Introduction
The rapid proliferation of generative AI has turned the creation of intelligent agents into a strategic priority for many enterprises. Yet the promise of these agents is tempered by the need to safeguard data, enforce policy, and maintain compliance across complex cloud environments. Zenity, a leading platform for AI agent security and governance, has announced native support for Amazon Bedrock AgentCore, the foundational framework for building AI agents on AWS. This integration, coupled with availability on the AWS Marketplace, empowers organizations to design, deploy, and manage home‑grown agents with unprecedented visibility and control. In this post we explore how Zenity’s capabilities dovetail with Bedrock’s capabilities, the practical benefits for businesses, and the broader implications for secure AI development.
Building Secure AI Agents with Zenity
Zenity’s core offering is a policy‑driven security layer that sits between the AI model and the data it consumes. By intercepting every request and response, the platform enforces rules that can block, redact, or transform content in real time. When integrated with Amazon Bedrock AgentCore, this layer becomes part of the agent’s execution pipeline, ensuring that every interaction—whether a user query or an internal data fetch—undergoes the same rigorous scrutiny. The result is a consistent security posture that scales with the agent’s complexity.
One of the most compelling aspects of this integration is the ability to define fine‑grained data‑access policies that are automatically enforced by Bedrock’s runtime. For example, a financial institution can restrict an agent’s ability to retrieve customer account balances to a specific set of authorized services, while simultaneously ensuring that any sensitive information returned is masked before it reaches the end user. Because Zenity’s policies are declarative, they can be versioned, audited, and rolled back without modifying the agent’s code, a feature that is invaluable for regulated industries.
Governance Across the AWS Ecosystem
Beyond security, governance is a critical component of responsible AI. Zenity’s governance engine tracks the provenance of data, logs every transformation, and provides a searchable audit trail that satisfies compliance frameworks such as GDPR, CCPA, and HIPAA. When deployed on Bedrock, these logs are automatically correlated with AWS CloudTrail and CloudWatch metrics, giving a single pane of glass into the agent’s operational health.
The integration also leverages Bedrock’s native role‑based access control (RBAC) to enforce organizational policies. By tying Zenity’s policy engine to AWS Identity and Access Management (IAM), administrators can ensure that only authorized users can modify agent behavior or policy rules. This tight coupling eliminates the risk of accidental policy drift and provides a clear audit path for security reviews.
Real‑World Use Cases
Consider a multinational retailer that uses Bedrock to power a customer‑facing chatbot. The chatbot must access inventory data, order history, and personalized recommendations—all of which are stored in different AWS services such as DynamoDB, S3, and Redshift. With Zenity, the retailer can enforce that the chatbot only reads from read‑only replicas, that any personal data is tokenized before being processed, and that the chatbot’s responses are automatically scanned for policy violations. The result is a chatbot that delivers a seamless customer experience while remaining compliant with data‑privacy regulations.
Another example comes from the healthcare sector, where Bedrock agents are used to triage patient inquiries. Zenity’s policy engine can be configured to block any request that attempts to access protected health information (PHI) unless the requester has the appropriate HIPAA clearance. Moreover, the platform can redact PHI from the agent’s output before it is sent to the patient, ensuring that sensitive data never leaves the secure environment.
Compliance and Risk Management
A common challenge in AI adoption is the “black box” nature of model outputs. Zenity addresses this by providing a transparent policy layer that can be audited independently of the underlying model. Because the policies are expressed in a high‑level language, compliance officers can review them without needing deep technical expertise. Additionally, Zenity’s continuous monitoring detects anomalous behavior—such as a sudden increase in policy violations—and triggers alerts that can be escalated to security teams.
Risk management is further enhanced by Zenity’s ability to simulate policy changes before they go live. Enterprises can run a sandbox environment where new rules are tested against a representative dataset, allowing teams to gauge the impact on agent performance and user experience. This proactive approach reduces the likelihood of costly post‑deployment fixes.
Future Outlook
The partnership between Zenity and Amazon Bedrock signals a broader industry trend toward embedding security and governance directly into the AI development stack. As generative models become more powerful, the need for robust policy enforcement will only grow. Zenity’s native Bedrock support positions it as a first‑class citizen in the AWS ecosystem, enabling developers to focus on building innovative agents while relying on a proven security framework.
Looking ahead, we can anticipate further enhancements such as automated policy generation based on usage patterns, integration with third‑party compliance tools, and expanded support for multi‑model orchestration. For organizations that want to stay ahead of regulatory requirements while unlocking the full potential of AI, Zenity’s Bedrock integration offers a compelling solution.
Conclusion
The launch of native security and governance for Amazon Bedrock AgentCore by Zenity marks a significant milestone in responsible AI deployment. By weaving a declarative policy engine into the heart of Bedrock’s agent framework, Zenity delivers a unified approach to data protection, compliance, and risk mitigation. Enterprises across finance, retail, healthcare, and beyond now have a clear path to build, deploy, and manage AI agents that are both powerful and trustworthy. As the AI landscape continues to evolve, solutions that combine technical excellence with rigorous governance will be essential for sustainable innovation.
Call to Action
If your organization is exploring generative AI or already using Amazon Bedrock, consider evaluating Zenity’s security and governance platform to safeguard your agents and satisfy regulatory demands. Reach out to our team to schedule a live demo, review a tailored policy framework, or discuss how Zenity can integrate with your existing AWS environment. Empower your AI initiatives with the confidence that comes from built‑in security and governance—because the future of intelligent agents depends on trust as much as on technology.