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CrowdStrike acquires Pangea
Gaming Gear

CrowdStrike to acquire Pangea Cyber for $260 million, adding prompt injection defense and AI Detection and Response to its Falcon platform

by admin September 18, 2025



  • CrowdStrike buys Pangea Cyber for $260 million to expand AI protection
  • Acquisition will boost Falcon platform with AI Detection and Response capability
  • Pangea brings prompt injection defenses and governance to secure enterprise AI adoption

CrowdStrike has announced plans to acquire AI security specialist Pangea Cyber in a deal valued at around $260 million.

Enterprises are increasingly concerned about the security of AI platforms as adoption grows across industries, and the agreement, which is expected to close this quarter, will help CrowdStrike offer protection across every stage of enterprise AI use.

Founded in 2021 and based in Palo Alto, California, Pangea monitors interactions between AI systems, users, and software.


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Securing the entire AI lifecycle

The startup specializes in preventing prompt injection attacks, where hackers trick LLMs into ignoring safeguards, potentially exposing sensitive data or executing harmful actions.

“AI is rewriting the enterprise attack surface at breakneck speed. Each prompt becomes an entry point for the adversary,” said George Kurtz, chief executive of CrowdStrike.

“With Pangea, CrowdStrike will secure the entire AI lifecycle, detecting risks, enforcing safeguards, and ensuring compliance, so our customers can confidently build, deploy, and scale AI without risk,” he added.

Pangea’s acquisition will allow CrowdStrike to extend its Falcon agentic security platform and offer the industry’s first complete AI Detection and Response, or AIDR, securing data, models, agents, identities, infrastructure, and interactions from development through workforce usage.

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This will include visibility and control over AI agents and their workflows, safeguards to stop risky chatbot interactions, and low-latency defenses against malicious prompt manipulation.

“Pangea was founded to make AI adoption safe and secure, giving enterprises the visibility and guardrails to embrace AI with confidence,” said Pangea Cyber founder and chief executive, Oliver Friedrichs.

“By joining CrowdStrike, we will be able to deliver this vision on a global scale, unifying AI security with the Falcon platform.”

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September 18, 2025 0 comments
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AI in a search bar above a rainbow-lit keyboard
Gaming Gear

Writing a Good AI Image Prompt Isn’t Hard, but You Need These Essential Elements

by admin September 16, 2025


One of the first things I learned while testing AI image generators is that there are a lot of things that can go wrong when you’re trying to get the image you see in your head to appear on your screen. If you’ve ever used an AI image or video generator, you know what I mean.

I’ve spent the past year testing and reviewing different AI image generators, and I’ve generated hundreds of images across services like Google’s nano bananas model, Midjourney and Dall-E. But the images I created haven’t all been winners. A bunch of them have been downright horrifying. But all my testing forced me to learn that the best way to avoid creating a wonky AI image is using a good prompt.

Prompt engineering, as experts call it, is knowing what words to use to get AI products to do what you want. For AI images, that means creating a holistic description of what you want, beyond just the characters and setting. No matter what service you use, there are essential elements you need in every prompt for the best results. This is especially important if the generator you’re using doesn’t have a lot of editing tools, like the ability to upload reference images or fix weird hallucinations.

10 Photos That Show What AI Image Generators Struggle With Most

See all photos

Writing a good AI image prompt isn’t hard, but it may take a little more work than you expect. These are my best expert tips for crafting the right prompt, including some helpful phrases to use and common mistakes to avoid.

Start with these three elements

When you first write your prompt, you might feel overwhelmed or like you’re not sure where to start. I’ve been there, and the best place to begin is with the essentials. These are the three necessary elements every prompt needs. Once you have something for each of these, you can build it out from there.

  • Characters and elements in the scene
  • Setting or where it takes place
  • Dimensions, like portrait, landscape or a specific ratio (3:2, 16:9, etc)

You might be tempted to add some exclusionary characteristics in your prompt, or things that you do not want in your image. I would caution against it. Even the most prompt-adherent generator is likely to ignore these, or worse, misread the prompt and include something you specifically asked it not to. If you want to eliminate an element from one image, it’s usually easier to do that in the editing stage rather than in the original prompt.

Specify the style and color palette you want

Beyond the “who, what and where” in your basic prompt, you’ll want to guide the generator toward a specific style. Here are some of the most popular styles of AI images.

  • Photorealistic: As close to real life as possible. AI image generators aren’t great at this, but it’s worth trying.
  • Stock photography: Like real photos, but shinier and brighter.
  • Product features: Emphasizes individual elements over the background or scene.
  • Cartoon: Fun, bright and usually less detailed.
  • Illustration: Similar to paintings, pencil sketches.
  • Gaming/Game UI: More advanced than cartoon, sometimes anime-like.

Include specific colors you want, too. If you’re not picky about the exact shades you want, you can still lead the generator down the right road by specifying if you want warm or cool tones.

This Canva image keeps the magic alive with a cartoonish warm-toned image.

Katelyn Chedraoui/Canva Magic Media AI

You’ll want different styles for different projects. Photorealistic AI images are likely to be better suited for professional environments than cartoon-style images, but they might not be right for a creative mock-up. Illustrations might be best for more detail-oriented, creative projects, like building out brainstorming ideas, and gaming is good for first iterations of new characters and worlds.

Describe the aesthetic, vibe and emotion

Take your prompt a step further and include a description of the overall aesthetic or vibe. This can help elevate your images and reach that extra layer of detail. These details are a jumping-off point to get you in the ballpark of what you want without overwhelming the generator with a novel-length prompt. Here are some common options to include in your prompt.

  • Abstract
  • Anime
  • Medieval
  • Retro
  • Psychedelic 
  • Glow, neon
  • Geometric
  • Painting, brushstroke, oil painting
  • Comic
  • Noir
  • Vintage
  • Impressionist
  • Simple, minimalistic
  • Fantasy, sci-fi
  • High tech
  • Surrealist

If none of these aesthetics feel right, try picking the closest one and building from there. Include textures, the time period and landmarks. If you care less about the specific style but want to ensure a specific emotional response, try describing that. Often describing the emotional temperature of a scene can jump-start the generator toward a specific kind of visual look. For example, happy scenes tend to have bright colors and a warm feel, no matter if they’re photorealistic or illustrations. Stressful scenes might have more detail, cool tones and a foreboding feeling that the generator might show you fits better with a fantasy or nonrealistic aesthetic.

Leonardo might not understand “cottage core coastal grandma,” but it does understand the rustic feel with blues and warm light.

Katelyn Chedraoui/Leonardo AI

You can try using more specific or pop culture aesthetics, but there’s no guarantee the generator will understand and adhere to them. For example, you might want to consider translating “cottage core coastal grandmother” to “vintage style with a light, breezy, feel using pastel blues and neutral tones.” It gets at the same idea with more specific instructions.

My AI images still aren’t right. What now?

Even with a well-written prompt, AI image generators aren’t perfect and you’ll get some duds. The tech behind the text-to-image generators is advancing, but it’s still very much in progress.

Tweaking your prompt is the fastest way to troubleshoot big problems. But if issues persist, try narrowing down what exactly is wrong with the images and tracing the problem back to where it may be coming from. For example, if your images aren’t professional-looking enough to present, it could be because the style or aesthetic included in your prompt isn’t right. Even making smaller changes to your presets, like the image dimensions, can make a big difference in the end results.

Midjourney took the “stressful” emotion too far in this image and lost the photorealistic style I wanted.

Katelyn Chedraoui/Midjourney AI

Many AI image services offer post-generation editing tools that can help you fix smaller errors. Services more geared toward professional creators like Adobe Firefly have extensive tools. More beginner-friendly programs run the gambit, with Leonardo having the most, then Midjourney with an average amount, with Canva having barely any.

Still, it can be frustrating not to get what you want after lots of work. Even more frustrating is that sometimes the best thing to do is start over. Resetting your settings to default, rethinking your prompts and beginning anew can feel like going backward. But when nothing else works, it can be a good last resort.

At the end of the day, AI image generators are not replacements for creators. They’re like other image editing software: You need to spend time getting to know your program, understanding how it works and its editing capabilities. Once you have a handle on your program, you’ll have a good understanding of what kind of prompts deliver the best results. These tips will help get you close to what you want in the meantime.

For more, check out the best AI chatbots and what to know about AI video generators.



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September 16, 2025 0 comments
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GameFi Guides

‘CopyPasta’ Attack Shows How Prompt Injections Could Infect AI at Scale

by admin September 7, 2025



In brief

  • HiddenLayer researchers detailed a new AI “virus” that spreads through coding assistants.
  • The CopyPasta attack uses hidden prompts disguised as license files to replicate across code.
  • A researcher recommends runtime defenses and strict reviews to block prompt injection attacks at scale.

Hackers can now weaponize AI coding assistants using nothing more than a booby-trapped license file, turning developer tools into silent spreaders of malicious code. That’s according to a new report from cybersecurity firm HiddenLayer, which shows how AI can be tricked into blindly copying malware into projects.

The proof-of-concept technique—dubbed the “CopyPasta License Attack”—exploits how AI tools handle common developer files like LICENSE.txt and README.md. By embedding hidden instructions, or “prompt injections,” into these documents, attackers can manipulate AI agents into injecting malicious code without the user ever realizing it.

“We’ve recommended having runtime defenses in place against indirect prompt injections, and ensuring that any change committed to a file is thoroughly reviewed,” Kenneth Yeung, a researcher at HiddenLayer and the report’s author, told Decrypt.

CopyPasta is considered a virus rather than a worm, Yeung explained, because it still requires user action to spread. “A user must act in some way for the malicious payload to propagate,” he said.



Despite requiring some user interaction, the virus is designed to slip past human attention by exploiting the way developers rely on AI agents to handle routine documentation.

“CopyPasta hides itself in invisible comments buried in README files, which developers often delegate to AI agents or language models to write,” he said. “That allows it to spread in a stealthy, almost undetectable way.”

CopyPasta isn’t the first attempt at infecting AI systems. In 2024, researchers presented a theoretical attack called Morris II, designed to manipulate AI email agents into spreading spam and stealing data. While the attack had a high theoretical success rate, it failed in practice due to limited agent capabilities, and human review steps have so far prevented such attacks from being seen in the wild.

While the CopyPasta attack is a lab-only proof of concept for now, researchers say it highlights how AI assistants can become unwitting accomplices in attacks.

The core issue, researchers say, is trust. AI agents are programmed to treat license files as important, and they often obey embedded instructions without scrutiny. That opens the door for attackers to exploit weaknesses—especially as these tools gain more autonomy.

CopyPasta follows a string of recent warnings about prompt injection attacks targeting AI tools.

In July, OpenAI CEO Sam Altman warned about prompt injection attacks when the company rolled out its ChatGPT agent, noting that malicious prompts could hijack an agent’s behavior. This warning was followed in August, when Brave Software demonstrated a prompt injection flaw in Perplexity AI’s browser extension, showing how hidden commands in a Reddit comment could make the assistant leak private data.

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September 7, 2025 0 comments
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