CrowdStrike Scales AI-Native Agents Across Falcon Exposure Management with NVIDIA

Security teams face a new imperative: act fast, or risk losing the vulnerability battle. The average enterprise faces thousands of vulnerabilities across a sprawling hybrid attack surface. Adversaries are using AI to discover and exploit weaknesses independently, at machine speed, making traditional disclosure timelines increasingly irrelevant. Scan-and-ticket workflows weren't built for this reality, and neither are the teams asked to execute them with finite headcount and growing board-level scrutiny.

Closing the gap between exposure and remediation requires AI that can reason across the entire environment, cut through noise with adversary-informed context, and drive action at machine speed. CrowdStrike Falcon® Exposure Management was built for this. It delivers continuous exposure visibility, exploitability-driven prioritization, and AI-native agents that reason across the attack surface to drive real-time risk reduction. 

Now, CrowdStrike and NVIDIA are exploring ways to accelerate and scale those capabilities further by testing machine-speed reasoning at every phase of the vulnerability lifecycle.

Training AI on the World's Richest Security Telemetry

The foundation of this collaboration is data — trillions of telemetry events ingested daily across the CrowdStrike Falcon® platform, enriched with the world's leading threat intelligence.

Falcon Exposure Management's AI agents already harness this telemetry to continuously assess risk, map potential pathways, and prioritize exposures based on real-world exploitability and adversary behavior. CrowdStrike's managed detection and response (MDR) analysts, threat hunters, and incident responders investigate threats every day, generating security data that reflects how adversaries operate and how experts respond. 

Leveraging NeMo Data Designer, CrowdStrike curates and synthesizes this data into high-quality training datasets tailored to cyber defense. They encode the reasoning patterns that CrowdStrike’s security experts apply when evaluating real-world risk; this provides contextual judgment that rules-based systems cannot replicate. Those datasets power the fine-tuning and post-training of Nemotron 3 Super models via NeMo AutoModel, an open library part of the NeMo Framework, which helps to further improve model performance that powers Falcon Exposure Management's agents for the complex, sustained reasoning that vulnerability management demands.

With CrowdStrike's human-AI feedback loop and NeMo Data Designer, the models learn from the specific signals that matter in security: how vulnerabilities chain into attack paths, how asset criticality intersects with exploitability, and how adversary behavior patterns map to real-world risk. The result is AI that surfaces vulnerabilities and reasons about them with the depth and precision of a seasoned practitioner, quickly, continuously, and at enterprise scale.

Intelligent Workflows Across the Full Vulnerability Lifecycle

Falcon Exposure Management's AI-native agents sit at the core of this story, purpose-built to cut through vulnerability noise and surface what matters. Rather than generating static lists, they continuously reason across the attack surface, correlating exploitability signals, asset criticality, and real-world adversary behavior to deliver dynamic, prioritized risk reduction.

With this native AI capability combined with NVIDIA Nemotron 3 Super models fine-tuned using NeMo AutoModel, security teams can move from exposure to action across the full vulnerability lifecycle, faster and at greater scale than ever before.

Specialized agents within Falcon Exposure Management operate across every phase, from initial discovery through active remediation, using skills built to deliver outcomes at each step:

• Discover: Continuously surface vulnerabilities across endpoints, cloud workloads, identities, and the broader enterprise attack surface to get a detailed, single view with the Exposure Summary Agent.
• Prioritize: The Exposure Prioritization Agent cuts through thousands of findings to focus on the vulnerabilities that represent genuine, imminent risk, informed by real-world exploitability, asset criticality, and active threat actor behavior.
• Validate: Finding a vulnerability is only the first step. Validation agents separate exploitable risk from background noise with an adversary's view of how vulnerabilities could be chained to reach critical assets.
• Remediate: Agents close the loop with precision. They act on the vulnerabilities that matter, in the environments where they exist, and spend less time managing queues and more time reducing risk.
• Verify: Discovery, validation, and remediation end with confirmation that the remediation efforts have successfully addressed the risk, ensuring vulnerabilities are closed and the exposure no longer exists in the environment.

This grounding in real enterprise context is what separates intelligent action from generic automation. Every decision reflects the reality of your environment.

These agents are secure by design, with security built in from the ground up. Layering on top of this, CrowdStrike Falcon® AI Detection and Response (AIDR) secures the LLMs, skills, and MCP connections that power these workflows, helping ensure the AI driving remediation is itself protected against adversarial manipulation and abuse.

Reducing Risk Requires Acting at Machine Speed

According to the CrowdStrike 2026 Global Threat Report, adversaries continue to compress breakout times and accelerate exploit development, increasingly augmented by AI. The adversary isn't only waiting for a CVE. AI has made it possible to discover and exploit vulnerabilities independently, at machine speed. When a disclosure lands, adversaries move faster than ever to weaponize it. The organizations that close exposures fastest are the ones that limit adversary opportunity.

Falcon Exposure Management was built on a core conviction: knowing the attack surface isn't enough. You have to act on it — faster than the adversaries, smarter than the noise, and at a scale beyond laborious manual processes. Its AI agents, continuous exposure visibility, and exploitability-driven prioritization help organizations do exactly that.

By collaborating with NVIDIA to scale specialized agents within exposure management, CrowdStrike is giving security teams the ability to accelerate operations at the speed the threat landscape demands

Disclaimer

This content includes discussion of unreleased services or features. Any references to unreleased features reflect our current plans only and do not constitute a promise or commitment to deliver such features. These items may change or may not be made available in all regions. Customers should make purchase decisions based on features currently available.

Additional Resources

• Read more about collaboration between CrowdStrike and NVIDIA in this blog:  CrowdStrike Brings Enterprise-Grade Security to the AI Factory with NVIDIA BlueField-4 STX
• Join us at Fal.Con 2026 as we bring together cyber leaders from across the industry to help secure the AI revolution.