Less noise, more security, and a potentially regrettable stage dive...
Paranormal Pulse February 2025

Less noise, more security, and a potentially regrettable stage dive...

Security teams are overwhelmed. Alerts keep piling up, false positives waste time, and legacy tools make the problem worse. Instead of solving real security issues, teams are stuck chasing noise.

Ghost Security is fixing this. With Agentic AI-powered security testing, we’re eliminating blind spots, cutting through false positives, and making security workflows faster and smarter. This month, we’re rolling out a new approach to application security, launching a podcast, and preparing for a big RSA moment.


The Problem: Security Teams Are Outnumbered and Outgunned

?? Security teams are vastly outnumbered—two or three security engineers supporting 50+ developers is the norm.

?? False positives are everywhere—SAST tools flood security teams with container misconfigurations and secrets while missing vulnerabilities in first-party code.

?? Fixing vulnerabilities takes too long—Findings lack context, making it difficult to validate issues, assign them to the right developer, and push a fix without slowing down engineering.

CAST: AI-Powered Security Testing That Cuts Through the Noise

CAST (Contextual Application Security Testing) is Ghost Security’s AI-powered security testing approach that goes beyond SAST and DAST. Instead of scanning code blindly, CAST analyzes it like an engineer would—contextually, intelligently, and with real risk awareness.

Traditional application security tools are broken. Static and dynamic scanners flood security teams with false positives, miss complex vulnerabilities, and leave teams buried in manual triage. Developers waste time fixing the wrong issues, while real security threats slip through the cracks.

CAST changes that.

Why CAST?

?? AI-powered precision – CAST eliminates over 80% of false positives by analyzing code contextually rather than relying on static rules.

?? AI-assisted API and business logic testing – Finds vulnerabilities traditional scanners miss, including authentication flaws, logic bugs, and BOLA attacks.

?? AI-driven runtime correlation – Determines real-world risk based on where vulnerabilities exist, what data they touch, and how exploitable they are.

?? AI-based risk scoring – Prioritizes vulnerabilities based on severity, business impact, and exploitability so teams fix what actually matters.

How CAST Works

?? Understands Code Like an Engineer – CAST builds a CodeGenome Map that reveals how code files and functions interact, surfacing deep security flaws that legacy tools miss.

?? Knows What’s Exposed – Unlike SAST, which scans in isolation, CAST correlates code findings with runtime data to determine if a vulnerability is actually exploitable.

? Stops the Alert Fatigue – Instead of overwhelming security teams with endless findings, CAST uses AI to prioritize the most critical risks—no more chasing low-impact issues while real threats go ignored.

?? Tells You Who Should Fix It – CAST eliminates the guesswork, pinpointing the exact developer or code owner responsible for each issue.


Use Case

Let’s look at the following sample SAST finding:

Finding Title: Express Mongo Nosqli        
Finding Description: Detected a $IMPORT statement that comes from a $REQ argument. This could lead to NoSQL injection if the variable is user-controlled and is not properly sanitized.?        

In this case, the SAST scanner detected a pattern in source code that could be a vulnerability if certain conditions are true. Unfortunately, the SAST scanner can’t determine if those conditions do exist, leaving the human AppSec analyst or developer to decide whether or not this is a risk.

By using CAST, Ghost:

  1. Checks if unsanitized user-controlled input flows into the $IMPORT statement.?
  2. Determines if the function where the vulnerability was found is associated with a runtime entity (typically an API Endpoint).

If both of the above are true – the conditions exist for the vulnerability to be exploited and the vulnerable code is deployed to a running API – then Ghost elevates the finding to an Active Vulnerability. If either or both are false, then Ghost surfaces the finding as a Potential Risk.?

  • Active Vulnerabilities present a real opportunity for an attacker to exploit the App or API and so should be prioritized for remediation.?
  • Potential Risks may be fixed as a best practice to improve code security hygiene but are not top-priority since they are not actively exploitable issues.


Why It Matters

Legacy security tools scan code. CAST understands it.

SAST and DAST tools force security teams into a never-ending cycle of triage, verification, and manual fixes. CAST changes the game by automating what matters, eliminating what doesn’t, and making security truly actionable.

See it in action today!


??? Ghost Security Launches a Podcast

Greg Martin just had two major launches—one is a newborn, the other is a podcast. Introducing... "Dialed In with Greg Martin"!

Episode 1: Bob Kruse, CEO of Arms Cyber

?? What you’ll take away:

?? The two types of CEOs—visionary vs. operator

?? Why buyers invest in vision, not just products

?? The hard truth about hiring a CRO too soon

?? How to pick VCs who actually give you an edge

?? Listen to the episode Listen now


?? RSA 2025: The First-Ever Security Stage Dive?

Bob Kruse, Greg Martin, and Colby DeRodeff are planning to stage dive at RSA. Yes, really.

The only question is whether the crowd will be ready.


sorry we like to party ??

?? See It in Action

Want to see how Ghost Security is eliminating noise, blind spots, and manual work for security teams? Book a demo today.


What’s Next?

We’re just getting started. More AI-powered security innovations, more thought leadership, and possibly more questionable decisions at RSA.

Follow Ghost Security to stay in the loop, and if you see Greg, Bob, or Colby mid-air at RSA, maybe think about catching them. ??

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