RAD Security

Q: What can RAD Security do?

kubernetes security posture assessment via mcp protocol, cloud environment security scanning and threat detection, ai-powered security finding analysis and remediation recommendation, real-time kubernetes workload security monitoring and alerting, compliance and audit trail generation for security findings, multi-cluster security orchestration and cross-cluster correlation, security policy validation and drift detection

MCP ServerFree

** - Interact with the RAD Security platform which provides AI-powered security insights for Kubernetes and cloud environments.

Open Source

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7 capabilities

Capabilities7 decomposed

kubernetes security posture assessment via mcp protocol

Medium confidence

Connects Claude and other MCP-compatible clients to RAD Security's cloud platform to analyze Kubernetes cluster configurations, workload deployments, and runtime behaviors for security misconfigurations and vulnerabilities. Uses the Model Context Protocol as a standardized bridge, allowing Claude to invoke RAD Security tools as native functions without custom integrations, with results streamed back as structured security findings.

Solves for

I want Claude to audit my Kubernetes cluster for security issues without leaving the chat interfaceI need to integrate RAD Security scanning into my Claude-based security workflowI want to query Kubernetes security posture as part of a larger AI-driven analysis task

Best for

DevOps engineers using Claude for infrastructure security reviews

Security teams building AI-assisted compliance workflows

Platform engineers integrating security scanning into LLM-powered tools

Requires

RAD Security account with API key/token

MCP-compatible client (Claude Desktop, or custom MCP host)

Network access to RAD Security API endpoints

Limitations

Requires active RAD Security account and API credentials — no local-only scanning

MCP protocol overhead adds ~500ms per request round-trip to RAD Security platform

Limited to Kubernetes environments; does not support other container orchestrators

What makes it unique

Implements RAD Security as an MCP server, enabling Claude to natively invoke Kubernetes security analysis without custom plugins or API wrappers — the MCP protocol standardizes how Claude discovers and calls RAD Security tools, making it composable with other MCP servers in the same session.

vs alternatives

Unlike standalone Kubernetes security tools (Kubesec, Polaris) or cloud-native SIEM integrations, RAD Security via MCP embeds security analysis directly into Claude's reasoning loop, allowing multi-step security investigations and remediation planning within a single conversation.

cloud environment security scanning and threat detection

Medium confidence

Scans cloud infrastructure (AWS, GCP, Azure) for misconfigurations, exposed credentials, overly permissive IAM policies, and runtime threats using RAD Security's AI-powered analysis engine. The MCP server exposes these scanning capabilities as callable tools, allowing Claude to trigger scans, retrieve results, and correlate findings across multiple cloud accounts or regions in a single analysis session.

Solves for

I want to scan my AWS account for security misconfigurations and get AI-generated remediation stepsI need to check multiple cloud environments for compliance violations in one workflowI want Claude to identify and explain cloud security risks in plain language

Best for

Cloud security engineers performing multi-cloud audits

DevSecOps teams automating compliance checks

Security architects using Claude for threat modeling and risk assessment

Requires

RAD Security account with cloud provider integrations enabled

Cloud provider credentials (AWS IAM keys, GCP service account, Azure credentials)

MCP-compatible client with network access to RAD Security API

Limitations

Scanning latency depends on cloud environment size — large accounts may take 2-5 minutes per scan

Requires cloud provider credentials (AWS keys, GCP service accounts, etc.) — credential management is user's responsibility

RAD Security's threat detection rules are proprietary and not customizable via MCP

What makes it unique

Integrates multi-cloud scanning (AWS, GCP, Azure) through a single MCP interface, allowing Claude to correlate security findings across heterogeneous cloud environments without separate tool invocations or context switching — RAD Security's backend handles cloud-specific API calls and threat correlation.

vs alternatives

Compared to point solutions like AWS Config, GCP Security Command Center, or Azure Security Center, RAD Security via MCP provides unified multi-cloud analysis with AI-driven insights and remediation guidance, all accessible through Claude's natural language interface.

ai-powered security finding analysis and remediation recommendation

Medium confidence

Processes raw security findings from Kubernetes and cloud scans through RAD Security's AI engine to generate contextual remediation recommendations, risk prioritization, and compliance mapping. The MCP server exposes analysis endpoints that Claude can invoke to transform low-level security data into actionable, business-contextualized guidance with code examples and implementation steps.

Solves for

I want Claude to explain why a security finding matters and how to fix it in plain languageI need prioritized remediation steps for a large number of security findingsI want to understand the business impact of a security misconfiguration

Best for

Security teams translating technical findings into actionable remediation

DevOps engineers who need remediation guidance without deep security expertise

Compliance officers mapping findings to regulatory requirements

Requires

RAD Security account with AI analysis features enabled

Security findings from prior Kubernetes or cloud scans

MCP-compatible client with sufficient context window for detailed analysis

Limitations

Remediation recommendations are generic — may not account for application-specific constraints or legacy system requirements

AI analysis quality depends on RAD Security's training data — novel or edge-case vulnerabilities may receive generic guidance

No interactive remediation — Claude can suggest fixes but cannot directly apply them to infrastructure

What makes it unique

Leverages RAD Security's proprietary AI models (trained on Kubernetes and cloud security patterns) to contextualize findings within Claude's reasoning loop — Claude can ask follow-up questions about findings, request alternative remediation approaches, or correlate findings across multiple scans, all within a single conversation.

vs alternatives

Unlike static security tools that output findings in isolation, RAD Security's AI analysis via MCP allows Claude to reason about findings interactively, ask clarifying questions, and generate business-contextualized remediation guidance that accounts for organizational constraints.

real-time kubernetes workload security monitoring and alerting

Medium confidence

Monitors running Kubernetes workloads for runtime security events (privilege escalation attempts, suspicious process execution, network anomalies) and exposes alerts through MCP tools that Claude can query and analyze. The MCP server polls RAD Security's monitoring backend for new alerts and allows Claude to retrieve alert details, correlate events across workloads, and trigger investigation workflows.

Solves for

I want Claude to check for recent security incidents in my Kubernetes cluster and summarize themI need to investigate a suspicious workload behavior and understand the security implicationsI want to correlate security alerts across multiple clusters to identify patterns

Best for

Security operations centers (SOCs) using Claude for alert triage and investigation

DevOps teams monitoring production Kubernetes clusters for runtime threats

Incident response teams investigating security events

Requires

RAD Security monitoring agents installed in Kubernetes clusters (DaemonSet or sidecar)

RAD Security account with real-time monitoring enabled

Network connectivity from agents to RAD Security backend

Limitations

Alert latency depends on RAD Security's monitoring agent refresh rate — typically 30-60 seconds behind real-time events

Requires RAD Security monitoring agents deployed in each Kubernetes cluster — adds operational overhead

Alert volume can be high in large clusters — Claude's context window may be exceeded if querying many alerts at once

What makes it unique

Exposes Kubernetes runtime security events through MCP, allowing Claude to query and correlate alerts across clusters in real-time — unlike static scanning, this capability monitors live workload behavior and allows Claude to reason about attack chains and incident progression.

vs alternatives

Compared to traditional Kubernetes security tools (Falco, Aqua, Sysdig) that output alerts to separate dashboards, RAD Security via MCP brings runtime alerts into Claude's reasoning context, enabling AI-driven incident investigation and correlation without context switching.

compliance and audit trail generation for security findings

Medium confidence

Generates compliance-mapped audit trails and reports for security findings, correlating them with regulatory frameworks (CIS Kubernetes Benchmark, PCI-DSS, HIPAA, SOC 2) and producing evidence for compliance audits. The MCP server exposes endpoints that Claude can invoke to generate compliance reports, map findings to control requirements, and produce audit documentation suitable for external auditors.

Solves for

I need to generate a compliance report showing how our Kubernetes cluster meets CIS benchmarksI want to map security findings to PCI-DSS requirements for our auditI need to produce evidence of security controls for a SOC 2 audit

Best for

Compliance officers and auditors preparing for external audits

Security teams documenting control implementation for regulatory requirements

DevOps teams generating compliance evidence for infrastructure changes

Requires

RAD Security account with compliance mapping features

Prior security scans of Kubernetes and cloud environments

MCP-compatible client

Limitations

Compliance mappings are based on RAD Security's interpretation of standards — may not align with organization's specific compliance requirements

Reports are generated from scan data only — do not include manual control assessments or policy documentation

Audit trail generation is point-in-time — does not track historical compliance drift over time

What makes it unique

Automates compliance report generation by mapping RAD Security findings to regulatory frameworks and producing audit-ready documentation — Claude can query compliance status, identify gaps, and generate remediation plans aligned with specific regulatory requirements.

vs alternatives

Unlike manual compliance tracking or separate compliance tools, RAD Security via MCP integrates compliance mapping directly into security findings, allowing Claude to generate compliance reports on-demand and correlate security posture with regulatory requirements in a single workflow.

multi-cluster security orchestration and cross-cluster correlation

Medium confidence

Orchestrates security scanning and analysis across multiple Kubernetes clusters simultaneously, correlating findings and threat patterns across cluster boundaries to identify infrastructure-wide security issues. The MCP server manages cluster discovery, parallel scan execution, and cross-cluster data correlation, allowing Claude to reason about security posture across entire Kubernetes fleets.

Solves for

I want to scan all my Kubernetes clusters at once and identify common security issuesI need to correlate security findings across dev, staging, and production clustersI want to understand if a vulnerability in one cluster affects others

Best for

Platform teams managing multiple Kubernetes clusters across environments

Large enterprises with distributed Kubernetes infrastructure

Security teams conducting infrastructure-wide security assessments

Requires

RAD Security account with multi-cluster support

Credentials for all Kubernetes clusters to be scanned

MCP-compatible client with sufficient context for large result sets

Limitations

Parallel scan execution increases API load on RAD Security backend — may trigger rate limiting for large cluster counts

Cross-cluster correlation requires consistent cluster naming and metadata — heterogeneous cluster configurations may reduce correlation accuracy

Scan time scales linearly with cluster count — scanning 50+ clusters may take 10+ minutes

What makes it unique

Manages parallel scanning and correlation across multiple Kubernetes clusters through a single MCP interface, allowing Claude to reason about infrastructure-wide security patterns without manual cluster-by-cluster analysis — RAD Security's backend handles cluster discovery, parallel execution, and cross-cluster data normalization.

vs alternatives

Unlike tools that require separate scans per cluster or manual correlation, RAD Security's multi-cluster orchestration via MCP enables Claude to analyze entire Kubernetes fleets as a unified security domain, identifying patterns and shared vulnerabilities across cluster boundaries.

security policy validation and drift detection

Medium confidence

Validates Kubernetes and cloud configurations against organization-defined security policies and detects policy drift (deviations from approved configurations) over time. The MCP server exposes policy validation endpoints that Claude can invoke to check current configurations against policies, identify drift, and recommend corrective actions to restore compliance.

Solves for

I want to check if my Kubernetes cluster still complies with our security policiesI need to detect when someone changed a security-critical configurationI want to enforce consistent security policies across all my clusters

Best for

Platform teams enforcing consistent security policies across infrastructure

DevOps teams detecting unauthorized configuration changes

Security teams monitoring policy compliance over time

Requires

RAD Security account with policy validation features

Security policies defined in RAD Security platform

Prior baseline scans to establish policy compliance state

Limitations

Policy validation is based on RAD Security's policy engine — custom organizational policies may require manual mapping

Drift detection is point-in-time — does not provide historical audit trail of when drift occurred

No automatic remediation — Claude can recommend fixes but cannot automatically revert configurations

What makes it unique

Detects policy drift by comparing current configurations against organization-defined baselines, allowing Claude to identify unauthorized changes and recommend corrective actions — integrates with RAD Security's policy engine to provide continuous compliance monitoring.

vs alternatives

Unlike static policy checkers (OPA, Kyverno) that validate at deployment time, RAD Security's drift detection via MCP provides ongoing compliance monitoring and allows Claude to investigate drift incidents and recommend remediation in context.

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

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Repository28

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kubernetes-security-vulnerability-scanningautomated-cluster-issue-diagnosis

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All-in-one appsec platform with AI-powered triage.

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MCP Server36

k8s-mcp-server

K8s-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants like Claude to securely execute Kubernetes commands. It provides a bridge between language models and essential Kubernetes CLI tools including kubectl, helm, istioctl, and argocd, allowing AI systems to assist with cl

security validation and policy enforcement for kubernetes commands

1 shared capability

Best For

✓DevOps engineers using Claude for infrastructure security reviews
✓Security teams building AI-assisted compliance workflows
✓Platform engineers integrating security scanning into LLM-powered tools
✓Cloud security engineers performing multi-cloud audits
✓DevSecOps teams automating compliance checks
✓Security architects using Claude for threat modeling and risk assessment
✓Security teams translating technical findings into actionable remediation
✓DevOps engineers who need remediation guidance without deep security expertise

Known Limitations

⚠Requires active RAD Security account and API credentials — no local-only scanning
⚠MCP protocol overhead adds ~500ms per request round-trip to RAD Security platform
⚠Limited to Kubernetes environments; does not support other container orchestrators
⚠Depends on RAD Security's cloud availability — no offline fallback
⚠Scanning latency depends on cloud environment size — large accounts may take 2-5 minutes per scan
⚠Requires cloud provider credentials (AWS keys, GCP service accounts, etc.) — credential management is user's responsibility

Requirements

RAD Security account with API key/tokenMCP-compatible client (Claude Desktop, or custom MCP host)Network access to RAD Security API endpointsKubernetes cluster with appropriate RBAC permissions for scanningRAD Security account with cloud provider integrations enabledCloud provider credentials (AWS IAM keys, GCP service account, Azure credentials)MCP-compatible client with network access to RAD Security APIAppropriate IAM permissions in cloud accounts to read configuration and security metadata

Input / Output

Accepts: Kubernetes cluster credentials (kubeconfig or service account token), Cluster identifiers or namespaces to scan, Natural language queries about security posture, Cloud account identifiers (AWS account IDs, GCP project IDs, Azure subscription IDs), Scope filters (regions, resource types, tags), Natural language scan requests, Raw security findings (JSON/YAML from scans), Cluster or account metadata for context, Natural language questions about findings, Time range for alert queries, Filters (cluster, namespace, workload, severity), Natural language alert investigation requests, Compliance framework selection, Scan results and findings, Organization metadata (name, audit scope, etc.), Cluster identifiers or kubeconfig files for multiple clusters, Scan scope (all clusters, specific environments, specific namespaces), Correlation filters (resource types, severity levels, etc.), Cluster or account identifiers, Policy selection (predefined or custom), Time range for drift detection

Produces: Structured security findings (JSON/YAML), Risk severity classifications, Remediation recommendations, Compliance mapping data, Security findings with severity levels (critical, high, medium, low), Misconfiguration details and affected resources, Remediation guidance and code snippets, Compliance mapping (CIS, PCI-DSS, etc.), Prioritized remediation steps, Code snippets for fixes (Kubernetes manifests, Terraform, CloudFormation, etc.), Compliance mapping and audit trail, Risk scoring and business impact assessment, Alert details (timestamp, severity, affected workload, event type), Correlated events and attack chains, Investigation recommendations, Incident severity assessment, Compliance reports (PDF, JSON, HTML), Control mapping matrices, Audit evidence and supporting documentation, Remediation status tracking, Unified security findings across all clusters, Cross-cluster correlation reports, Infrastructure-wide risk assessment, Cluster-specific and aggregate remediation recommendations, Policy compliance status (compliant, non-compliant, drift detected), Specific configuration deviations, Remediation steps to restore compliance, Drift timeline and change history

UnfragileRank

Adoption15%(30% weight)

Quality24%(25% weight)

Ecosystem40%(25% weight)

Match Graph10%(15% weight)

Freshness75%(5% weight)

UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.

Type: MCP Server

7 capabilities

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** - Interact with the RAD Security platform which provides AI-powered security insights for Kubernetes and cloud environments.

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Capabilities7 decomposed

kubernetes security posture assessment via mcp protocol

Medium confidence

Solves for

Best for

DevOps engineers using Claude for infrastructure security reviews

Security teams building AI-assisted compliance workflows

Platform engineers integrating security scanning into LLM-powered tools

Requires

RAD Security account with API key/token

MCP-compatible client (Claude Desktop, or custom MCP host)

Network access to RAD Security API endpoints

Limitations

Requires active RAD Security account and API credentials — no local-only scanning

MCP protocol overhead adds ~500ms per request round-trip to RAD Security platform

Limited to Kubernetes environments; does not support other container orchestrators

What makes it unique

vs alternatives

cloud environment security scanning and threat detection

Medium confidence

Solves for

Best for

Cloud security engineers performing multi-cloud audits

DevSecOps teams automating compliance checks

Security architects using Claude for threat modeling and risk assessment

Requires

RAD Security account with cloud provider integrations enabled

Cloud provider credentials (AWS IAM keys, GCP service account, Azure credentials)

MCP-compatible client with network access to RAD Security API

Limitations

Scanning latency depends on cloud environment size — large accounts may take 2-5 minutes per scan

Requires cloud provider credentials (AWS keys, GCP service accounts, etc.) — credential management is user's responsibility

RAD Security's threat detection rules are proprietary and not customizable via MCP

What makes it unique

vs alternatives

ai-powered security finding analysis and remediation recommendation

Medium confidence

Solves for

Best for

Security teams translating technical findings into actionable remediation

DevOps engineers who need remediation guidance without deep security expertise

Compliance officers mapping findings to regulatory requirements

Requires

RAD Security account with AI analysis features enabled

Security findings from prior Kubernetes or cloud scans

MCP-compatible client with sufficient context window for detailed analysis

Limitations

Remediation recommendations are generic — may not account for application-specific constraints or legacy system requirements

AI analysis quality depends on RAD Security's training data — novel or edge-case vulnerabilities may receive generic guidance

No interactive remediation — Claude can suggest fixes but cannot directly apply them to infrastructure

What makes it unique

vs alternatives

real-time kubernetes workload security monitoring and alerting

Medium confidence

Solves for

Best for

Security operations centers (SOCs) using Claude for alert triage and investigation

DevOps teams monitoring production Kubernetes clusters for runtime threats

Incident response teams investigating security events

Requires

RAD Security monitoring agents installed in Kubernetes clusters (DaemonSet or sidecar)

RAD Security account with real-time monitoring enabled

Network connectivity from agents to RAD Security backend

Limitations

Alert latency depends on RAD Security's monitoring agent refresh rate — typically 30-60 seconds behind real-time events

Requires RAD Security monitoring agents deployed in each Kubernetes cluster — adds operational overhead

Alert volume can be high in large clusters — Claude's context window may be exceeded if querying many alerts at once

What makes it unique

vs alternatives

compliance and audit trail generation for security findings

Medium confidence

Solves for

Best for

Compliance officers and auditors preparing for external audits

Security teams documenting control implementation for regulatory requirements

DevOps teams generating compliance evidence for infrastructure changes

Requires

RAD Security account with compliance mapping features

Prior security scans of Kubernetes and cloud environments

MCP-compatible client

Limitations

Compliance mappings are based on RAD Security's interpretation of standards — may not align with organization's specific compliance requirements

Reports are generated from scan data only — do not include manual control assessments or policy documentation

Audit trail generation is point-in-time — does not track historical compliance drift over time

What makes it unique

vs alternatives

multi-cluster security orchestration and cross-cluster correlation

Medium confidence

Solves for

Best for

Platform teams managing multiple Kubernetes clusters across environments

Large enterprises with distributed Kubernetes infrastructure

Security teams conducting infrastructure-wide security assessments

Requires

RAD Security account with multi-cluster support

Credentials for all Kubernetes clusters to be scanned

MCP-compatible client with sufficient context for large result sets

Limitations

Parallel scan execution increases API load on RAD Security backend — may trigger rate limiting for large cluster counts

Cross-cluster correlation requires consistent cluster naming and metadata — heterogeneous cluster configurations may reduce correlation accuracy

Scan time scales linearly with cluster count — scanning 50+ clusters may take 10+ minutes

What makes it unique

vs alternatives

security policy validation and drift detection

Medium confidence

Solves for

Best for

Platform teams enforcing consistent security policies across infrastructure

DevOps teams detecting unauthorized configuration changes

Security teams monitoring policy compliance over time

Requires

RAD Security account with policy validation features

Security policies defined in RAD Security platform

Prior baseline scans to establish policy compliance state

Limitations

Policy validation is based on RAD Security's policy engine — custom organizational policies may require manual mapping

Drift detection is point-in-time — does not provide historical audit trail of when drift occurred

No automatic remediation — Claude can recommend fixes but cannot automatically revert configurations

What makes it unique

vs alternatives

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

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GitHub Copilot52Extension

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RAD Security

Capabilities7 decomposed

kubernetes security posture assessment via mcp protocol

cloud environment security scanning and threat detection

ai-powered security finding analysis and remediation recommendation

real-time kubernetes workload security monitoring and alerting

compliance and audit trail generation for security findings

multi-cluster security orchestration and cross-cluster correlation

security policy validation and drift detection

Related Artifactssharing capabilities

K8sGPT

MCP Hunt

mcp-for-security

hexstrike-ai

Aikido Security

k8s-mcp-server

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

About

Categories

Alternatives to RAD Security

Are you the builder of RAD Security?

Get the weekly brief

Data Sources

RAD Security

Capabilities7 decomposed

kubernetes security posture assessment via mcp protocol

cloud environment security scanning and threat detection

ai-powered security finding analysis and remediation recommendation

real-time kubernetes workload security monitoring and alerting

compliance and audit trail generation for security findings

multi-cluster security orchestration and cross-cluster correlation

security policy validation and drift detection

Related Artifactssharing capabilities

K8sGPT

MCP Hunt

mcp-for-security

hexstrike-ai

Aikido Security

k8s-mcp-server

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

About

Categories

Alternatives to RAD Security

Are you the builder of RAD Security?

Get the weekly brief

Data Sources