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Defend Zero Day Attacks

Garner holistic visibility across development and deployment life cycle. Mitigate risks proactively to foil attacks with our most advanced and sophisticated CNAPP product.

Open Source

cspm

Tailor made to secure SaaS and private cloud environments

cwpp

Observability & Enforcement for K8s, VMs, Container workloads

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Comprehensive security from development to deployment

AccuKnox is the first 5G Security-ORAN to be published on Nephio

From fortifying the control plane to addressing vulnerabilities in the data plane, read the white paper and discover the crucial steps we need to take in order to enhance the security of 5G networks.

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Open Source

KubeArmor is now certified Redhat Openshift Operator

Embracing the Power of Open Source: We are proud to contribute to the open-source community, allowing businesses to leverage the strength of KubeArmor to safeguard their containerized environments.

TECHNICAL PAPER

Microservice Forensics and Stability Assessment Using VAE

Home 9 Technical Papers 9 Microservice Forensics and Stability Assessment Using VAE

Next-Gen Forensics – Scalable Stability Assessment via Variational Autoencoders

This detailed 5-page document dives into containerized application runtime stability analysis. Learn about the deep-learning-based technique that leverages the power of Variational Autoencoders (VAEs) to improve stability detection and adaptive forensics reporting. This technical paper, written for security and cloud professionals, reveals the potential for fine-grained processor monitoring and digital-forensic services to be integrated inside broad container ecosystems.

What is Included In this Technical Paper:

Introduction to an intelligent publishing algorithm powered by VAEs, enabling fine-grained process monitoring and forensic-based incident response services.

How VAE applications improve stability analysis by publishing forensic data efficiently, reducing CPU performance, network transport volume, and Elasticsearch storage costs

Cost-effective approaches to preserve essential forensic data while mitigating resource consumption limitations.

Goes beyond conventional monitoring techniques, offering seamless scalability in process monitoring and incident response services.

This technical paper offers perspectives and novel approaches for improving the runtime stability and resource usage of containerized applications. It is perfect for industry experts and people interested in technological breakthroughs. The study focuses on VAEs and redefining the containerized application landscape. By adopting Variational Autoencoders, improve your container environment and modernize forensic-based incident response services.

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