Service · Security, Visibility & Analytics

Security Engineering - Secure by Design, Hardened & Resilient

PalC builds security into infrastructure and applications through secure-by-design architecture, threat modelling, CIS benchmark hardening, network segmentation, container and Kubernetes security, application security testing pipelines, SIEM integration, and security automation for cloud-native, network platform, and regulated enterprise environments.

Security Engineering Stack - PalC Coverage
Threat Modelling & ArchitectureSTRIDE · MITRE ATT&CK · Secure-by-design · Defence in depth
Hardening & ConfigurationCIS benchmarks · nftables / iptables · SELinux · Secrets mgmt
Vulnerability ManagementCVE scan · Patch automation
Network SecurityCilium eBPF · Firewall · IDS/IPS · mTLS · Network policies
SegmentationMicro-seg · VLAN
Container & K8s SecurityOPA Gatekeeper · Falco · Trivy · Pod security · RBAC
SAST / DAST / SCA & SIEMSemgrep · OWASP ZAP · Dependency-Track · Splunk / Elastic
CISBenchmark Hardening
ShiftLeft Security
ZeroStanding Exposure
Threat ModelCIS HardeningFalcoSASTSIEM
CISBenchmarks Applied
ShiftLeft in CI/CD
E2EDefence in Depth

Security engineering is most effective when it shapes architecture and implementation decisions from the start - not when it is applied as a checklist at deployment time. PalC builds security into infrastructure and applications through threat-informed design, systematic hardening, network-layer access controls, container and Kubernetes security controls, application security testing in CI/CD pipelines, and SIEM-backed operational visibility. This work is shaped by experience securing cloud-native platforms, network operating systems, regulated enterprise environments, and disaggregated open networking infrastructure where security controls must be consistent, auditable, and operationally sustainable.

Core Capabilities

Depth across architecture, hardening, network security, and operations

PalC covers the full security engineering lifecycle - from threat modelling and secure architecture design through platform hardening, runtime protection, supply-chain scanning, and incident response readiness.

01

Security Architecture & Threat Modelling

Defining defence-in-depth security architectures informed by structured threat modelling - identifying attack surfaces, trust boundaries, and control gaps before implementation begins, not after an incident.

  • STRIDE and MITRE ATT&CK-based threat modelling for infrastructure and applications
  • Defence-in-depth architecture design - layered controls across host, network, and application
  • Trust boundary mapping and attack surface reduction
  • Security control selection aligned to risk profile and compliance requirements
  • Secure-by-design review of new platform and application architectures
02

Hardening & Compliance Baselines

Systematic hardening of Linux hosts, network devices, cloud infrastructure, and application runtimes against CIS benchmark baselines - eliminating unnecessary attack surface through configuration, not compensating controls.

  • CIS benchmark hardening - Linux, Kubernetes, Docker, cloud services
  • SELinux and AppArmor mandatory access control policy implementation
  • Kernel parameter hardening - sysctl, seccomp profiles, capabilities dropping
  • Secrets management integration - HashiCorp Vault, Kubernetes Secrets encryption
  • Vulnerability management - automated CVE scanning, patch prioritisation
03

Network Security & Segmentation

Network-layer security controls enforced at the infrastructure level - firewall policies, micro-segmentation, IDS/IPS integration, and mTLS enforcement for service-to-service communication across cloud-native and on-premises environments.

  • Cilium eBPF-based network policy enforcement - L3/L4/L7 visibility
  • nftables and iptables firewall policy design and hardening
  • Network micro-segmentation - east-west traffic isolation between workloads
  • IDS/IPS integration - Snort, Suricata, and cloud-native WAF
  • mTLS for all service-to-service communication - certificate lifecycle automation
04

Container & Kubernetes Security

Security controls embedded in Kubernetes clusters and container workloads - admission policies, runtime threat detection, image scanning, and supply-chain integrity verification ensuring only validated, hardened workloads reach production.

  • OPA Gatekeeper admission policies - image registries, resource limits, seccomp
  • Falco runtime threat detection - syscall-level anomaly alerting
  • Trivy and Grype container image vulnerability scanning in CI pipelines
  • Kubernetes Pod Security Standards - restricted profile enforcement
  • RBAC least-privilege design - namespace isolation and service account scoping
05

Application Security & Supply Chain

Security testing integrated into development workflows - SAST, DAST, and SCA running in CI/CD pipelines to catch vulnerabilities at code review time, not at deployment. SBOM generation and dependency vulnerability tracking for supply-chain integrity.

  • SAST integration - Semgrep, Bandit, CodeQL in pull request pipelines
  • DAST - OWASP ZAP and Nuclei for API and web application scanning
  • SCA - Dependency-Track and OWASP Dependency-Check for CVE tracking
  • SBOM generation - Syft and CycloneDX for release supply-chain visibility
  • Secure coding standards review and developer security enablement
06

SIEM, Monitoring & Incident Response

Security event collection, correlation, and response - SIEM integration, security alert tuning, detection rule engineering, and incident response runbooks that close the loop between security controls and operational response capability.

  • SIEM integration and log pipeline design - Splunk, Elastic / OpenSearch, Wazuh
  • Detection rule engineering - sigma rules, SIEM correlation logic
  • Security alert tuning - reducing noise, prioritising high-fidelity signals
  • Incident response runbooks - containment, forensics, and recovery procedures
  • Security automation - SOAR playbooks for common response patterns

Technical Deep Dive

Proven engineering across hardening, runtime security, AppSec pipelines, and SIEM

PalC implements security at the platform and toolchain level - Falco syscall detection rules, Semgrep SAST in CI, Cilium network policies for Kubernetes, and Wazuh SIEM with custom detection rules for infrastructure events.

Container Runtime Security - Falco Syscall Detection

Runtime threat detection at the syscall level

Falco monitors kernel syscalls against rule sets - detecting privilege escalation, shell spawning in containers, sensitive file reads, and unexpected outbound connections before they become breaches.

# Falco rule - shell spawned inside container
- rule: Terminal shell in container
  condition: evt.type in (execve) and container and shell_procs and not proc.name in (shell_binaries)
  output: Shell spawned (user=%user.name container=%container.name image=%container.image.repository cmd=%proc.cmdline)
  priority: Warning
ToolFalco (CNCF)LayerKernel syscallOutputSIEM / Slack / PDMITREATT&CK tagged

Hardening Automation - CIS Level 2 via Ansible

Automated CIS benchmark hardening at scale

Ansible roles apply CIS Level 2 controls idempotently - kernel parameters, SSH config hardening, auditd rules, filesystem permissions, and unnecessary service removal across the fleet, with drift detection on every run.

# Ansible - CIS kernel hardening (sysctl)
- name: CIS 5.1.1 - disable IPv6 packet forwarding
  ansible.posix.sysctl:
    name: net.ipv6.conf.all.forwarding
    value: '0'
    state: present
    reload: yes
# ... more CIS controls ...
FrameworkCIS Benchmark L2AutomationAnsible idempotentMACSELinux enforcingAuditauditd rules

Network Security - Cilium L7 Network Policy

Identity-aware L7 HTTP policy enforcement with eBPF

Cilium enforces network policy at L7 - allowing only specific HTTP methods and paths between labelled pods, while blocking all other traffic by default, with visibility logs for every allow and deny decision.

# CiliumNetworkPolicy - L7 HTTP enforcement
apiVersion: cilium.io/v2
kind: CiliumNetworkPolicy
spec:
  endpointSelector:
    matchLabels:
      app: api-server
  egress:
    - toEndpoints:
        - matchLabels:
            app: service-b
      toPorts:
        - ports:
            - port: "8080"
              protocol: TCP
          rules:
            http:
              - method: GET
                path: "/api/v1/.*"
EngineCilium eBPFLayerL3/L4/L7IdentityLabel-basedVisibilityHubble flow logs

AppSec Pipeline - SAST + SCA in CI/CD

Shift-left security - findings block PR before merge

Semgrep SAST and Trivy SCA run on every pull request - high-severity findings fail the pipeline before code merges. Syft generates a CycloneDX SBOM attached to every release artifact.

# GitHub Actions - shift-left AppSec pipeline
- name: SAST - Semgrep
  run: semgrep --config=auto --severity=ERROR --json > semgrep-results.json
- name: SCA - Trivy image scan
  run: trivy image --exit-code 1 --severity HIGH,CRITICAL myregistry/app:latest
- name: SBOM - Syft CycloneDX
  run: syft . -o cyclonedx-json > sbom.json
SASTSemgrep / CodeQLSCATrivy / GrypeSBOMSyft / CycloneDXGateFail on HIGH+

Technology Stack

Security, hardening, and compliance tooling

PalC's security engineering practice covers the full stack - from threat modelling and platform hardening through runtime protection, supply-chain integrity, and SIEM-backed security operations.

Security Engineering Stack - PalC Coverage
Threat Modelling & ArchitectureSTRIDE · MITRE ATT&CK · Defence in depth · Secure-by-design review
Hardening & Configuration SecurityCIS benchmarks · SELinux · AppArmor · sysctl · Vault · auditd
Vulnerability ManagementCVE scanning · Patch automation
Network Security & SegmentationCilium eBPF · nftables · iptables · Snort · Suricata · WAF · mTLS
Container & K8s SecurityOPA Gatekeeper · Falco · Trivy · Grype · Pod Security · RBAC
Application Security (SAST / DAST / SCA)Semgrep · CodeQL · OWASP ZAP · Nuclei · Dependency-Track · Bandit
SIEM, Detection & Incident ResponseSplunk · Elastic / OpenSearch · Wazuh · Sigma rules · SOAR playbooks

Hardening & Platform Security

  • BenchmarksCIS Level 1 & Level 2
  • MACSELinux · AppArmor
  • SecretsHashiCorp Vault SOPS
  • AutomationAnsible
  • Auditauditd go-audit

Network & Container Security

  • Network PolicyCilium eBPF · nftables
  • IDS/IPSSnort · Suricata
  • RuntimeFalco syscall detection
  • AdmissionOPA Gatekeeper
  • Image scanTrivy Grype

AppSec & SIEM

  • SASTSemgrep · CodeQL · Bandit
  • DASTOWASP ZAP · Nuclei
  • SBOMSyft · CycloneDX
  • SIEMSplunk Wazuh
  • DetectionSigma rules SOAR

Our Approach

A structured approach to security engineering

From threat modelling and secure architecture design through hardening, validation, and ongoing security operations.

Phase 01

Security Architecture & Threat Modelling

Defining defence in depth, identifying attack surfaces and trust boundaries, and selecting controls aligned to threat profile and compliance requirements

Phase 02

Hardening & Implementation

Applying CIS benchmark hardening, network security controls, container security policies, AppSec tooling in CI/CD pipelines, and secrets management across the platform

Phase 03

Validation & Compliance

Testing control effectiveness, running automated compliance scans with OpenSCAP, validating network policy enforcement, and generating evidence for compliance frameworks

Phase 04

Operations & Response

SIEM tuning, detection rule engineering, security alert operations, incident response runbook delivery, and ongoing lifecycle management of security controls

Security StackCIS BenchmarksSELinux · AppArmorCilium eBPFFalcoSemgrep · TrivyWazuh · SplunkMITRE ATT&CK

Deployment Scenarios

Where this is applied

Security engineering patterns proven across cloud-native platforms, network infrastructure, regulated enterprise environments, and DevSecOps pipelines.

Cloud-Native & Kubernetes Platform Security

End-to-end Kubernetes security hardening - CIS benchmark compliance, OPA Gatekeeper admission policies, Falco runtime detection, Cilium network policies, and RBAC least-privilege enforcement for multi-tenant platform workloads.

Network & Open Networking Platform Security

Security hardening for SONiC, OcNOS, and network operating systems - CIS hardening of the management plane, nftables firewall policy, SSH key management, NETCONF access controls, and audit logging for network device change governance.

DevSecOps & Secure CI/CD Pipelines

Security embedded in development workflows - SAST, DAST, SCA, and SBOM generation running in pull request pipelines, high-severity findings blocking merges, and container image scanning before artifacts reach the registry.

Regulated & Compliance-Driven Environments

Security engineering aligned to BFSI, government, and healthcare compliance requirements - CIS hardening with OpenSCAP audit evidence, SOC 2 and ISO 27001 control mapping, audit trail completeness, and automated compliance reporting.

Private & Sovereign Cloud Security

Security architecture for sovereign and air-gapped private cloud deployments - data residency controls, mTLS between all platform components, SELinux-enforced host isolation, Vault-managed secrets, and Falco runtime monitoring for the full platform stack.

Security Operations & Incident Readiness

Standing up security operations capability for platforms that lack it - SIEM integration with Wazuh or Elastic, Falco alert routing, custom detection rule engineering, Sigma rule deployment, and structured incident response runbooks for common threat scenarios.

Business Outcomes

What organisations achieve with PalC security engineering

Stronger security posture through defence in depth

Layered controls across host, network, and application - each layer independently limiting what an attacker can do if another layer is bypassed. Threat modelling ensures controls address real attack paths, not just compliance checkboxes.

Compliance and audit readiness

CIS hardening with OpenSCAP scan evidence, audit log completeness, network policy enforcement records, and SBOM supply-chain documentation - compliance artefacts generated continuously, not assembled manually before audits.

Reduced risk from misconfiguration

Automated hardening with Ansible and OpenSCAP prevents configuration drift - every host and Kubernetes cluster meets the CIS baseline on every run, and deviations are detected and alerted before they become exploitable exposures.

Faster incident detection and response

Falco runtime alerts, SIEM correlation rules, and structured incident response runbooks reduce mean time to detect (MTTD) and respond (MTTR) - security events surfaced in minutes with the context operators need to act.

Security vulnerabilities caught before production

SAST, DAST, and SCA in CI/CD pipelines block high-severity vulnerabilities from merging - developers get findings in pull request comments with remediation guidance, shifting the cost of fixing security issues left by weeks.

Sustainable security operations

Security controls are documented, automated, and maintained as code - runbooks live in version control, hardening is idempotent, and detection rules are reviewed and tuned continuously rather than set-and-forgotten at initial deployment.

Security Operations

Security controls that are monitored, tuned, and continuously improving

PalC builds security observability alongside every implementation - Falco alert pipelines, SIEM dashboards, OpenSCAP compliance reports, and drift detection that make the security posture of every environment visible to both engineering and security operations teams.

  • Falco runtime alert routing and SIEM integration - Falco syscall events forwarded to SIEM via Falco sidekick - Slack notifications for immediate operator awareness, Wazuh or Elastic ingestion for correlation with authentication events and network flows.
  • OpenSCAP continuous compliance scanning - Automated OpenSCAP scans run on a scheduled cadence against the CIS baseline - HTML and XML reports generated per host, failures alerted via Grafana or alerting pipeline, giving a continuous view of hardening drift across the fleet.
  • SIEM detection tuning and false positive reduction - Detection rules reviewed and tuned after every deployment - high-volume low-fidelity alerts suppressed or enriched with context, and new Sigma rules introduced for threats specific to the platform's technology stack.
  • Incident response runbooks and team enablement - Structured runbooks covering container breakout, privilege escalation, lateral movement, data exfiltration indicators, and supply-chain compromise - delivered with tabletop walkthrough sessions for security and platform engineering teams.
Incident Response & SOARRunbooks · SOAR playbooks · PagerDuty
SIEM & Detection RulesWazuh · Splunk · Elastic · Sigma
Runtime & Network TelemetryFalco · Hubble · auditd · NetFlow
Compliance & Vuln ScanningOpenSCAP · Trivy · Dependency-Track
Hardened InfrastructureCIS · SELinux · Cilium · OPA · Vault
Continuously ScannedSIEM-CorrelatedIR-Ready

Ready to strengthen your security posture?

Whether hardening a Kubernetes platform, embedding security into CI/CD pipelines, building SIEM detection capability, or preparing infrastructure for a compliance audit - PalC security engineers can design and implement the right controls.

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