Seemplicity, a leader in AI-powered Remediation Operations, has unveiled a significant product update packed with advanced AI features designed to eliminate remediation bottlenecks and speed up resolution times. The release introduces three new capabilities—AI Insights, Detailed Remediation Steps, and Smart Tagging and Scoping—each aimed at simplifying some of cybersecurity’s most complex and time-consuming challenges.
Security teams often face fragmented data, inconsistent tagging, and the heavy manual effort required to turn security findings into effective fixes.
Seemplicity’s latest release addresses these challenges by enabling teams to cut through complexity and drive remediation efficiently.
“Security leaders face fatigue from endless dashboards and generic instructions that fail to drive remediation,” said Ravid Circus, Chief Product Officer and Co-Founder at Seemplicity. “This release puts AI at the center of remediation, offering context-aware answers, clear instructions, and reliable data to eliminate ambiguity and empower security teams to fix, not just find, vulnerabilities.”
AI Insights: Turning Data into Actionable Decisions
Traditional dashboards display static KPIs, often missing hidden inefficiencies. Seemplicity’s AI Insights feature dynamically surfaces bottlenecks and bright spots in remediation workflows, highlighting emerging trends and providing actionable intelligence instantly.
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Key benefits:
Automated, real-time insights with current remediation data
Custom chart creation for reusable, team-specific dashboards
Sharable insights for improved cross-team alignment
Actionable intelligence to overcome “dashboard paralysis”
“AI Insights gives security teams clarity to move from detection to resolution faster than ever before,” added Circus.
Detailed Remediation Steps: Contextual Fixes for Faster Resolution
Knowing what to fix is only half the battle; knowing how to fix it is where teams often get stuck. Seemplicity’s Detailed Remediation Steps provide contextual, asset-specific instructions tailored to existing engineering workflows, whether patching containers, upgrading libraries, or reconfiguring systems.
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Key benefits:
Asset-specific, actionable remediation guidance
Step-by-step instructions aligned with workflows
Reduced resolution times and improved consistency
Smart Tagging and Scoping: Structuring Data at Scale
Smart Tagging and Scoping leverages AI to efficiently analyze and organize security data, mapping relationships to pinpoint business ownership, environments, and other key attributes for precise reporting and effective prioritization.
Key benefits:
Deep nesting of scopes aligned with organizational structures
AI-driven tagging to eliminate duplicates and maintain data hygiene
Faster onboarding with reduced administrative overhead
Clear context for smarter remediation flows.
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Source: prnewswire
