Introducing Autonomous, Targeted Mitigations via Compensating Controls
CardinalOps, the leading Unified Exposure Management platform, announced the launch of Cardinal AI, a new suite of artificial intelligence capabilities designed to accelerate effective exposure management with agentic, risk-reducing workflows. As part of this release, the company is also introducing Wingman, a generative AI tool that orchestrates Cardinal AI’s intelligent workflows for identifying, evaluating, and implementing targeted compensating controls.
Security teams today are drowning in fragmented findings across vulnerability management (VM), cloud security posture management (CSPM), endpoint detection and response (EDR), SIEMs, and more—without a unified visibility layer to correlate and act on the most critical threats. Cardinal AI directly addresses this challenge by acting as a force multiplier for security teams, intelligently connecting siloed data, surfacing actionable insights, and recommending the most effective mitigation paths to reduce exposure risk.
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“With the launch of Cardinal AI and Wingman, we’re delivering the next evolution of exposure management: from reactive patching to proactive, AI-assisted remediation,” said Michael Mumcuoglu, Co-founder and CEO of CardinalOps. “By pairing human expertise with AI-driven context and action, we’re empowering security teams to move faster and more confidently to eliminate the exposures that matter most—without the false positives, redundancy, or wasted effort.”
From Findings Fatigue to Actionable Intelligence
Cardinal AI encompasses the core AI-powered functionality across the CardinalOps platform, including:
- LLMs for MITRE mapping and detection engineering.
- Threat Intelligence Operations (TI-Ops) for connecting TTPs to detections and recommending new rules.
- Agentic mitigation workflows that continuously review your security stack and identify compensating controls to remediate newly disclosed CVEs.
This foundational intelligence is now accessible via Wingman, CardinalOps’ new generative AI interface. Wingman empowers defenders to engage with Cardinal AI in natural language, explore and compare mitigation options, create targeted remediation plans, and validate control effectiveness—all within the context of their unique environment.
Cardinal AI enables autonomous exploration of mitigations for emerging vulnerabilities—across endpoint, network, and cloud domains—using agents trained on specific knowledge domains. These agents are precisely orchestrated to evaluate exposures, consider multiple control paths, and recommend the most efficient and effective course of action.
With Wingman, practitioners gain a trusted AI co-pilot that:
- Recommends compensating controls based on risk context and asset posture
- Validates alternative mitigations proposed by the user
- Compares implementation complexity, time-to-remediation, and coverage effectiveness
- Creates targeted remediation plans, engaging the user when human intuition and context are necessary, crafting tailored mitigation paths that combine multiple controls
- Maintains a human-in-the-loop decision model for final implementation
The Future of Exposure Management Is Agentic
With the launch of Cardinal AI and Wingman, CardinalOps is redefining what it means to manage security exposures in the age of AI. By enabling teams to act faster, work smarter, and eliminate the riskiest exposures, the platform empowers organizations to extract more value from their existing tools and improve their security posture—without additional complexity.
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