Cloud & DevSecOps Security

    AI-DRIVEN CONTAINER SECURITY

    Lock down your Kubernetes clusters with autonomous defense. Faltrox Security uses AI to detect runtime anomalies, container breakouts, and insecure configurations in EKS, AKS, and GKE. We enforce Zero Trust at the pod level, ensuring your microservices are immune to lateral movement.

    Overview

    Cluster Immunity

    Containers share the host kernel. If an attacker escapes a single container, they own the node. AI-Driven Container Security detects these breakout attempts in real-time.

    We don't just scan static images. Our agents monitor Runtime Behavior, identifying anomalous syscalls, like a web server spawning a shell, that indicate a breach is in progress.

    From the Supply Chain (Registry) to the Runtime (K8s), we secure the entire lifecycle of your cloud-native applications.

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    Landscape

    Orchestration Layers

    Securing every layer of the container lifecycle.

    01

    Kubernetes (K8s)

    Securing EKS, AKS, GKE, and self-hosted clusters. Investigating RBAC, Admission Controllers, and Etcd.

    02

    Docker / Images

    Static analysis of base images for CVEs. Reducing attack surface by implementing distroless images.

    03

    Service Mesh

    Auditing Istio/Linkerd mTLS configurations to ensure zero-trust communication between microservices.

    04

    CNI / Networking

    Testing Calico/Cilium network policies to ensure proper segmentation between namespaces.

    05

    Secrets Mgmt

    Checking integration with Vault or SealedSecrets to ensure sensitive data is not stored in env vars.

    06

    Runtime Security

    Bypassing Falco/Sysdig detection rules to test the efficacy of your runtime defense.

    Process

    Red Team Process

    Deep Cluster Inspection. From manifest to runtime.

    1. 01

      STATIC SCAN

      Scanning images (Trivy/Grype) and IaC (Checkov) for CVEs and hardcoded secrets.

    2. 02

      CIS BENCHMARK

      Validating master/worker node hardening against CIS Kubernetes Benchmarks using Kube-Bench.

    3. 03

      RUNTIME ATTACK

      Executing breakout attacks (Kube-Hunter) and lateral movement tests between namespaces.

    4. 04

      HARDENING

      Applying OPA Gatekeeper policies and strict NetworkPolicies (Cilium/Calico).

    5. 05

      POD SECURITY

      Enforcing Pod Security Standards (PSS) to restrict privileged containers.

    6. 06

      VERIFICATION

      Re-running automated attacks to confirm that the new policies block the exploits.

    Scope

    Attack Surface

    Aligned with the MITRE ATT&CK for Containers framework.

    01critical

    Breakout

    Escaping the container to gain root on the host node via kernel exploits or misconfigs.

    02critical

    Secrets

    Hardcoded API keys, unencrypted Kubernetes Secrets, or exposed environment variables.

    03high

    Lateral Movement

    Moving from a compromised web pod to the database pod via flat networks.

    04medium

    Resource Abuse

    Crypto-mining or DOS attacks due to lack of limits and quotas.

    Outcomes

    Key benefits

    Run containers in production with confidence.

    Hardened Defaults

    Move away from insecure defaults to a locked-down, CIS-compliant configuration. Every image scanned, every pod policy-validated, every node bench-tested before it serves traffic.

    Supply Chain Trust

    Ensure only signed, trusted images are allowed to run in your cluster.

    Scalable Security

    Security that scales with your pods, using automated admission controllers.

    Network Isolation

    Micro-segmentation ensures that if one service is breached, the others survive.

    Secrets Hygiene

    Eliminate long-lived credentials and rotate keys automatically.

    Runtime Defense

    Detect anomalous behavior (like a shell spawning) in real-time.

    Who we serve

    Who we protect

    01

    K8s Administrators

    Teams managing EKS/GKE/AKS clusters who need independent validation.

    02

    SaaS Platforms

    Multi-tenant applications where isolation is critical for data privacy.

    03

    Financial Services

    High-value workloads requiring strict network segmentation and audit trails.

    Differentiators

    Why Faltrox?

    FeatureStandard vendorFaltrox Security
    MethodologyAutomated scanningManual exploit chaining with AI assist
    ValidationScanner outputEvery finding reproduced by a practitioner
    Business logicIgnoredDeep inspection
    ReportingGeneric PDFDev-ready artefacts and proofs of concept
    Re-testingExtra costIncluded

    Compliance

    Compliance Benchmarks

    We rely on established benchmarks to ensure your cluster meets production-grade security standards.

    Frameworks we map to

    • CIS Kubernetes Benchmark
    • NSA/CISA Hardening Guide
    • NIST Application Container Security
    • PCI-DSS
    • SOC 2 Type II
    • ISO 27001

    Audit ready

    Letters of attestation included.

    Standardised

    OWASP ASVS and NIST 800-115.

    FAQ

    Common questions

    01Do you test live production clusters?

    Yes, but carefully. We use 'read-only' exploits where possible. For destructive tests (like DOS), we recommend using a staging cluster that mirrors production.

    02What about Docker vs Kubernetes?

    We test both. We audit specific Dockerfile configurations (image hygiene) and the orchestration layer (Kubernetes RBAC, Network Policies) that manages these containers.

    03Can you scan our Helm Charts?

    Yes. We treat Infrastructure as Code (Helm, Kustomize) as a first-class citizen. We scan your manifests for misconfigurations before they are even deployed.

    04Do you bypass admission controllers?

    We try to. Testing if an attacker can bypass OPA Gatekeeper or Kyverno policies is a key part of validating your defense-in-depth strategy.

    05What is a 'Distroless' image?

    It's an image that contains only your application and its runtime dependencies, without a shell or package manager. We recommend this to reduce the attack surface.

    06Can you test Service Mesh security?

    Yes. We audit Istio, Linkerd, and Consul configurations to ensure mTLS is correctly enforced and authorization policies are not too permissive.

    Start an engagement

    Secure what’s next.

    Speak with the engineering team to define scope, walk through the methodology, and decide whether Faltrox is the right team to test and run your environment.

    Contact us