CrowdStrike (CRWD) Expands AWS Partnership to Power AI Security Solutions
These tools will help AWS customers to operationalize agentic AI workflow integrations, as well as safely test and protect AI systems within their existing AWS environment. With AI adoptions accelerating, offering realistic ways to connect models to real-time security operations has become a critical need. Trusted frameworks such as those from Crowdstrike can help companies power their security operations and protect the AI systems those operations depend on.
A trust services representative using modern technology for improved financial security.
'Agentic AI is fundamentally changing business of all sizes across every industry – but only secure AI can safely scale to deliver long-term results. With these offerings now available in AWS Marketplace, CrowdStrike is giving customers the power to safely build, test, and run AI-driven security workflows using the same cybersecurity platform trusted to protect the world's most critical environments.' -Daniel Bernard, chief business officer, CrowdStrike.
CrowdStrike Holdings, Inc. (NASDAQ:CRWD) is a leader in AI-driven endpoint and cloud workload protection.
While we acknowledge the potential of CRWD as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock.
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With increasing trading volumes and volatility, keeping up with crypto training is nearly impossible ... More as a human. Can an AI like Claude help? The crypto universe has reached truly planetary scale. Total market capitalization now hovers around $3.4 trillion, spread across 17,581 actively-tracked coins. Crypto never sleeps, as it trades 24/7, so every hour, those assets move through time zones, generating an endless feed of prices, blockchain metrics and gossip. Social-intelligence platform LunarCrush says it collects more than two million crypto-related posts every single day, ingesting tweets, Reddit threads, YouTube comments and even Discord chat logs, before ranking each for sentiment and engagement. For portfolio managers, that torrent is both opportunity and overload. A mid-level analyst in New York costs roughly $99,600 a year to sift the noise, while Anthropic charges just $3 for a million input tokens on its 200 k-context Claude 3 Sonnet model. 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That output is then routed to Slack or an internal dashboard, where visual alerts change from cautionary orange to deep red. From raw data to a risk signal in under five minutes, Claude helps traders stay ahead of sentiment-driven reversals. Limitations And Best Practices Claude is powerful, but it's not a trading engine. It cannot, and should not, place trades directly. Instead, it is an intelligent assistant, surfacing signals, drafting trade suggestions and flagging risks. Execution should go through a secure, rules-based layer, whether that's a broker API, human-in-the-loop approval, or both. Claude's output is only as good as the input, which means validation is important. Every signal or summary should be reviewed before action is taken. Best practice is to treat Claude as a co-pilot, not a decision-maker. Use structured prompts, apply strict formatting (like JSON schemas) and cross-check against multiple data sources. 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