August 12, 2025
5 min read
Investing.com
Rubrik, Inc. (NYSE:RBRK), a company with a $16.6 billion market capitalization, has introduced Agent Rewind, a new solution designed to help organizations reverse unintended actions performed by AI agents. This product follows Rubrik's acquisition of Predibase and aims to address the escalating challenges posed by autonomous AI systems within enterprise environments.
Agent Rewind establishes a thorough audit trail of AI agent activities, enabling companies to trace, audit, and undo undesirable actions taken by artificial intelligence systems. The solution enhances visibility into AI agent behavior and empowers enterprises to roll back changes made to applications and data, thereby mitigating the risk of business downtime stemming from AI errors.
Anneka Gupta, Chief Product Officer at Rubrik, highlighted the significance of this innovation: "As AI agents gain autonomy and optimize for outcomes, unintended errors can lead to business downtime."
The company pointed to recent incidents where AI agent errors caused considerable business disruptions, including technical malfunctions and the accidental deletion of production databases. Current observability tools, Rubrik observes, only reveal what occurred but do not clarify the reasons behind it or how to reverse high-risk actions.
Agent Rewind offers three core capabilities:
Source: Rubrik launches Agent Rewind to undo AI agent mistakes - Investing.com
- Context-enriched visibility: Surfaces agent behavior and maps actions back to their root causes.
- Safe rollback functionality: Utilizes Rubrik Security Cloud to rewind changes to files, databases, and configurations.
- Broad platform compatibility: Supports Agentforce, Microsoft Copilot Studio, and Amazon Bedrock Agents. Chad Pallett, Chief Information Security Officer at BioIVT, lauded the product, stating, "Agent Rewind will close the loop on what happened, why it happened, and how to undo it." The offering integrates Predibase's AI infrastructure with Rubrik's recovery capabilities to address what IDC Research Manager Johnny Yu describes as "non-human error" in AI systems. Rubrik, which brands itself as "the Security and AI company," is publicly traded on the New York Stock Exchange. The company reported a 49% year-over-year revenue increase in its first quarter, surpassing consensus estimates by 7%. Billings grew 53% year-over-year, exceeding expectations by 22%, while subscription annual recurring revenue reached $1.181 billion, marking a 38% increase. In a strategic move to bolster enterprise AI capabilities, Rubrik announced plans to acquire AI platform Predibase, subject to customary closing conditions. Additionally, Rubrik is expanding its data protection services to encompass Amazon DynamoDB and enhanced support for Amazon RDS for PostgreSQL, offering immutable protection by default. FBN Securities analysts increased Rubrik’s stock price target to $100 from $80, maintaining an Outperform rating due to the company’s strong financial performance. Furthermore, Rubrik plans to offer $1 billion in Convertible Senior Notes due 2030 in a private placement to qualified institutional buyers, with an option to purchase an additional $150 million in notes. These notes will mature on June 15, 2030, with interest payable semiannually and conversion terms allowing payment in cash, shares, or a combination thereof. Rubrik’s expansion of services and strategic acquisitions underscore its continued growth and adaptation within the cybersecurity and AI sectors.
- AI Agents: Capabilities, Risks, and Growing Role
- Top AI Crypto Coins to Watch in 2025
Frequently Asked Questions (FAQ)
Rubrik's Agent Rewind
Q: What is Agent Rewind and what problem does it solve? A: Agent Rewind is a new solution from Rubrik designed to help organizations undo unwanted actions performed by AI agents. It addresses the growing challenge of errors or unintended consequences caused by autonomous AI systems in enterprise environments. Q: How does Agent Rewind work? A: Agent Rewind creates a comprehensive audit trail of AI agent activities, allowing companies to trace, audit, and reverse undesired actions. It provides context-enriched visibility and uses Rubrik Security Cloud for safe rollback capabilities. Q: What are the key capabilities of Agent Rewind? A: The key capabilities include context-enriched visibility to map actions to root causes, safe rollback functionality to reverse changes, and broad platform compatibility with systems like Agentforce, Microsoft Copilot Studio, and Amazon Bedrock Agents. Q: What kind of AI agents does Agent Rewind support? A: Agent Rewind supports Agentforce, Microsoft Copilot Studio, and Amazon Bedrock Agents. Q: What was the business impact mentioned in the article that Agent Rewind aims to address? A: The article mentions incidents where AI agent errors caused significant business disruptions, including technical malfunctions and accidental deletion of production databases.Crypto Market AI's Take
The introduction of solutions like Rubrik's Agent Rewind highlights a critical, often overlooked, aspect of the rapidly evolving AI landscape: the need for robust governance and recovery mechanisms for autonomous AI agents. As AI systems become more integrated into business operations and gain greater autonomy, the potential for errors that could lead to downtime or data corruption increases significantly. This trend mirrors the increasing complexity and interconnectedness seen in the cryptocurrency markets, where sophisticated algorithms and decentralized autonomous organizations (DAOs) also require strong control and auditability. Our platform, crypto-market.ai, aims to provide similar levels of clarity and control for financial markets, offering AI-powered insights and trading tools designed for responsible and efficient operation. Understanding how AI errors can be managed and reversed is paramount, just as understanding the security protocols and risk management strategies is crucial in the crypto space.More to Read:
Source: Rubrik launches Agent Rewind to undo AI agent mistakes - Investing.com