Panaseer launches Key Drivers to combat residual risk drift
First product in new AI Suite analyzes millions of security controls in seconds, delivering rapid root cause analysis and clear insights to accelerate cyber risk management
New York, July 29 2025: Panaseer, a leader in cybersecurity posture management powered by Continuous Controls Monitoring, today announced the launch of Key Drivers, the first AI-powered product within the new Panaseer AI suite.
Key Drivers delivers clear, contextual explanations of what drives risk, helping teams reduce investigation time, accelerate root cause analysis, streamline reporting, and simplify audit preparation. By replacing manual effort with AI-driven insights, security teams can act faster and operate more efficiently across the risk management lifecycle.
Key Drivers delivers a real-time, comprehensive view of risk posture by analyzing millions of security control records in seconds. Built on Panaseer’s actionable dashboards, tailored to each organization’s industry and regulatory frameworks, this AI-driven solution uncovers complex, high-risk combinations that are near-impossible to detect manually.
For example, it might reveal that phishing test failures are concentrated in a specific business unit, or that Windows 8 devices in critical areas are consistently breaching patching SLAs, enabling teams to quickly understand what’s driving the change, prioritize response efforts, and take decisive action.
This launch represents the first step in Panaseer’s broader AI suite, with an innovative roadmap of AI products focusing on enhancing AI governance, accelerating cyber risk management and compliance, and ultimately strengthening cyber resilience across organizations.
Key features of Key Drivers include:
- Readily available insights on risk shifts: Security teams can define thresholds for critical metrics. When those thresholds are crossed, Key Drivers automatically initiates analysis and delivers timely, AI-generated insight into what changed and why.
- Concise, report-ready summaries: Outputs are written in clear, concise language that can be copied and pasted directly into reports or shared with stakeholders, helping increase transparency and accountability.
- Business-context filtering: To understand the root cause of metric changes, users can segment data by dimensions such as Device Type, Business Unit, Country, Criticality, and OS. This empowers teams to localize issues and assess their operational impact precisely.
- Drillable asset-level insights: When carrying out more targeted investigations, teams can click into each contributing factor to reveal the specific systems, assets, or users driving the change. This accelerates investigations and supports focused responses in collaboration with control owners.
With Key Drivers, organizations can better detect and respond to early signs of residual risk “drift”, where subtle changes to controls, vulnerabilities, or the threat landscape cause risk levels to shift even after mitigations are in place.
“With breaches continuing to rise, security professionals are under incredible pressure to act fast, but it’s often hard to pinpoint what’s really driving changes to their risk posture,” says Marc Moesse, Chief Product Officer at Panaseer.
When you’re dealing with this level of complexity, it’s easy to fall back on assumptions or gut instinct, rather than evidence, increasing the likelihood of bias and blind spots. Key Drivers doesn’t just flag anomalies, it explains them. Our plan is to build responsible AI features to act as force multipliers, allowing security teams to make smarter, faster, data-driven decisions and focus their efforts where it really matters.
Marc Moesse
Chief Product Officer at Panaseer
This helps both CISOs and security teams alike:
- For CISOs: Key Drivers dramatically reduce time spent on manual analysis and translating technical findings into business-friendly language. It equips teams with the context needed to make faster, data-backed decisions, reduce operational risk, and enforce policy adherence. Positive trends in risk posture can also be demonstrated in regulatory reports and board-level briefings.
- For security analysts: Key Drivers acts as a personal investigative assistant, processing vast volumes of complex security control data in seconds and automatically directing analysts to the cause. This accelerates triage, adds confidence to reporting, and frees teams to focus on high-value work.
“Residual risk isn’t some abstract concept – it’s the security gaps hiding in plain sight,” adds Jonathan Gill, CEO of Panaseer. “Every time we run an assessment, we uncover the same surprises: incomplete CMDBs, thousands of unprotected endpoints, misconfigured cloud environments with no ownership, and even ‘retired’ servers that still live on the network. And these gaps never stay the same; what looks safe on Monday can be wide-open by Friday. That’s why visibility is everything. With Key Drivers, we give security leaders a living, breathing view of their environment – a system of record that allows security teams to spot residual risk the moment it drifts, understand the control failures behind it, and close the gaps before they become tomorrow’s headlines.”
Key Drivers is available to all Panaseer customers now. To experience how Panaseer’s AI transforms control insights into faster, smarter security decisions, visit the Panaseer AI page.
About Panaseer
Panaseer is an enterprise cybersecurity company that helps organizations improve their security posture by continuously measuring whether controls are fully deployed and working effectively. It has been recognized by the World Economic Forum as a Technology Pioneer helping to solve the world’s most pressing issues. Panaseer’s Continuous Controls Monitoring (CCM) platform gives CISOs a true picture of their security posture by measuring the performance of their cybersecurity defenses against established frameworks and regulations. This enables them to take targeted action to reduce cyber risk and provide accurate data to stakeholders and regulators. CCM also drives more efficient use of resources through automated processes and improved prioritization.