Secure Software Engineering

RESCOR is one of the few security consulting firms with extensive software-engineering experience. That combination matters: security work without engineering depth ends in audit-friendly but unshippable recommendations, and engineering work without security depth ends in shippable software that leaks. RESCOR does both.

Secure Software Development

Every organization has custom software — a dynamic web application, an internal tool, a complex enterprise integration. The question is whether you control that software or it controls you. Security is not something that can be bolted on after the fact; it has to be part of every phase. RESCOR's Secure Software Development Lifecycle (SSDLC) is the same RAPID methodology applied to software: short cycles, lightweight security reviews at each one, and no heavyweight gates that stop the team from shipping.

Inside each cycle, the security practices are the practical ones:

  • DevSecOps — security testing automated in the CI/CD pipeline so vulnerabilities surface before they reach production, not at the annual pentest.
  • Threat modelling — attack surfaces and trust boundaries identified during design rather than after deployment.
  • Secure code review — automated static analysis (SAST) paired with expert manual review, because each catches classes of bug the other misses.
  • Dependency and supply-chain management — continuous monitoring of third-party libraries, SBOM generation, and supply-chain-risk tracking.
  • Rigorous version and change control, automated test suites, complete documentation, and ongoing maintenance — the un-glamorous engineering practices that make the rest of it stick.

Cloud, Multi-Cloud, and Hybrid

RESCOR has twenty years of cloud deployment experience across every major provider and across hybrid architectures that span on-premise and cloud. The bias is practical: cloud-native where it pays, multi-cloud where lock-in would hurt, on-premise where regulation or latency demands it, and the integration between them treated as a first-class design problem.

  • Cloud-native application architecture and deployment on AWS, Azure, and GCP.
  • Multi-cloud and hybrid strategies that avoid vendor lock-in without forcing the lowest common denominator.
  • Containerisation and orchestration (Docker, Kubernetes) with security baked into the image-build and admission-control pipelines.
  • Serverless architecture design where the economics and latency suit it.
  • Cloud security architecture and compliance for regulated workloads.
  • Forensic analysis of compromised cloud systems — one of the harder engagement types, worth having someone who has done it before.
  • Cost reduction and service optimization. Cloud bills that nobody's read in eighteen months are unambiguously wasteful; we read them.

IBM Z and IBM Power Systems

"Legacy" is the wrong word for either of these platforms. IBM Z (the modern mainframe family) and IBM Power Systems (the modern descendant of the AS/400 line, running IBM i) are as current as any microprocessor platform on the market — and in many workloads they are more reliable, more secure, and more powerful. What's legacy is the assumption that "old" means "obsolete."

RESCOR's experience with IBM Z (z/OS, z/VM, Linux on Z) and IBM Power Systems (IBM i, the modern AS/400) spans programming, system administration, security assessment, and modernization planning. For clients whose mission-critical workloads run on either platform, we keep them secure, measurable, and maintainable, and help extend their reach into web, cloud, and microservice architectures without forcing a rip-and-replace.

AI Integration

Integrating AI and machine learning into products and processes is where most organizations are now spending the most engineering effort, and where most organizations are currently making the most mistakes. RESCOR brings the security perspective that most AI implementations lack — governance, risk management, data-privacy controls, and the auditability required to prove any of it later.

For AI applied to risk assessment itself, see ATRA — the RESCOR platform that pairs STORM with AI-driven data gathering.

Supported Platforms

RESCOR specializes in heterogeneous environments. A typical client runs a mix of cloud-native microservices, Windows and Linux virtual machines, Intel and ARM bare metal, and — frequently — a piece of mission-critical work that still lives on a mainframe.

Operating Systems

  • Linux (all major distributions)
  • Windows Server and Desktop
  • macOS
  • IBM z/OS and z/VM on IBM Z
  • IBM i on IBM Power Systems
  • … and many more

Cloud Platforms

  • Amazon Web Services (AWS)
  • Microsoft Azure
  • Google Cloud Platform (GCP)
  • Hybrid and multi-cloud architectures

Programming Languages

  • Java, JavaScript / TypeScript, Python
  • Go, C, C++
  • HTML, CSS, React
  • COBOL, RPG (IBM Power Systems)
  • IBM z Assembler, REXX (IBM Z)
  • … and many more

Database Platforms

  • PostgreSQL, MySQL / MariaDB
  • IBM Db2 (on Z and Power)
  • Amazon Aurora, RDS, and Neptune
  • Neo4j graph database
  • MongoDB
  • … and many more

Graph Databases

RESCOR recommends evaluating graph databases (Neo4j, Amazon Neptune) as alternatives to relational databases in domains where relationships between entities are as important as the entities themselves. Identity and access management, fraud detection, network-topology analysis, supply-chain mapping, and risk modelling all fit that pattern. In security work specifically, graph databases are the right tool for mapping attack paths, correlating threat intelligence, and modelling organizational risk hierarchies — which is why ATRA is built on one.

Further Reading

  • RAPID methodology — the engagement framework applied to SGRC and software lifecycle alike.
  • Security testing services — application testing, code review, and vulnerability assessment of deployed software.
  • ATRA — AI applied to quantitative risk assessment.

To discuss an engineering engagement, use the contact page.