Ghost Security 👻

At Ghost Security 👻 we get asked all the time about whether AI models will just be able to write secure code since they keep rapidly improving. Some posit that AI is getting so good, it will just "solve" the appsec problem. This is not really the right altitude to frame the question... Current frontier AI models can absolutely write secure code. The question is: are your teams capable of causing them to do so? If not, that is what one might call a "skill issue." Remember, we humans were perfectly capable of writing secure code before the AI era, yet we often failed to do so. That's because the incentives were not always there. It's no different with AI assisted (or exclusively generated) code. Teams CAN cause that code to be secure. It's no longer a matter of model capability. The question is will the incentive be there to do so? 🤔 We might even be _farther_ away from incentive alignment as teams taste those sweet vibes of shipping code at a velocity unimaginable a year ago.

From a security perspective, _more_ code is a liability. Always has been. Always will be. If your team is now writing 10x or 100x more code than they were in the “before times”, what are you going to do about that? Ghost Security 👻

"Who needs Santa's naughty list when you've got Ghost Security on the case? 🎄👻 This holiday season, we've been anything but nice to vulnerabilities—discovering and eliminating threats before attackers could unwrap them. Bug bounty hunters, consider yourselves out-haunted. While everyone else is decking the halls, we're decking the hackers. Wishing you a secure and merry holiday season! ✨ #GhostSecurity #AppSec #CyberSecurity" https://ghostsecurity.com/

Do findings from other security tools leave you confused and guessing? Check out the context a Ghost finding provides. 👇 You’ll know exactly what the problem is, where it lurks, and what code to fix so you and your engineering teams can go back to arguing over where to go for lunch. (tacos...the answer is always tacos)

Even the biggest vendors now admit it: context bloat is theater. You can’t brute-force understanding by feeding more tokens to a model. The problem was never context. It was error compounding, shallow validation, and systems blind to your institutional knowledge. Ghost fixes all three. We built a learning engine that: • Backtracks and self-corrects when reasoning drifts • Validates process, format, and correctness • Learns from every rejection and every human insight If your AI isn’t learning, it’s just analyzing faster and failing slower. Read the full blog here: https://lnkd.in/gCiDverf

The future of security isn’t on the way. He’s already here. And he’s sixteen. Ruikai Peng, the youngest speaker in Black Hat history, sat down with Greg Martin on Dialed In to talk about hacking, AI, and what happens when curiosity becomes your superpower. They get into: ⚡ The “magic” of AI and why it disappears once you understand it 💡 Why large language models still aren’t built for security 🚀 How curiosity beats credentials every time 🤖 And whether AGI is hype or actually coming for us One of our favorite episodes yet. Listen in and meet the next generation of AppSec. 🎧 now streaming on Apple Podcasts, Spotify, and YouTube

One month later and the fog still hasn’t cleared 👻 Already scheming the next one.... runZero Mallory

How easy is it to get Ghost findings directly into the engineering workflow and remediate the issue? With our IDE plugin, Ghost can make fixing issues a breeze from the comfort of your favorite coding environment. It’s as simple as Fix → PR → Done. 👇

Most people fall in love with the magic of AI. Ruikai Peng fell in love with the mechanics. At just 16 (!!!), he’s already the youngest speaker at Black Hat and he’s not chasing hype. He’s chasing understanding. In this clip from Dialed In with Greg Martin, Ruikai talks about how AI loses its magic once you see how it really works… and why that’s exactly what makes it fascinating. Curiosity beats credentials. Every time.

What if AI could finally take the toil out of AppSec? In the latest episode of The Application Security Podcast, Ghost’s own 🛡️🤖 Brad Geesaman dives into how large language models are reshaping security workflows, taking on triage, classification, and evidence gathering so humans can focus on what matters most. He also digs into how AI-native approaches could disrupt traditional tooling and give security teams the helicopter view they’ve been missing. 🎧 Listen here → https://lnkd.in/gMwjujw9