--- title: "kubeshark vs AI-Infra-Guard" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kubeshark-kubeshark-vs-tencent-ai-infra-guard" tools: ["kubeshark-kubeshark", "tencent-ai-infra-guard"] --- # kubeshark vs AI-Infra-Guard *GraphCanon updated Aug 26, 2026* ## Verdict Pick kubeshark if kubeshark is an eBPF-powered network observability tool for Kubernetes that offers full L4/L7 traffic indexing and TLS decryption without needing keys; pick AI-Infra-Guard if aI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools. [kubeshark](https://kubeshark.com) reports 12k GitHub stars, 545 forks, and 146 open issues, last pushed Aug 25, 2026. [AI-Infra-Guard](https://tencent.github.io/AI-Infra-Guard/) has 4.3k stars, 419 forks, and 13 open issues, last pushed Jul 28, 2026. Figures are from public GitHub metadata via [kubeshark's repository](https://github.com/kubeshark/kubeshark) and [AI-Infra-Guard's repository](https://github.com/Tencent/AI-Infra-Guard). | | [kubeshark](/tools/kubeshark-kubeshark.md) | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) | | --- | --- | --- | | Tagline | eBPF-powered network observability for Kubernetes | A full-stack AI Red Teaming platform securing AI ecosystems | | Stars | 12,056 | 4,316 | | Forks | 545 | 419 | | Open issues | 146 | 13 | | Language | Go | Python | | Adopt for | Kubeshark is an eBPF-powered network observability tool for Kubernetes that offers full L4/L7 traffic indexing and TLS decryption without needing keys. | AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Evaluation & Observability | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [kubeshark](/tools/kubeshark-kubeshark.md) | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) | | --- | --- | --- | | Open issues (now) | 146 | 13 | | Stars delta | +42 (30d) | Unknown | | Open issues delta | +5 (30d) | Unknown | | Full report | [trust report](/tools/kubeshark-kubeshark/trust.md) | [trust report](/tools/tencent-ai-infra-guard/trust.md) | ## Decision facts: kubeshark - **Adopt for:** Kubeshark is an eBPF-powered network observability tool for Kubernetes that offers full L4/L7 traffic indexing and TLS decryption without needing keys. ## Decision facts: AI-Infra-Guard - **Adopt for:** AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools. ## Choose when ### Choose kubeshark if… - kubeshark is primarily Go; AI-Infra-Guard is Python. - Tags unique to kubeshark: cloud-native, devops, docker, ebpf. - - When you need to perform deep inspection of Kubernetes traffic on both layer 4 (transport) and layer 7 (application), with contextual information from the Kubernetes environment ### Choose AI-Infra-Guard if… - AI-Infra-Guard is primarily Python; kubeshark is Go. - Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, llm-evaluation, security-tools. - Also covers LLM Frameworks. - AI-Infra-Guard ships Docker support for self-hosted deployment. - If you need advanced LLM jailbreak evaluation capabilities specific to the vulnerabilities identified by Tencent's research, consider using AI-Infra-Guard. ## When NOT to use kubeshark - - If your primary focus is on a different cloud platform as Kubeshark is deeply integrated with Kubernetes and provides its full context along side traffic observations - - When the system does not support eBPF, which is critical for Kubeshark's operation ## When NOT to use AI-Infra-Guard - Avoid if you are looking exclusively for a tool that focuses solely on the runtime behavior of LLMs without broader infrastructural scanning capabilities. - Not recommended when your primary focus is on network-level security rather than comprehensive AI infrastructure security assessments and evaluations. ## Common questions ### What is the difference between kubeshark and AI-Infra-Guard? kubeshark: eBPF-powered network observability for Kubernetes. AI-Infra-Guard: A full-stack AI Red Teaming platform securing AI ecosystems. See the comparison table for live GitHub stats and shared categories. ### When should I choose kubeshark over AI-Infra-Guard? Choose kubeshark over AI-Infra-Guard when kubeshark is primarily Go; AI-Infra-Guard is Python; Tags unique to kubeshark: cloud-native, devops, docker, ebpf; - When you need to perform deep inspection of Kubernetes traffic on both layer 4 (transport) and layer 7 (application), with contextual information from the Kubernetes environment. ### When should I choose AI-Infra-Guard over kubeshark? Choose AI-Infra-Guard over kubeshark when AI-Infra-Guard is primarily Python; kubeshark is Go; Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, llm-evaluation, security-tools; Also covers LLM Frameworks; AI-Infra-Guard ships Docker support for self-hosted deployment; If you need advanced LLM jailbreak evaluation capabilities specific to the vulnerabilities identified by Tencent's research, consider using AI-Infra-Guard. ### When should I avoid kubeshark? - If your primary focus is on a different cloud platform as Kubeshark is deeply integrated with Kubernetes and provides its full context along side traffic observations - When the system does not support eBPF, which is critical for Kubeshark's operation ### When should I avoid AI-Infra-Guard? Avoid if you are looking exclusively for a tool that focuses solely on the runtime behavior of LLMs without broader infrastructural scanning capabilities. Not recommended when your primary focus is on network-level security rather than comprehensive AI infrastructure security assessments and evaluations. ### Is kubeshark or AI-Infra-Guard more popular on GitHub? kubeshark has more GitHub stars (12,056 vs 4,316). Stars measure visibility, not whether either tool fits your constraints. ### Are kubeshark and AI-Infra-Guard open source? Yes - both are open-source projects on GitHub (kubeshark: Apache-2.0, AI-Infra-Guard: Apache-2.0). ### Where can I find alternatives to kubeshark or AI-Infra-Guard? GraphCanon lists graph-backed alternatives at [kubeshark alternatives](/tools/kubeshark-kubeshark/alternatives) and [AI-Infra-Guard alternatives](/tools/tencent-ai-infra-guard/alternatives) ([kubeshark markdown twin](/tools/kubeshark-kubeshark/alternatives.md), [AI-Infra-Guard markdown twin](/tools/tencent-ai-infra-guard/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/kubeshark-kubeshark-vs-tencent-ai-infra-guard.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, kubeshark or AI-Infra-Guard? kubeshark: Very active. AI-Infra-Guard: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for kubeshark and AI-Infra-Guard? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [kubeshark trust report](/tools/kubeshark-kubeshark/trust); [AI-Infra-Guard trust report](/tools/tencent-ai-infra-guard/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kubeshark-kubeshark`](/api/graphcanon/graph?tool=kubeshark-kubeshark) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_