Rubrik Announces Upcoming Integration with Amazon Bedrock AgentCore to Secure AI Agents

Key Terms

llm technical

A large language model (LLM) is an advanced computer system trained on vast amounts of written text to understand and generate human-like language, similar to a very fast, well-read assistant that can summarize documents, draft messages, or answer questions. Investors care because LLMs can speed up research, automate customer support, and reduce costs, while also creating new product opportunities and risks around accuracy, bias, and regulatory oversight that can affect a company’s performance.

autonomous agents technical

Autonomous agents are software programs that carry out tasks and make decisions on their own using predefined rules and data, often improving over time by learning from outcomes; think of them as trusted employees that act without being constantly supervised. Investors care because these agents can boost productivity and cut costs, enable new services or revenue streams, and change competitive dynamics, while also introducing operational, legal and oversight risks that can affect a company's value.

ai governance engine technical

An AI governance engine is a software system that applies rules, monitoring and controls to how artificial intelligence models are built, tested and used across a business. It acts like a traffic-control center for AI—tracking who can use which models, checking outputs for safety and bias, and keeping logs for audits—so investors can judge whether a company is managing regulatory, legal and reputational risks while getting reliable value from its AI investments.

policy engine technical

A policy engine is software that applies a defined set of rules to make automated decisions—like approving transactions, enforcing regulatory requirements, or routing internal workflows—without needing a human to intervene. Investors care because it shapes how reliably and quickly a company follows laws and runs operations: a well-designed policy engine reduces mistakes and costs, speeds service, and lowers regulatory risk, while a poor one can create compliance failures and unexpected expenses.

guardrails technical

Guardrails are clear limits or rules set by companies, regulators, or boards to keep activities within a safe, predictable zone—like the guardrails on a highway that prevent a car from veering into danger. For investors they matter because these boundaries shape a business’s risk profile, decision-making freedom, and likelihood of regulatory problems, which in turn affect future cash flows, stability, and valuation.

ai agents technical

AI agents are computer programs designed to perform tasks or make decisions automatically, often by learning from data and adapting to new information. They act like virtual assistants or robots that can handle complex activities without human intervention, which can help businesses and individuals save time and improve efficiency. For investors, AI agents matter because they can enhance decision-making and automate processes that influence markets and financial outcomes.

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NEW YORK--(BUSINESS WIRE)-- AWS Summit -- Rubrik (NYSE: RBRK), the Security and AI Operations company, announced today its upcoming Rubrik Agent Cloud (RAC) integration with Amazon Bedrock AgentCore. The upcoming integration reflects Rubrik's commitment to extending the security controls customers already trust into agentic workflows.

Amazon Bedrock AgentCore is the platform to build, connect, and optimize agents at scale. Through its policy engine, AgentCore enforces real-time, deterministic controls at the gateway across all agent traffic, including agent-to-tool, agent-to-LLM and agent-to-agent communications.

With this upcoming integration, Rubrik helps customers accelerate and secure the deployment of AI agents on AWS with a critical layer of semantic governance and operational resilience powered by Rubrik’s real-time, intent-based guardrails that feed into the AgentCore policy. AgentCore acts on those signals at the gateway, outside the agent's reasoning loop, so enterprise security teams can apply Rubrik's detection alongside deterministic, automated enforcement. Because detection can be probabilistic, but enforcement stays deterministic, customers gain consistent allow-or-deny decisions on every agent’s action.

Organizations using Amazon Bedrock AgentCore will be able to leverage these core Rubrik Agent Cloud capabilities:

• SAGE: The industry’s leading AI governance engine designed to secure and control autonomous agents in real time. SAGE powers RAC, replacing static, manual oversight with intent-driven governance to safely scale the enterprise AI workforce while maintaining comprehensive control over agent behavior.
• Agent Inventory: Autodiscover agents running on Amazon Bedrock AgentCore runtime with 360° visibility into risk, access permissions and policy violations.
• Agent Rewind: Instantly and precisely undo an autonomous agent’s destructive action.
• Unified AI Control Pane: Seamlessly integrates with Amazon Bedrock AgentCore, enabling administrators to manage AI security policies from the same Rubrik platform as AWS and hybrid cloud data.

"Speed has always been the enterprise mandate, but today, safety is the prerequisite," said Devvret Rishi, General Manager AI, Rubrik. "Cybersecurity leaders estimate that in the next year, half or more of attacks they face will be driven by agentic AI. Rubrik’s upcoming integration with AWS Bedrock AgentCore gives enterprises the confidence to deploy AI agents quickly with trustworthy governance."

The upcoming integration with Amazon Bedrock AgentCore is Rubrik's latest advancement in securing AI workloads for AWS customers. Existing RAC customers will be able to connect their policies to AgentCore and seamlessly apply SAGE native language policies and block risky actions.

Visit the Rubrik booth (#242) at the AWS Summit in New York on June 17, to learn more about Rubrik Agent Cloud with AgentCore or visit here.

About Rubrik

Rubrik (NYSE: RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes. For more information, please visit www.rubrik.com and follow @rubrikInc on X (formerly Twitter) and Rubrik on LinkedIn.

SAFE HARBOR STATEMENT: Any unreleased services or features referenced in this document are not currently available and may not be made generally available on time or at all, as may be determined in our sole discretion. Any such referenced services or features do not represent promises to deliver, commitments, or obligations of Rubrik, Inc. and may not be incorporated into any contract. Customers should make their purchase decisions based upon services and features that are currently generally available.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260617107817/en/

Media Contact:
Meghan Fintland
Head of Global PR
925.785.9192
press@rubrik.com

Source: Rubrik