AI that can hack on its own is no longer a thought experiment, and Google’s Gemini test put that front and center for investors watching Alphabet and its peers. The same tools that worry regulators also shine a spotlight on companies working on AI safety and incident response. This article walks through three stocks exposed to that story and how the Gemini moment might reshape their risk and opportunity profiles.
The stocks covered below are just a sample, and the wider screen surfaced 59 more listed players that talk directly about AI safety, model red teaming, containment layers, or incident response in their own materials.
If you want to identify and analyze those extra candidates alongside this short list, head straight to the AI Safety and Incident-Response Software Vendors screener.
Trend Micro (TSE:4704)
Trend Micro is one of the clearest pure plays in this screener, since its business already revolves around AI driven threat detection, incident response and security software that can sit between powerful models and the open internet.
Trend Micro develops cybersecurity platforms across cloud, endpoint, network and consumer protection, with AI infused tools like Vision One, XDR and incident response services. It generated about ¥88.1b in Japan, ¥82.8b in Asia Pacific, ¥67.2b in Europe and ¥57.9b in the Americas, and carries a market value near ¥857.8b.
"Although AI infused capabilities such as cyber risk exposure management, digital twin security environments and Agentic SIEM expand Trend Micro's role in protecting increasingly complex attack surfaces, execution risk around customer training, upgrade bandwidth and platform adoption could slow monetization and temper the expected uplift in recurring revenue and earnings."
The real swing factor is how one quiet cost pressure tied to those AI heavy security services shapes future profitability.
That quiet cost pressure is exactly where the story gets interesting, and the full narrative for Trend Micro unpacks how Trend Micro’s AI push could still accelerate value creation.
Datadog (DDOG)
Datadog is effectively the screener’s control room for AI safety, watching how complex software behaves in real time and flagging trouble before it turns into a full blown incident for customers running critical workloads.
Datadog runs a cloud observability and security platform that tracks infrastructure, applications, logs and AI workloads. This makes it a central player for AI behavior monitoring and incident response. It generated about US$4.0b from IT infrastructure tooling and has a market value near US$84.7b.
"Accelerating enterprise cloud migration and broader adoption of AI workloads are driving increased demand for unified observability and security platforms. This is positioning Datadog as a mission-critical vendor and supporting continued topline revenue growth as digital transformation deepens across industries."
What happens to that story if a single pressure on how customers budget for always on AI monitoring shifts direction.
That budgeting question is exactly what the full narrative for Datadog tackles, showing how Datadog’s monitoring model could accelerate, stall, or completely reshape long term economics.
Dynatrace (DT)
Dynatrace plugs directly into the AI safety story because its observability platform helps large organisations watch AI heavy systems for risky behaviour in real time, and that same toolkit underpins a sizeable internet software and services business that produced about US$2.1b on a roughly US$16.1b market value.
As Gemini’s hacking demo pushes AI risk monitoring up the agenda, Dynatrace gives enterprises a way to watch production systems and act quickly when automated behaviour goes wrong. This is where its subscription pivot becomes so important for investors trying to size the long term opportunity.
"The shift to the Dynatrace Platform Subscription (DPS) is a game-changer that the market hasn't fully priced in. Data confirms that customers moving to DPS increase their usage and spending by 2x compared to the old model."
What really moves the needle from here is how one quiet pressure on AI driven security demand filters through to future margins and cash generation.
When that AI driven security demand pressure bites hardest, the full narrative for Dynatrace shows how Dynatrace’s DPS shift could still accelerate usage, reshape profitability and re-rate investor expectations.
Seeking Fresh Alternatives Beyond AI?
Fresh ideas move first and move fast. Prices can break out, momentum can build, and late money can get caught chasing. Scan these under the radar picks before the crowd and consider acting early.
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- Follow structural shifts in healthcare by screening the 9 healthcare AI stocks and highlight listed operators integrating AI into medical workflows before momentum potentially accelerates.
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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