Cyber Security

Seemplicity Introduces Seema for Conversational Exposure Intelligence

Seema transforms how security teams interact with exposure data by converting complex questions into real-time answers based on live operational insight

Seemplicity today announced the launch of Seema, an AI-powered conversational assistant that makes it easier for cybersecurity teams to gain clarity on their exposure management posture. Seema is paired with Seemplicity’s Agentic Exposure Action Platform, the first platform to connect high-volume security signal data with an agentic workforce that turns findings into fixes.

Security teams do not suffer from a lack of data; they suffer from a lack of clarity. Critical questions about exposure, remediation progress, and service-level agreement (SLA) performance are often buried across disparate dashboards and disconnected views. Getting answers typically requires deep platform expertise, manual analysis, and time most teams simply do not have. Seema and Seemplicity’s AI agents bridge this gap.

“As attackers use AI to rapidly identify and exploit exposures, visibility without action won’t cut it,” said Ravid Circus, co-founder and chief product officer of Seemplicity. “We introduced AI agents to take on the operational burden of exposure management. Now, we’re putting that intelligence directly in users’ hands. Teams can ask real questions and get clear answers grounded in their own data. Too many tools require you to know exactly what you’re looking for before you can even ask. With Seema, you simply ask.”

Seema introduces a conversational interface to Seemplicity’s production-ready AI agents for exposure management. This extends the value of current security tools and vulnerability management teams by automating prioritization, routing, and remediation workflows at scale. Seema’s natural-language interface to exposure intelligence provides teams a faster, more intuitive way to understand what’s the fix, where’s the fix, who’s the fixer, and why the fix matters.

Business Wire

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