Amazon Web Services (AWS) unveiled a suite of new agentic AI capabilities at its New York City summit, aimed at automating enterprise workflows and security operations. The updates, led by AWS VP of Agentic AI Swami Sivasubramanian, focus on integrating live web data into AI agents, automating software security patches, and providing businesses with tools to monetize AI-bot traffic through AWS WAF.
How AWS is expanding agentic AI capabilities
AWS is shifting its focus toward "agentic" AI, which involves systems capable of executing multi-step tasks rather than simply generating text. According to the official AWS announcement, the company is rolling out new features for Amazon Bedrock, its platform for building generative AI applications.
A primary addition is the Managed Knowledge Base for Bedrock, which automates data preparation using "Smart Parsing." This allows developers to build Retrieval-Augmented Generation (RAG) pipelines that connect to organizational data without managing the underlying infrastructure. Additionally, AWS introduced Web Search for Bedrock agents, allowing models to ground responses in real-time internet data while keeping the traffic within a secure, private AWS environment.
What is AWS Continuum and how does it secure code?
AWS is targeting software supply chain security with the introduction of AWS Continuum. This service is designed to identify vulnerabilities in code and automate the remediation process. According to AWS, the system prioritizes threats based on their actual business impact rather than just technical severity.
The platform includes:
- Threat Modeling: A preview feature using the STRIDE framework to identify application-level threats.
- Automated Remediation: The ability to scan repositories and generate pull requests to fix security flaws automatically.
- IDE Integrations: Plugins for tools like Claude Code and MCP, allowing developers to run security reviews without switching between applications.
How content owners can monetize AI traffic
In a move to address the proliferation of AI scrapers, AWS updated its Web Application Firewall (WAF) to include bot monetization features. Content providers and publishers can now use AWS WAF to set prices for AI bots accessing their data.
By using the updated Bot Control capability, publishers can meter traffic and collect payments from AI agents at the edge. This provides a mechanism for site owners to manage the costs associated with large-scale data harvesting by AI models, a recurring friction point in the current digital ecosystem.
Why these updates matter for enterprise development
The industry is moving away from simple chatbots toward autonomous agents that can perform work. By integrating these tools into the Bedrock ecosystem, AWS is attempting to lower the barrier to entry for companies that lack the resources to build custom orchestration loops.
| Feature | Primary Function | Target User |
|---|---|---|
| Managed Knowledge Base | Automates RAG pipelines | Enterprise Data Teams |
| Web Search for Bedrock | Real-time data grounding | AI Application Developers |
| AWS Continuum | Automated security patching | DevOps and Security Engineers |
| WAF Bot Control | Traffic monetization | Content Publishers |
These tools, many of which are currently in preview or gated release, signal a broader push by AWS to consolidate AI development within its own cloud infrastructure. As organizations look to scale AI from experimental pilots to production-grade tools, the ability to govern, secure, and monetize these agents will likely become a standard requirement for enterprise cloud architecture.