pipeline Hardening: Rampart’s platform scans software bills of materials (SBOMs) and hardens the development pipeline to ensure security at every step of the CI/CD process.
Security Guardrails for Developers: Rampart provides developers with structured workflows, enabling security guardrails that scale with application development. This approach adapts to the dynamic nature of multi-cloud adoption.
Workload Vulnerability Management: The platform provides virtual patching and workload isolation/segmentation capabilities. It can also manage running services and processes in real-time, addressing vulnerabilities before they can be exploited.
API Discovery and Protection: Rampart offers API discovery and scanning, ensuring APIs are secure. The platform can integrate with third-party API protection solutions, enhancing its flexibility in complex environments.
Cloud Detection and Response (CDR): Going beyond basic workload monitoring, Rampart’s CDR capabilities offer advanced threat correlation and remediation, allowing businesses to respond quickly and effectively to threats in the cloud.
Compliance Benchmarking: Rampart provides predefined templates for benchmarking against common compliance standards, including CIS, NIST, ISO, PCI, and HIPAA. This feature streamlines audits and ensures adherence to critical security frameworks.
With Rampart’s CNAPP, organizations can secure their cloud environments holistically, from development pipelines to runtime workloads, and ensure their application security posture remains strong.
Rampart-AI’s application security capabilities cover all aspects of modern threat protection, from real-time network monitoring and automated responses to proactive vulnerability management and cloud-native application protection. Through a combination of AI-powered threat detection, seamless cloud integration, and developer-friendly security workflows, Rampart ensures that organizations are prepared to defend against the most sophisticated attacks. Whether you’re securing on-premises networks or cloud workloads, Rampart’s comprehensive security platform provides the protection and peace of mind necessary in today’s digital landscape.