BigID has announced Agentic AI Remediation to automate AI-driven remediation activities, help security teams act faster, and reduce risk across the cloud, SaaS, and on-prem environments with speed and precision. The solution addresses alert fatigue from the wave of millions of risky data objects surfacing by pairing BigID’s discovery, classification, and risk intelligence with agentic AI to prioritize high-impact issues for actionable insights. Organizations can now automatically analyze and rank their risky data objects based on sensitivity, access exposure, data type, and business context while gaining AI-generated recommendations explaining why an object is high-risk, and what steps to take.
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They can immediately withdraw access, quarantine data, mask sensitive attributes, delete redundant or ROT data, or assign tasks to the right data owners. Besides, they can consolidate the alerts and reduce the noise at operations. “BigID is changing how organizations operationalize data security,” said Nimrod Vax, Chief Product Officer and Co-Founder at BigID. “With Agentic AI Remediation, we’re not just surfacing risks; we’re giving teams a clear, automated path to reduce them.” This sets BigID on track to modernize security operations and help enterprises keep pace with emerging data risks in the era of AI.