Best AI Security Software for Kubernetes
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Compare the Top AI Security Software that integrates with Kubernetes as of July 2025
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This a list of AI Security software that integrates with Kubernetes. Use the filters on the left to add additional filters for products that have integrations with Kubernetes. View the products that work with Kubernetes in the table below.
What is AI Security Software for Kubernetes?
AI security software is a technology that uses artificial intelligence (AI) to protect online systems from malicious attacks. AI security software can also ensure that companies are using AI software and generative AI tools safely. It can detect potential threats and blocks them before they cause damage. AI security software provides additional protection beyond traditional methods such as firewalls, antivirus, and intrusion detection systems. AI security software can be used to protect not only corporate networks but also individual computers from cyberattacks. The AI algorithms use machine learning techniques to learn about the changing patterns of malicious behavior in order to identify new threats more quickly and accurately. It also has the ability to adapt its responses over time, making it a powerful tool for combating ever-evolving cyber threats. Many companies now deploy AI security software as part of their comprehensive cybersecurity strategy. Compare and read user reviews of the best AI Security software for Kubernetes currently available using the table below. This list is updated regularly.
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1
Blue Hexagon
Blue Hexagon
We’ve designed our real-time deep learning platform to deliver speed of detection, efficacy and coverage that sets a new standard for cyber defense. We train our neural networks with global threat data that we’ve curated carefully via threat repositories, dark web, our deployments and from partners. Just like layers of neural networks can recognize your image in photos, our proprietary architecture of neural networks can identify threats in both payloads and headers. Every day, Blue Hexagon Labs validates the accuracy of our models with new threats in the wild. Our neural networks can identify a wide range of threats — file and fileless malware, exploits, C2 communications, malicious domains across Windows, Android, Linux platforms. Deep learning is a subset of machine learning that uses multi-layered artificial neural networks to learn data representation. -
2
Axoflow
Axoflow
Detect and respond to threats faster, use AI, and reduce compliance breaches with the automatic Axoflow security data curation pipeline. Also reduces costs by 50% or more without coding, unless you really want to. The Axoflow Platform provides an end-to-end pipeline automating the collection, management, and ingestion of your security data in a vendor-agnostic way. The data transformation happens in the pipeline, resulting in data that is immediately actionable. No coding is needed at the destination, as it already arrives in a destination-optimized data model. Curation happens before it reaches the destination reducing data ingestion costs. The pipeline automatically identifies and classifies where the data is coming from. Enriches it with relevant context like geolocation if needed. Finally, converts it to a destination-optimized format. Remove infrastructure redundancy and consolidate data volume. -
3
Darktrace
Darktrace
Darktrace is a cybersecurity platform powered by AI, providing a proactive approach to cyber resilience. Its ActiveAI Security Platform delivers real-time threat detection, autonomous responses to both known and novel threats, and comprehensive visibility into an organization’s security posture. By ingesting enterprise data from native and third-party sources, Darktrace correlates security incidents across business operations and detects previously unseen threats. This complete visibility and automation reduce containment time, eliminate alert fatigue, and significantly enhance the efficiency of security operations. -
4
Blink
Blink Ops
Blink is an ROI force multiplier for security teams and business leaders looking to quickly and easily secure a wide variety of use cases. Get full visibility and coverage of alerts across your organization and security stack. Utilize automated flows to reduce noise and false positives in alerts. Scan for attacks and proactively identify insider threats and vulnerabilities. Create automated workflows that add relevant context, streamline communications, and reduce MTTR. Take action on alerts and improve your cloud security posture with no-code automation and generative AI. Shift-left access requests, streamline approvals flows, and unblock developers while keeping your applications secure. Continuously monitor your application for SOC2, ISO, GDPR, or other compliance checks and enforce controls. -
5
Operant
Operant AI
Operant AI shields every layer of modern applications, from Infra to APIs. Within minutes of a single-step deployment, Operant provides full-stack security visibility and runtime controls, blocking a wide range of common and critical attacks including data exfiltration, data poisoning, zero day vulns, lateral movement, cryptomining, prompt injection, and more. All with zero instrumentation, zero drift, and zero friction between Dev, Sec, and Ops. Operant's in-line runtime protection of all data-in-use, across every interaction from infra to APIs, brings a new level of defense to your cloud-native apps with zero instrumentation, zero application code changes and zero integrations. -
6
Edera
Edera
Introducing secure-by-design AI and Kubernetes no matter where you run your infrastructure. Eliminate container escapes and put a security boundary around Kubernetes workloads. Simplify running AI/ML workloads through enhanced GPU device virtualization, driver isolation, and vGPUs. Edera Krata begins a new paradigm of isolation technology, ushering in a new era of security. Edera brings a new era of AI & GPU security and performance, while also integrating seamlessly with Kubernetes. Each container receives its own Linux kernel, eliminating a shared kernel state between containers. Which means goodbye container escapes, costly security tool layering, and long days doom scrolling logs. Run Edera Protect with just a couple lines of YAML and you’re off to the races. It’s written in Rust for enhanced memory safety and has no performance impact. A secure-by-design Kubernetes solution that stops attackers in their tracks. -
7
Causely
Causely
Bridging observability with automated orchestration for self-managed, resilient applications at scale. Every second, huge volumes of data are generated by observability and monitoring tools, capturing metrics, logs, and traces about all aspects of complex, dynamic applications. Yet it’s still up to humans to troubleshoot and make sense of all this data. They are locked in a never-ending cycle of responding to alerts, identifying root causes, and determining the best action for remediation. The process hasn’t changed fundamentally in decades, and it’s still labor-intensive, reactive, and costly. Causely removes the need for human troubleshooting by capturing causality in software, closing the gap between observability and action. For the first time, the entire lifecycle of detection, root cause analysis, and remediation of defects in applications is fully automated. With Causely, defects are identified and resolved in real-time, so applications can scale with high performance.
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