Services
Secure software, cloud and product decisions
Grounded in how modern technology is actually designed, built and operated — not abstract control catalogues.
What this covers
Software and product engineering
Security across requirements, architecture, coding, build, testing, deployment and operation — grounded in how modern software and SaaS products are actually delivered.
Cloud, platform and supply chain
Cloud architecture, identity, CI/CD, containers, secrets, dependencies and the software supply chain behind modern product delivery.
Architecture and secure design
Practical challenge around trust boundaries, data flows, attack paths, permissions and important technology decisions before they become expensive production problems.
AI-accelerated engineering
Secure adoption of AI coding assistants and engineering agents, with attention to permissions, source code, intellectual property, developer environments, dependencies and human oversight.
JandaSec works across software, SaaS, cloud, product and engineering environments, bringing together security judgement with practical technical understanding.
Modern engineering is increasingly accelerated by automation and AI. Developers and engineering agents can now generate code, install dependencies, interact with repositories, execute commands and work across cloud environments. Security needs to evolve with that reality without getting in the way of good engineering.
The aim is not to impose a separate security process on technology teams. It is to help engineering, product and technology leaders make better decisions, identify weaknesses earlier and build security into normal delivery.
Typical focus
- Secure Software Development Lifecycle design and improvement
- Software, SaaS and product security architecture
- Threat modelling and secure-by-design decision-making
- Cloud, identity and privileged-access design
- API and integration security
- Secure coding and code-review practices
- Continuous integration and delivery, build pipeline and developer environment security
- Open-source, dependency and software supply-chain security
- Secrets, credentials and intellectual-property protection
- Security testing, vulnerability management and engineering feedback loops
- AI-assisted development and engineering-agent governance
- Software-assurance maturity and improvement using approaches such as OWASP SAMM
- Targeted security training for developers, architects, product teams and technology leaders
Security embedded into engineering
Security works best when it becomes part of normal engineering rather than a separate exercise. JandaSec helps organisations move useful security controls into the places where technology teams already work — design discussions, repositories, code review, build pipelines, cloud environments and operational workflows.
That increasingly includes AI-assisted engineering. The goal is to gain the speed and productivity benefits of modern development tools while keeping source code, intellectual property, credentials, dependencies and high-impact actions appropriately governed.
Security testing should also become more continuous. Automated and AI-assisted analysis can increase coverage and frequency between specialist reviews and penetration tests, helping engineering teams find and fix weaknesses earlier.
Good software security is not a document, a scanner or an annual penetration test. It is the accumulation of good decisions across product, engineering, architecture, delivery and operations.
Strategy only works when it survives contact with the technology and the people who operate it.