Skills & Expertise

Container & Orchestration Security

Securing container and Kubernetes ecosystems end-to-end — from hardening orchestration layers and microservices architecture to embedding security throughout the cloud-native development lifecycle.

What's Included

• Design and hardening of Kubernetes clusters including control plane configuration, RBAC policies, network policies, pod security standards, and node-level attack surface reduction.

• End-to-end security architecture for microservices environments: service mesh configuration, mTLS enforcement, secret management, and inter-service authorization.

• Container image security across the full supply chain — from base image hardening and Dockerfile best practices to registry scanning and runtime threat detection.

• Orchestration security assessments covering misconfigured pod security contexts, overprivileged service accounts, exposed Docker sockets, and container escape vectors.

• Embedding security into cloud-native development lifecycles via admission controllers, policy-as-code frameworks, and automated scanning gates in CI/CD pipelines.

• Scalable platform security architecture designed to grow with engineering teams without becoming a bottleneck — security as an enabler, not a blocker.

Source Code Reviews

In-depth static analysis and manual code reviews to identify security flaws, logic errors, and insecure coding patterns at the source level.

What's Included

• Manual and automated static application security testing (SAST) across multiple programming languages including Python, Java, Go, and JavaScript.

• Identification of insecure cryptographic implementations, hardcoded secrets, injection sinks, and unsafe deserialization.

• Review of authentication and authorization logic, session management, and data validation routines.

• Integration guidance for secure SDLC practices, including CI/CD pipeline security gates.

• Developer-friendly findings with annotated code snippets and concrete fix recommendations.

Security Testing

End-to-end security testing across web, API, and cloud environments using industry-standard methodologies.

What's Included

• API security testing including REST, GraphQL, and gRPC endpoints for authentication flaws, rate limiting bypass, and data exposure.

• Cloud-native security testing on AWS covering IAM misconfigurations, S3 bucket policies, Lambda functions, and container security.

• Network-layer testing including firewall rule analysis, port scanning, and protocol-level vulnerabilities.

• Automated regression security testing integration into CI/CD pipelines for continuous assurance.

• Threat modeling sessions using STRIDE and PASTA methodologies to proactively identify risks early in development.

Cyber Security Auditing

Thorough security audits aligned with compliance frameworks including SOC 2, ISO 27001, CIS Benchmarks, and AWS Well-Architected.

What's Included

• AWS Well-Architected Framework security pillar reviews with detailed gap analysis and remediation roadmaps.

• CIS AWS Foundations Benchmark assessments with automated and manual validation of over 50 controls.

• SOC 2 Type II readiness assessments covering security, availability, and confidentiality trust service criteria.

• ISO 27001 audit support including risk register development, control mapping, and evidence collection.

• Cloud governance audits covering tagging policies, resource management, logging, and monitoring configurations.

AI/ML Penetration Testing

Specialized adversarial testing of AI and machine learning systems, including LLM security, prompt injection, and model integrity assessments.

What's Included

• Prompt injection and jailbreak testing of Large Language Models (LLMs) deployed in production environments.

• Model inversion and membership inference attack simulation to assess data leakage risks.

• Testing of AI-powered applications for indirect prompt injection via retrieval-augmented generation (RAG) pipelines.

• Evaluation of agentic AI systems for tool misuse, privilege escalation through tool calls, and unintended action execution.

• AI supply chain security review covering model provenance, training data integrity, and third-party model risks.

Vulnerability Assessments

Systematic identification, classification, and prioritization of security vulnerabilities across cloud infrastructure, networks, and applications.

What's Included

• Comprehensive vulnerability scanning of cloud infrastructure, containers, and virtual machines with false-positive triage.

• Risk-based vulnerability prioritization using CVSS scores, exploit availability, asset criticality, and business context.

• Continuous vulnerability management program design including SLA definition, ticketing integration, and KPI tracking.

• Attack surface mapping and external exposure analysis to identify unknown and shadow IT assets.

• Executive and technical reporting with trend analysis, risk scoring, and remediation progress tracking.