News from the AI & ML world
DeeperML
@thenewstack.io
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Emerging tools are revolutionizing AI agent development and management. Databricks recently launched Agent Bricks, a no-code AI agent builder, simplifying the creation process. Complementing this, Google's Gemini Agent Network Protocol offers a framework for intelligent collaboration among AI agents, enabling dynamic communication and task distribution. These advancements signify a move toward more accessible and collaborative AI agent ecosystems.
Vanta has introduced an AI agent designed to automate security compliance workflows, promising to save enterprises significant time on policy management and audit preparation. This agent proactively identifies compliance issues, suggests fixes, and takes action while keeping humans in control. By minimizing human error and automating repetitive tasks, Vanta's AI agent allows security teams to focus on higher-value work, addressing the increasing time organizations spend on compliance, particularly as security risks escalate.
The Vanta AI Agent addresses critical areas that typically consume hundreds of hours of manual work. It automates policy onboarding by scanning documents, extracting key details, and mapping policies to relevant compliance controls. This eliminates bottlenecks associated with manual control mapping and generates policy change summaries, streamlining annual reviews. The use of Gemini models by Google in the Gemini Agent Network Protocol enables automated task distribution, collaborative problem-solving, and enriched dialogue management, making it ideal for complex data analysis and information validation.
References :
Vanta has introduced an AI agent designed to automate security compliance workflows, promising to save enterprises significant time on policy management and audit preparation. This agent proactively identifies compliance issues, suggests fixes, and takes action while keeping humans in control. By minimizing human error and automating repetitive tasks, Vanta's AI agent allows security teams to focus on higher-value work, addressing the increasing time organizations spend on compliance, particularly as security risks escalate.
The Vanta AI Agent addresses critical areas that typically consume hundreds of hours of manual work. It automates policy onboarding by scanning documents, extracting key details, and mapping policies to relevant compliance controls. This eliminates bottlenecks associated with manual control mapping and generates policy change summaries, streamlining annual reviews. The use of Gemini models by Google in the Gemini Agent Network Protocol enables automated task distribution, collaborative problem-solving, and enriched dialogue management, making it ideal for complex data analysis and information validation.
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References :
- thenewstack.io: Databricks Launches Agent Bricks, Its New No-Code AI Agent Builder
- venturebeat.com: Vanta’s AI agent wants to run your compliance program — and it just might
- www.marktechpost.com: How to Build an Asynchronous AI Agent Network Using Gemini for Research, Analysis, and Validation Tasks
Classification:
- HashTags: #AIAgents #DevTools #AIManagement
- Target: AI Developers
- Attacker: AI Developers
- Product: AI Agents
- Feature: AI Agent Development
- Type: AI
- Severity: Informative