On December 2, Panaseer, a leader in Continuous Controls Monitoring (CCM), announced the Panaseer IQ Suite, a new family of GenAI-powered tools designed for organizations who are facing growing attack surfaces and attackers using AI to increase their reach and focus. By turning cybersecurity controls data into actionable remediation across the enterprise, the IQ suite empowers security teams to take a more proactive, risk-driven approach.
The IQ Suite builds on the Panaseer Continuous Controls Monitoring (CCM) platform’s existing capability to measure hundreds of metrics and control domains. Using generative AI, the IQ Suite explains changes to risk metrics, why they matter, and gives comprehensive next steps in natural language.
Remediation advice for each metric, dashboard and scorecard includes a forecast of any action’s impact on the organization’s overall risk profile. This gives security teams a clear path to pre-emptive risk management – continuously surfacing and closing the control gaps driving risks before they can be exploited – and the ability to proactively fight back against an evolving threat and regulatory landscape.
“As cyber programs scale, the constraint isn’t data anymore – it’s the capacity to turn that data into aligned, defensible decisions,” said Marc Moesse, chief product officer at Panaseer. “Our customers and the wider market are clear: they need to spend less time debating cybersecurity data and more time reducing risk. IQ Suite is our answer to that challenge. It takes the single system of record Panaseer already provides and layers it with context and solutions. This acts as a force multiplier so security teams can make smarter, faster, data‑driven decisions and focus their efforts where it really matters.”
The IQ Suite applies the same GenAI-powered interpretation engine across Panaseer’s metric, dashboard and scorecard views, so every user sees guidance that fits their role, anchored in a single, consistent source of truth. For each view, the product automatically summarizes recent performance, highlights trends and anomalies, and generates contextual recommendations tied to business priorities and control objectives.
“As environments become more complex and regulated, security teams face competing priorities while attackers use AI to automate reconnaissance and launch targeted campaign,” Moesse continued. “Teams are left reactive and exposed as boards push for clearer, data-driven assurance on cyber and AI risk, but they don’t have the resources to continuously monitor controls performance or prioritize remediation. At all levels organizations need a single, trusted system of record that allows stakeholders to align on acceptable risk and accurately assign responsibility and accountability. This is a vital first step in using AI-driven insights to identify and address the most critical issues, reducing risk rapidly and efficiently.”
Source: Panaseer
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