Are Cloud Providers Neglecting Security to Chase AI?
John: Hey everyone, welcome back to the blog! I’m John, your go-to guy for breaking down AI and tech topics in a way that’s easy to digest. Today, we’re diving into a hot question: Are cloud providers neglecting security while racing after AI trends? It’s a timely topic, especially with all the buzz in 2025. I’ve pulled together the latest from reliable sources like InfoWorld, The Hacker News, and Tenable’s reports to give you the real scoop. And joining me is Lila, who’s always got those spot-on questions to keep things relatable.
Lila: Hi John! As a beginner, this sounds intriguing but a bit overwhelming. What exactly do we mean by cloud providers chasing AI, and why might security be taking a back seat?
John: Great starting point, Lila. Cloud providers like AWS, Google Cloud, and Azure are pouring resources into AI to stay competitive—think faster AI model training, smarter data analytics, and tools that make AI accessible for businesses. But recent reports suggest this rush might be creating blind spots in security. For instance, if you’re into automating workflows to handle some of this tech, our deep-dive on Make.com covers features, pricing, and use cases in plain English—worth a look to streamline your setup: Make.com (formerly Integromat) — Features, Pricing, Reviews, Use Cases.
The Basics: Cloud, AI, and the Security Balancing Act
Lila: Okay, break it down for me. What’s the connection between cloud services, AI, and security risks?
John: Sure thing. Cloud providers offer storage and computing power over the internet, and AI thrives on that—needing massive data and processing to learn and predict. But as they expand AI features, like AI-driven analytics or machine learning platforms, security can lag. A recent InfoWorld article from just 17 hours ago highlights how rapid AI investments and hybrid cloud complexities are threatening enterprise trust in security. It’s like building a super-fast car without fully testing the brakes first.
Lila: That analogy helps! So, are there specific examples of this neglect?
John: Absolutely. According to Tenable’s State of Cloud and AI Security 2025 report, 82% of organizations operate hybrid multi-cloud setups, and this growth has outpaced security strategies. They found that 34% of AI workloads are already linked to breaches. It’s not intentional neglect, but the speed of AI adoption is creating gaps.
Current Developments in Cloud AI and Security
Lila: What are some of the latest trends or tools addressing this? I hear AI is being used for security too.
John: You’re spot on, Lila. It’s a double-edged sword—AI causes risks but also fights them. For example, Cyble’s piece on AI-powered cloud security platforms in 2025 talks about how these tools use AI for predictive security and faster threat detection. Google Cloud just expanded its AI security tools at their 2025 Summit, introducing things like Model Armor for protecting AI agents. And The Hacker News emphasizes runtime visibility in cloud-native security, which helps cut false positives and speed up responses.
Lila: Runtime visibility? That sounds technical. Can you explain it like I’m five?
John: Haha, no problem. Imagine your cloud setup as a busy kitchen—runtime visibility is like having cameras that watch everything in real-time, spotting if someone sneaks in or if a pot’s about to boil over. It’s becoming central to strategies in 2025, as per that Hacker News article from four days ago.
Challenges: Where Security is Falling Short
Lila: If AI can help with security, why are providers still accused of neglecting it?
John: Fair question. The main issue is pace—hybrid cloud and AI systems are growing so fast that security can’t keep up. IoT Insider reported five days ago that this outpacing creates new risks and complexities. Plus, a Channel Insider article notes Tenable’s warning that cloud and AI adoption is exceeding defenses, with many breaches tied to AI workloads. It’s not that providers are ignoring security entirely; they’re investing, but the focus on AI innovation sometimes overshadows foundational protections.
Lila: Yikes. What kinds of risks are we talking about?
John: Here are a few key ones from recent reports:
- Data breaches in AI training datasets, where sensitive info gets exposed.
- Misconfigurations in hybrid clouds, leading to unauthorized access.
- AI-specific threats like model poisoning, where bad data corrupts AI outputs.
- Lack of zero-trust models, which SotaTek’s Cloud Security Trends 2025 highlights as essential.
John: These aren’t hypothetical; Unisys’s Cloud Insights Report 2025 urges CISOs to think about risks before rushing into AI, pointing out readiness gaps.
Future Potential: Balancing Innovation and Protection
Lila: So, what’s next? Will providers fix this, or is it going to get worse?
John: Optimistically, I see a shift toward integration. Trends like confidential computing and post-quantum cryptography (PQC) are gaining traction, as per SotaTek. AI is enhancing data security too—AISecureData.com discusses how AI boosts threat detection in clouds. For businesses, tools that combine AI with security will be key. If creating reports or presentations on these topics feels overwhelming, this step-by-step guide to Gamma shows how you can generate presentations, documents, and even websites in just minutes: Gamma — Create Presentations, Documents & Websites in Minutes.
Lila: That sounds handy! Any advice for readers worried about this?
John: Definitely—adopt zero-trust architectures, use AI-powered security platforms, and stay updated via sources like Dataconomy’s take on AWS Security in 2025, which intersects AI, data, and cloud protection.
FAQs: Common Questions Answered
Lila: Let’s wrap up with some FAQs. First, how can beginners like me check if a cloud provider prioritizes security?
John: Look for certifications like SOC 2, as mentioned in Dataconomy, and reviews of their AI security tools.
Lila: Is AI making cloud more secure overall?
John: In many ways, yes—through predictive analytics—but it introduces new vulnerabilities that need addressing.
Lila: Any quick tips for businesses?
John: Focus on runtime visibility, integrate FinOps for cost-effective security, and consider automation tools. Speaking of which, if you’re ready to automate, check out that Make.com guide we mentioned earlier for seamless integrations.
John: Reflecting on this, it’s clear that while cloud providers are pushing AI boundaries in 2025, security isn’t being outright neglected—it’s evolving, but we need proactive steps to bridge the gaps. The key is balance: innovate without compromising trust.
Lila: Totally agree, John. My takeaway? As a beginner, I’ll prioritize providers with strong AI-security blends and maybe try tools like Gamma for quick insights. Thanks for simplifying this!
This article was created based on publicly available, verified sources. References:
- Are cloud providers neglecting security to chase AI? | InfoWorld
- AI-Powered Cloud Security Platforms In 2025
- Cloud-Native Security in 2025: Why Runtime Visibility Must Take Center Stage
- Growth of hybrid Cloud and AI systems has outpaced security strategies – IOT Insider
- Cloud Security Trends 2025 – What You Need to Know
- Tenable: AI and Hybrid Cloud Growth Outpacing Security Defenses
- AWS Security In 2025: The Intersection Of AI, Data And Cloud Protection – Dataconomy
- CISOs need to think about risks before rushing into AI – Help Net Security
- Cloud Security and AI security in 2025
- Using AI to Enhance Data Security in Cloud Computing: Future Trends and Real-World Insights
- Businesses focus on AI, cloud, despite cyber defense oversights | Cybersecurity Dive
- Google Cloud expands AI security tools at 2025 Summit