AI security is in the spotlight after the recent OpenAI agent incident at Hugging Face and fresh claims that China could overtake U.S. labs through open-weight models. That combination of geopolitical competition, open source collaboration, and higher cyber risk is reshaping how investors think about companies tied to AI cybersecurity. Some stocks could see stronger interest as organisations look to protect AI systems, data, and infrastructure. Others may face tougher scrutiny over exposure to these threats. This article breaks down 3 stocks from our AI Cybersecurity Stocks screener that appear positively exposed to this news flow.
AeroVironment (AVAV)
Overview: AeroVironment is a defense technology company that builds AI-enabled robotic systems, including uncrewed aircraft, ground vehicles, maritime platforms, and counter-drone and electronic warfare solutions, for U.S. and allied government customers. It also supplies space, cyber, and directed energy technologies such as laser communications, phased array antennas, and cyber tools that support national security missions.
Operations: AeroVironment generates about US$1.36b in revenue from its Autonomous Systems segment and US$618.8m from Space, Cyber and Directed Energy, with around US$1.42b coming from the United States and US$556.4m from international customers.
Market Cap: US$8.03b
AeroVironment sits at the intersection of AI, drones, and cybersecurity, which is becoming more important as incidents like the OpenAI agent attack at Hugging Face highlight the risks around autonomous systems. The company has growing exposure to counter UAS, space-based communications, and directed energy, backed by sizeable multi-year U.S. and allied defense contracts that support revenue visibility and backlog strength. At the same time it is still loss making, margins have come under pressure after acquisitions, and the share price has been volatile, so the path to profitability is an important focus area. Investors who understand how AeroVironment’s AI and cyber-heavy portfolio fits into modern defense could see a different side of this stock’s potential.
AeroVironment’s AI heavy drone and cyber portfolio could be masking a very different risk reward profile than its volatile share price suggests. Before you decide how it fits your portfolio, read the 2 key rewards and 1 important warning sign
Ouster (OUST)
Overview: Ouster is a sensor company that supplies lidar and 3D vision hardware and software for cars, industrial equipment, robots, and smart infrastructure. Its portfolio spans OS and DF lidar product lines, Velodyne branded surround-view sensors, the Gemini perception platform for traffic and infrastructure, BlueCity traffic management solutions, and ZED cameras with built-in AI compute.
Operations: Ouster generates about US$185.33m in revenue from the sale of lidar sensor kits.
Market Cap: US$2.86b
Ouster operates at the intersection of AI, robotics, and physical infrastructure, which is increasingly important as connected devices face greater cyber risk and need more reliable sensing and software. The stock has been volatile in recent months and the company is still loss making. Analysts expect revenue and earnings growth, and the business is targeting EBITDA breakeven while highlighting high margin software attached bookings on top of its lidar hardware. Recent partnerships across heavy machinery, automotive platforms, and smart infrastructure illustrate how widely its sensors and software can be used. For investors who think AI will be embedded in cars, robots, and city systems rather than only in the cloud, Ouster provides focused exposure to that theme, while also involving competitive, dilution, and execution risks.
Ouster’s push toward EBITDA breakeven with lidar plus higher margin software attached bookings is only half the story. Get the full picture in the analyst forecasts for Ouster and see what might be hiding in plain sight.

Dynatrace (DT)
Overview: Dynatrace runs an AI powered observability platform that helps large organisations monitor and secure their applications, infrastructure, data and user experience across complex cloud and hybrid environments. Its tools use automation and analytics to detect issues, manage software delivery, and strengthen application security for customers across industries such as banking, government, insurance, retail, transport and software.
Operations: Dynatrace generates about US$2.02b in revenue from internet software and services, with customers across the United States, Europe, the Middle East and Africa, the Asia Pacific, Latin America, and the rest of North America.
Market Cap: US$12.93b
Dynatrace sits right where the Hugging Face incident and the OpenAI agent hack are pushing budgets, since its AI driven observability and application security tools help customers spot and contain issues inside dense AI and cloud workloads. The company combines an all in one platform, high recurring software revenue and recent share buybacks. At the same time, the P/E multiple is high, margins have compressed from last year, and competition from hyperscalers and open source tools is intense, so continued execution on AI and security is critical. Investors who look past the headline valuations and short term margin noise may see a very different risk reward trade off in Dynatrace’s AI cybersecurity story.
Dynatrace’s high P/E and compressed margins may be masking how its AI driven security and observability engine is positioned inside customer budgets. The analyst forecasts for Dynatrace could reveal where that story really breaks one way or the other.

The three AI cybersecurity stocks in this article are only a starting point, since the full screen surfaced 21 more companies with equally compelling AI security narratives and financial profiles inside the AI Cybersecurity Stocks screener. Use Simply Wall St to identify and analyze the exact catalysts, risk flags, and AI focused business drivers that matter most to you so you can focus on your highest conviction ideas.
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This article by Simply Wall St is general in nature. We provide commentary based on historical data
and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your
financial situation. We aim to bring you long-term focused analysis driven by fundamental data.
Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material.
Simply Wall St has no position in any stocks mentioned.
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