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Hacks of the Pentagon's Defense Manpower Data Center and the FBI within a month exposed sensitive personnel records of millions, including Social Security numbers and intelligence-related job titles that could be exploited by criminal groups or foreign adversaries.
Chinese laboratories are reportedly sending sensitive data, including information on individuals, companies, and governments, to the AI company Anthropic.
Respan introduces P-1, a new privacy model that eliminates tradeoffs between accuracy, latency, and cost by detecting and redacting sensitive information, setting a new state of the art.
The author raises concerns about who controls data access for AI agents, questioning if there are established governance architectures, and shares a repo to explore the problem.
The article discusses the challenges and approaches to designing access control for AI agents, focusing on task-based permissions and automated governance.
Google Cloud Tech demonstrates Model Armor, a centralized safety layer that protects multi-agent AI systems from indirect prompt injections, malicious URLs, and sensitive data leaks, with a hands-on lab.
Protegrity is hosting a U.S.-only virtual hackathon challenging developers to build AI applications that securely handle sensitive data, with a $10k top prize.
LangChain announces that LangSmith LLM Gateway can redact sensitive data like SSNs from requests before they reach LLM providers or logs, enhancing privacy and security.