Seemplicity adds AI-powered features to streamline security remediation workflows – News

Security risk reduction and productivity platform provider Seemplicity Security Ltd. today announced major product updates, including three new AI-driven features — AI Insights, Detailed Remediation Steps and Smart Tagging and Scoping — aimed at helping eliminate bottlenecks in the remediation process.

The new updates are designed to help security teams that are overwhelmed by fragmented data, inconsistent tagging and the manual burden of translating findings into fixes. The release helps teams cut through that complexity and confidently move from insight to resolution faster than ever before.

Leading the list, the new AI Insights feature replaces static dashboards with a dynamic, intelligent layer that uncovers hidden inefficiencies in real time. The feature highlights both bottlenecks and areas of strength within an organization’s remediation process, without relying on traditional key performance indicators and manual queries.

AI Insights delivers a constantly updated feed of visual insights tailored to each environment, surfacing emerging trends with a single click and offering immediate, actionable takeaways, according to the company.

Using the feature, teams can generate custom charts for specific workflows, share insights across departments and align faster on key decisions. The platform’s automated intelligence reduces the burden of data interpretation, helping eliminate the “dashboard paralysis” that often slows down remediation efforts.

Detailed Remediation Steps, the second update, offers security teams clear, contextual guidance to accelerate resolution times. Rather than leaving teams to decipher generic instructions, Seemplicity provides asset-specific remediation plans tailored to each finding. The instructions are aligned with existing engineering workflows, whether the task involves patching a container, upgrading a library, or reconfiguring a system.

The idea behind Detailed Remediation Steps is to eliminate one of the biggest pain points in remediation: knowing what to fix but not how to do it. The feature offers step-by-step directions mapped directly to the tools and processes teams already use and, in doing so, removes ambiguity and helps avoid delays.

The third update, Smart Tagging and Scoping, introduces an AI-powered approach to structuring and classifying security data at scale. Recognizing the need for self-organizing platforms, the feature uses machine learning to analyze tag relationships and automatically assign key metadata such as line of business, remediation ownership and environmental context. This enriched classification provides the foundational structure needed for accurate reporting, prioritization and remediation workflows.

Together, Seemplicity says, the news features reflect its continued focus on building the industry’s most intelligent and scalable Remediation Operations platform. By reducing noise, guiding action and improving alignment, the release allows organizations to fix faster and scale with confidence.

“For security leaders, fatigue is everywhere. Fatigue from dashboards, fatigue from generic instructions that don’t help remediate and fatigue from chasing owners and assets to make sure findings are being fixed,” said co-founder and Chief Product Officer Ravid Circus. “This release brings AI to the heart of remediation, guiding teams with context-aware answers, clear remediation instructions and reliable data. It’s about removing ambiguity and helping security teams fix things, not just find them.”

Seemplicity is a venture capital-backed startup that has $32 million in funding. Investors in the company include Glilot Capital Partners LP, NTTVC, Atlantic Bridge Capital, S Capital and Rain Capital.

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