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Solution uses the advanced encryption standard algorithm to encrypt sensitive data throughout the generative AI pipeline.
Venafi’s Athena, based on a new large language model (LLM), offers users a natural language interface and provides developers with automated code generation for important integrations.
Generative AI benchmark evaluates the ability of large language models to identify and score cybersecurity threats within cloud logs and telemetries.
The new tools and capabilities include AI-enhanced incident investigation, no-code application development, XDR, and data protection, exposure management, and IT automation features.
The platform is designed to address three security policy challenges commonly faced by businesses.
If organizations want to enjoy the benefits of AI-generated code—software written at blazing speed by the equivalent of junior developers who don’t demand salaries, benefits, or vacations—the chatbots they use will require intense h
The addition of LLM to Sentra’s classification engine allows scanning and classifying sensitive enterprise data like source codes, and employee details.
CI Spark automates the generation of fuzz tests and uses LLMs to automatically identify attack surfaces and suggest test code.
CISOs also say they want better third-party risk management, AI security, and human error/insider risk reduction solutions.
Board members report a heightened sense of panic and unpreparedness amid growing security concerns over generative AI.