Developers should be able to move fast and trust the code their AI tools generate. Sparkle builds that confidence by bringing the organisation’s security policies, application context and secure coding guidance directly into tools developers already use, such as Cursor and Claude Code. Requirements such as access permissions, sensitive data and other security controls help […]
A security requirement sitting in a document cannot protect a customer. Each of these requirements need to shape how the application gets built, validated and deployed. Sparkle connects that journey. We identify risks during design, turn the resulting security decisions into guidance for developers and AI coding tools, and review code changes against those expectations. […]
AI has made an already difficult problem move much faster. A small team can generate 100X more code, but someone still needs to understand what that code can access, what it exposes and what could go wrong. Code can work exactly as requested and still be insecure. The opportunity is to use AI to strengthen […]
Our conversations are bringing the practical questions into focus: what will the platform access, how will it fit existing workflows, and how can teams demonstrate that security requirements are being followed? Those questions matter as much as the technology. Organisations need confidence that adopting AI will work within their operating and governance requirements. In Indonesia, […]
IndoSec gives leaders a place to compare experiences, challenge vendor claims and see what they could apply within their own organisations. With AI changing how software is built, those conversations are especially valuable. What should companies allow AI agents to do? Which decisions still require human approval? What evidence gives leadership confidence that the right […]
