Rubrik launches ‘Agent Rewind' AI visibility solution
cybersecurity
firm
Rubrik
on Thursday launched the '
Agent Rewind
' solution, powered by the Predibase artificial intelligence (
AI
) infrastructure, to help organisations gain visibility into
AI agents
and undo any mistakes.
This comes at a time when businesses are turning to GenAI-driven agents, which can interact with their environment and execute tasks, to help achieve certain goals efficiently sans human intervention. However, this has led the possibility of these agents – or software – making inadvertent changes to applications and data, as well as technical malfunctions and legal issues, challenges that Rubrik's solution aims to solve.
'In highly regulated sectors in India such as banking, financial services & insurance (BFSI) and healthcare, maintaining transparency is critical,' said Sathish Murthy, chief technology officer (CTO), India and Asia Pacific and Japan (APJ), Rubrik.
'The introduction of
Agent Rewind
offers enterprises a powerful tool that provides audit trails of AI-driven actions. The ability to safely rewind AI actions will give them the confidence to experiment without fear of irreversible mistakes,' he added.
Rubrik said its Agent Rewind solution makes previously opaque AI actions visible, auditable, and reversible, creating an audit trail and immutable snapshots that facilitate safe rollback. Current observability tools only show what happened, but not why or how to reverse high-risk actions.
"As AI agents gain autonomy and optimise for outcomes, unintended errors can lead to business downtime," said Anneka Gupta, chief product officer at Rubrik. "Agent Rewind integrates Predibase's advanced AI infrastructure with Rubrik's recovery capabilities to enable enterprises to embrace agentic AI confidently.'
According to the research agency International Data Corporation (IDC), while companies are considering investing in AI, they do not take into account the mistakes that AI agents can and will make.
'Agentic AI introduces the concept of 'non-human error,' and as with its human counterpart, organisations should explore solutions that allow them to correct potentially catastrophic mistakes made by agentic AI,' said Johnny Yu, research manager at IDC.
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