Cybersecurity for the AI Era
Secure AI where AI happens
Prevent data leaks, secure AI agents, apps, models, and infrastructure, and block adversarial threats — all from a single platform.
The new AI security imperative
AI Agents Are on Your Endpoints
The Falcon Adversary OverWatch threat hunting team has observed significant growth in agent-triggered detection leads, now tracking at 2.5x the rate of human-triggered leads.
Protect the entire AI attack surface
With CrowdStrike, organizations can safeguard data, models, agents, and identities while accelerating AI-driven transformation.
One unified platform to secure AI
Your complete AI footprint. Verified.
CrowdStrike Shadow AI Visibility Service discovers AI tools, agents, copilots, extensions, and model-connected services operating across endpoint, cloud, and SaaS, including assets invisible to traditional inventories and self-reported audits, delivering prioritized findings and expert recommendations to help reduce exposure.
Secure AI adoption and development
Protect employee adoption of GenAI tools, managed through a single sensor and console. Defend AI workloads at runtime with shadow AI discovery, prompt-layer visibility and threat detection, data protection, and automated response across endpoints, AI agents and applications, AI gateways, and cloud environments.
Enforce governance and access controls
Enforce AI security policies across users, agents, tools, and models. Block unauthorized access and topics or mask or encrypt sensitive data before exposure, preserving workflows without introducing friction.
Stop prompt injection attacks
Detect and stop direct and indirect prompt injection, unsafe content, and attempted model manipulation in real time. Global telemetry and adversarial prompt intelligence stays ahead of emerging techniques with high detection efficacy and low latency.
Prevent sensitive data leaks
Prevent sensitive data from being shared with users, models, agents, or external AI systems. Automatically identify and block confidential information, including credentials and regulated data, before it’s uploaded, shared, or processed.
Secure AI agent identities before they go rogue
Discover AI agents across SaaS platforms, revealing configurations, tool access, data sources, and ownership. Identify risky behavior, excessive privileges, and unmanaged agents to enable cross-platform governance and compliance monitoring.
Discover and contain shadow AI on endpoints
Automatically discover AI components across endpoints, spanning AI apps, agents, models, MCP servers, and IDE extensions. Prioritize remediation based on exposure risk to critical resources.
Discover and contain shadow AI in the cloud
Secure AI cloud workloads by detecting threats across infrastructure and application layers, revealing how AI is introduced and used. Reduce risk and prioritize remediation for mission-critical AI workloads.
Explore solutions to secure AI
See how customers are securing AI innovation
with the CrowdStrike Falcon® platform
If you try to put a fence around AI to block its use people will find workarounds, so instead we created a path of least resistance with AIDR to make secure AI software development an easy and obvious choice."
Mike Manrod, CISO, Grand Canyon Education
The fundamental barrier to AI adoption is not the technology itself, but the fear of what might go wrong. With AIDR built into Deskpro, we eliminate that fear. Organizations can confidently deploy AI, knowing that the guardrails are working behind the scenes to catch threats and prevent data exposure."
Brad Murdoch, CEO, Deskpro
One of the things we wanted to confront in the organization was the use of generative AI, particularly documents being uploaded to GenAI. Since working with CrowdStrike, it's given us greater confidence in our security posture.”
Scott Wood, Security Architect, The Francis Crick Institute
Featured Resources
Securing AI Where It Executes: The Endpoint Is the New Control Point for AI Agent Security
Forward-Looking Statements
This page contains forward-looking statements, including statements regarding the closing and benefits of the proposed acquisition. These statements involve risks and uncertainties, and actual results may differ materially. There are a number of risks which could cause actual results to differ materially, including the satisfaction of the acquisition’s closing conditions, our ability to integrate Pangea, and other risks described in the filings we make with the Securities and Exchange Commission from time to time.
1 Performance metrics are based on results from internal benchmark testing.
