Enhanced Security Information and Event Managemen (SIEM)
Aavex Technology offers a unified security platform featuring a range of selectable and licensable security services, including but not limited to Zero Trust Networking, SASE, EDR, NGAV, SIEM, and 24/7 SOC support. The platform aims to strengthen a business’s defenses against cyber threats and facilitate compliance and risk management.
Scope of Services
The following is a description of our SIEM service as a standalone product and does not include SOC services. 24×7 Soc services are available for this product under a separate Statement of Work called “24 x 7 Security Operations Center (SOC) Services”
Pre-Requisites for Service Delivery
1.Client Selection and Licensing
a) Clients must select and license the Aavex features and modules they wish to utilize.
2.Technical Setup
a) Installation of Aavex automate agents on necessary endpoints.
b) A dedicated workstation is required for service implementation.
3.Disclaimer
a) The service effectiveness depends on the correct module selection, configuration, and adherence to recommended settings. Deviations or misconfigurations may affect the protection level provided.
AI-SIEM
As part of our commitment outlined in the Statement of Work, Aavex is pleased to offer an advanced suite of Security Information and Event Management (SIEM) solutions. Our services are designed to provide comprehensive security monitoring, sophisticated threat detection, and efficient incident response, tailored to the unique needs of each organization.
Comprehensive Data Ingestion
Broad-Spectrum Data Ingestion: Our service efficiently ingests a diverse array of telemetry, including events, logs, flows, and user activity data from identities, networks, endpoints, clouds, and applications, ensuring unparalleled visibility and correlation.
NTA (Network Traffic Analysis/Network Detection & Response)
NTA involves monitoring and analyzing network traffic to detect suspicious activities and threats. It provides visibility into network communications, helping organizations identify malicious behaviors such as lateral movement, data exfiltration, and command-and-control traffic.
UEBA (User and Entity Behavior Analytics)
UEBA solutions analyze the behaviors of users and entities within a network to detect unusual activities that may indicate security threats. They use machine learning to establish baselines of normal behavior and identify deviations that could signify compromised accounts or insider threats.
ML (Machine Learning)
Machine learning is a subset of artificial intelligence that involves training algorithms to recognize patterns and make predictions based on data. In cybersecurity, ML is used for behavioral analytics, anomaly detection, and improving threat detection accuracy (Seceon) (Seceon).
AI (Artificial Intelligence)
AI encompasses a broad range of technologies that enable machines to perform tasks that typically require human intelligence, such as decision-making, pattern recognition, and language understanding. In cybersecurity, AI is used to automate threat detection, response, and improve the overall efficiency of security operations (Seceon) (Seceon).
DTM (Dynamic Threat Models)
Dynamic threat models use AI and machine learning to continuously update and refine threat detection algorithms based on new data and emerging threats. These models adapt to evolving attack techniques, improving the ability to detect and respond to sophisticated cyber threats (Seceon) (Seceon).
SOAR (Security Orchestration, Automation, and Response)
Our SOAR solutions automate and orchestrate security operations processes, from threat detection to incident response, to enhance the efficiency and accuracy of security teams. They integrate with various security tools and automate routine tasks, allowing analysts to focus on more critical issues.
Advanced Threat Detection
AI/ML-Based Threat Detection: Leveraging artificial intelligence and machine learning, our service provides real-time detection of threats and breaches. This includes contextual enrichment with threat intelligence from over 40 sources, combined with vulnerability assessments and historical data.
Behavioral Analysis: Utilizing behavior baselining and profiling, we enhance anomaly detection capabilities, ensuring that emerging threats are identified promptly and accurately.
Proactive Incident Response
Dynamic Threat Modeling: Advanced event correlation, both on-premises and in the cloud, is facilitated using AI and dynamic threat models. This aids in swift identification and response to threats based on rules-based policy creation and enforcement.
Automated and Manual Response Options
Our service offers both automated remediation and manual intervention capabilities, including incident triaging and prebuilt playbooks. The intuitive drag-and-drop playbook designer allows for quick and effective response strategies. Response strategies will be co-developed with the client based on their needs, tools already in place and overall cybersecurity posture.
Compliance and Reporting
Continuous Compliance Monitoring: We provide continuous compliance and reporting across various key areas, including security, compliance, operations, and investigations. Our standard reports cover NIST, PCI, HIPAA, CMMC, and more, ensuring that your organization remains compliant with industry standards.
Endpoint and Application Protection
Enhanced Endpoint Security: With the optional aiXDR integration, our service extends its capabilities to include endpoint and application protection. This includes comprehensive threat detection and automated responses, file integrity monitoring, data control, and continuous security posture monitoring.
Scalable and Efficient Deployments
Flexible Deployment Solutions: Our multi-tenant, flexible ‘best-fit’ deployment options, including geographically dispersed deployments, ensure that our service scales with your business needs, offering efficient security operations and higher margins.
Rapid Integration and Deployment: The service supports rapid integration with existing systems, reducing the need for extensive hardware or custom scripting. This approach significantly improves the mean time to detect and respond to threats.