#data-loss-prevention

#data-loss-prevention

HoundDog.ai today made generally available a namesake static code scanner that enables security and privacy teams to enforce guardrails on sensitive data embedded in large language model (LLM) prompts or exposed artificial intelligence (AI) data sinks, such as logs and temporary files, before any code is pushed to production. Company CEO Amjad Afanah said the HoundDog.ai scanner enables DevSecOps teams to embrace a privacy-by-design approach to building applications. The overall goal is to enable organizations to shift more responsibility for privacy left toward application development teams as code is being written, he added.

One corrupt table or misconfigured bucket can stall an entire supply chain run. Fortunately, a clear-headed backup strategy turns that existential threat into a five-minute inconvenience.