“Nearly 70% of critical vulnerabilities flagged by scanners go unremediated for over 90 days. Why? Because finding issues is easy. Fixing them … not so much.”
Application security has long had a reputation for being the team that throws vulnerability reports over the wall and then wonders why nothing gets fixed.
It’s not because developers don’t care. It’s because most AppSec programs are stuck in the “find and forget” loop: scanners produce thousands of alerts, most of them low-quality or irrelevant. The security team ends up playing catch-up, triaging endlessly, rather than enabling the business to ship secure code with confidence.
That’s the bad news.
The good news? AI-powered automated vulnerability remediation is starting to close that gap. AI is not only identifying issues faster, it’s also helping teams resolve them more intelligently, efficiently, and in the context of how they actually work.
Detection Is Dead. Long Live Remediation.
For over two decades, the industry has been obsessed with detection. More scanners, more rules, more coverage. But ask any Application Security leader what keeps them up at night, and you’ll likely hear:
“I’ve got hundreds of critical findings. I don’t know which ones matter most. And I don’t have enough engineers to fix them even if I did.”
That’s where AI changes the game. We’re seeing the emergence of intelligent remediation systems. Solutions that don’t just raise alarms, but help you respond to them.
Context-Awareness
Modern AI models, especially those trained on secure coding best practices can now be more considerate of context. This means identifying bugs that signature-based tools can miss, being considerate of your business context when measuring risk, and automatically suggesting patches that are tailored to your language, framework, and business logic.
Forget generic advice like “use parameterised queries.”
We’re talking:
“In your Express.js route handler, replace the raw SQL query on line 42 with this version using pg and parameterised bindings.
Here are some examples of products already tackling this :::
Nullify :::
Dryrun Security :::
Pixiee :::
This is the kind of experience developers want. Remove the toil from managing security bugs. Create real, actionable, and relevant fixes that let them write secure code with AI, right where they work.
For security teams, it means fewer back-and-forths. For dev teams, it means less context-switching, faster fixes and lower friction.
Vulnerability Prioritisation That Actually Makes Sense
AI isn’t just being used to fix vulnerabilities. It is helping teams decide what’s worth fixing in the first place.
Rather than treating all criticals as equal, AI systems now correlate vulnerability data with:
- Asset criticality … “Is this system customer-facing?”
- Exploitability … “Is there a public exploit in the wild?”
- Fixability … “Does a solution exist yet for this package?”
- Business logic … “Is this the login flow or an admin panel?”
- Real-time telemetry … “Is this endpoint actually getting hit?”
This transforms AppSec from a compliance exercise into a risk-informed practice. And it helps engineers focus on the five vulnerabilities that matter, not the 500 that don’t.
AI That Learns Your Fix Style
Is this one of the most thrilling advancements in this field? AI models that learn from your remediation history.
Your team can use the data from each vulnerability patch to refine future recommendations. Over time, the system understands:
- Your preferred patching style
- What constitutes “secure enough” in your org
- How your developers structure their code
So when similar issues arise, the AI provides not just technically correct solutions, but solutions that feel native to your team.
Remediation becomes faster, more consistent, and more scalable.
Agentic AI: From Copilot to Coworker
Let’s talk about something buzzy: Agentic AI.
Unlike traditional models that wait for a prompt, agentic AI operates with a degree of autonomy. It can:
- Continuously scan your environments
- Cross-reference new findings with threat intel
- Recommend, or even apply, patches
- Validate that the remediation was successful
Think of it as an AI-driven AppSec engineer that doesn’t sleep, doesn’t get tired, and doesn’t forget to close JIRA tickets.
Now, I’m not saying we’re ready to replace human engineers. But pairing humans with agentic AI systems dramatically reduces remediation overhead and frees up time for higher-order security architecture work.
Why This Matters for Modern Tech Companies
If you’re a CTO or CISO at a fast-moving SaaS or software-driven organisation, you’re walking a tightrope daily. You’re under pressure to:
- Ship features faster than ever
- Maintain high availability and performance
- Reduce exposure to security threats
- Stay compliant with evolving regulatory standards
And you’re expected to do all of this with lean security teams and overstretched engineering capacity.
This is where AI-powered automated vulnerability remediation becomes a strategic enabler, not just a technical convenience. By embedding AI into your Application Security workflows, you reduce the noise, zero in on the vulnerabilities that actually matter, and resolve them faster, often before they ever reach production.
It empowers developers to stay focused on delivering customer value without security becoming a bottleneck. It enables your security team to scale their oversight without scaling headcount. And it gives compliance teams concrete evidence that you’re not just detecting issues, you’re closing the loop quickly, intelligently, and consistently.
This is what modern, mature AppSec looks like, and AI is how you get there.
How Galah Cyber Puts AI to Work
At Galah Cyber, we’ve embedded AI into our Application Security services to support modern engineering teams at every stage of the SDLC:
AI-Powered Code Review
LLMs augment our manual reviews, highlight risky patterns, and suggest developer-friendly fixes before code hits production.
Intelligent Triage Engines
Rather than drowning clients in raw scanner output, we run them through AI systems that sort, prioritise, and route issues based on real business impact.
Secure Coding Assistance
Developers working with us get secure code with AI support right in their IDEs. No waiting, no confusion, just practical remediation guidance.
The result? Lower MTTR. Happier devs. And far fewer vulnerabilities are making it to production.
Final Thoughts
AI isn’t just another shiny tool in the security toolbox. In the hands of a capable, forward-thinking Application Security team, it becomes a true force multiplier. One that doesn’t just add speed, but fundamentally changes how organisations approach risk. It turns passive detection into meaningful action. It transforms alert fatigue into operational clarity. And most importantly, it helps your teams shift from reactive firefighting to proactive security engineering.
For too long, AppSec has been stuck in a loop, finding vulnerabilities faster than they can be fixed. But that’s no longer good enough. As software delivery speeds increase and attack surfaces expand, the gap between discovery and remediation is now one of the biggest risks facing modern businesses.
AI powered automated vulnerability remediation is how we finally close that gap. It’s how we empower developers to take secure action immediately, give security teams the scale they’ve always needed, and provide executives the confidence that their most critical systems are actually protected.
We’ve invested heavily in finding problems. Now, it’s time to fix them; fast, intelligently, and at scale.
Let’s stop treading water. Let’s fix more and worry less.
Next Steps
If you’re ready to move beyond endless vulnerability reports and start driving real risk reduction, now is the time to act.
Galah Cyber’s AI-driven approach to Application Security doesn’t just help you find issues, it helps you fix them faster, smarter, and at scale. Whether you’re looking to embed secure code practices into your SDLC, accelerate remediation timelines, or free your teams from manual triage, our solutions are built to deliver. Let’s explore how AI can transform your AppSec strategy from reactive to resilient.
Book a free AppSec maturity assessment or schedule a strategy call with our team today.
