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Grab has implemented LLM-Kit, a framework that standardizes over 500 internal agent services.
Summary
This system enhances service integration, evaluation, and secret handling, reducing the time to deploy new AI agents from two weeks to one hour. It centralizes infrastructure management, allowing runtime tool discovery and flexible model integration, while maintaining operational control.
This is a brief wire summary — the full story (linked below) has the complete details.
KazaSec's take
AI-related security incidents are a genuinely new category — prompt injection, model manipulation, and data leakage through an LLM integration don't map cleanly onto traditional application security testing, and are worth assessing deliberately rather than assuming existing controls already cover them.
Coverage details
We've archived 176 other articles touching the same topic (agents, ml & data engineering, news) — see the full security news archive.
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