AI Coding Conundrum: Companies Embrace AI for Security but Balk at Programming Prowess

“AI in Coding: Proceed with Caution” – While AI secures our digital fortresses, a mere 32% of companies dare to let it loose on their code, fearing the cyber boogeyman in their software closet. Will code-crafting bots make the cut? Stay tuned!

Hot Take:

AI seems to be the cool new kid everyone wants on their cybersecurity team, but when it comes to coding, it’s like that friend you’re not quite sure should be trusted with the house keys. Companies are scanning their cyber porches with AI-powered binoculars, but they’re reluctant to let AI’s algorithmic fingers touch the sacred code. It’s like everyone wants to dance with AI at the security ball, but no one wants it stepping on toes in the development tango.

Key Points:

  • AI is the security bouncer but not the coding DJ – 90% use it for security scans, but only 32% let it spin the code decks.
  • There’s a scan-dal in timing – nearly half the techies can’t decide whether to scan during the coding soiree or right before the software’s grand entrance.
  • Security checks are the new DMV – two out of five devs are waiting up to a week just to get the green light for a new code snippet.
  • CVSS scores are the new Rotten Tomatoes – 74% of the time, they’re about as reliable as a popcorn rating for your cybersecurity movie.
  • Despite the cyber gloom, there’s a silver lining – threats are up, but their mixtape of severity might not be topping the charts.

Need to know more?

Code Cold Feet

It's a love-hate relationship with AI in the coding world. DevSecOps teams are treating AI like a Tinder date – swipe right for security, but super left when it comes to writing code. JFrog's CTO, Yoav Landman, gives us the lowdown, saying the software security dance floor is more volatile than a TikTok trend. Innovation and demand are doing the tango, and AI is stepping on a lot of toes.

The Scanning Shuffle

When to scan? That's the question splitting the tech community like an unsolicited opinion at Thanksgiving dinner. A narrow margin can't decide if it's better to run security scans while the code is still fresh from the keyboard or just before it hits the deployment runway. Meanwhile, open-source software packages are waiting in the wings, hoping not to trip on their way to the main stage.

Library Labyrinth

Trying to get new coding tools is like being in line at the newest, most exclusive club – except this line moves slower than dial-up internet. Around 40% of developers are tapping their feet, waiting up to a week just to get a nod from the security bouncers to use a new library. Talk about a productivity party pooper.

Severity Score Skepticism

And then there's the CVSS – the cybersecurity world's attempt at a Yelp review. Teams are dedicating chunks of their time to patch up vulnerabilities, but it turns out 74% of high-stakes CVSS scores might be as overrated as a hipster's choice in craft beer. It seems many vulnerabilities aren't as dire as they're dressed up to be.

The Bright Side of the Cyber Street

Despite the cyber world looking like a scene from a hacker horror film, there's hope. The report hints at a plot twist – the number of threats is on the rise, but their severity might just be a B-rated scare. So, while DevSecOps teams are gearing up for battle, the war might be less epic than anticipated.

AI's Coding Cautions

As we wrap up this episode of "As the Cyber World Turns," let's not forget the underlying theme: AI is a double-edged sword, sharp in security but a bit dull in development trust. Companies are eager to harness its power but are tiptoeing around its potential to slice through code integrity. This tech telenovela continues – will AI eventually be the hero in the coding saga, or will it remain the trusty sidekick? Stay tuned.

Tags: AI in Software Development, Application security, DevSecOps, open-source security, Secure Development Lifecycle, software supply chain, vulnerability management