Generative AI | News, how-tos, features, reviews, and videos
Business leaders appear to have lost control over the deployment of generative AI despite just 28% of organizations expressly permitting its use.
Security leaders’ concerns about generative AI’s potential to create more sophisticated email attacks are well justified.
With the new AI algorithms, organizations will be able to streamline audit workflows and automate various risk management and compliance programs.
Including security concerns at the beginning of any generative AI adoption discussion is key, but meanwhile the good news is cybersecurity budgets for AI are rising.
New generative AI capabilities are coming to security and compliance vendor Vanta’s main platform, adding a layer of automation to compliance tasks.
NCC Group report claims machine learning models show strong promise in detecting novel zero-day attacks.
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.