Runtime Assurance for AI-Coded Apps

See Spektion Surface Exploit Risks in LLM-Coded Apps

Spektion is how vulnerability management teams can respond at speed and scale to software exploitation risk without stopping employees from building with AI. Our tool passively monitors all your software at runtime, showing a live view of risk regardless of how an application was built.

AI-Enabled Development Is Growing Your Attack Surface

AI and low-code tools make it easy for anyone in your organization to quickly build and deploy applications without security safeguards, increasing exploitation risks through:

• 
  Hallucinated Dependencies. 20% of repeatedly recommended packages called by AI don’t exist, creating a predictable attack surface. (University of Texas at San Antonio, 2025).
• 
  Hardcoded Secrets & Client-Side Authorization. LLMs often include API keys, tokens, or credentials directly in code or rely on insecure client-side authentication, making it easy for attackers to harvest keys or tokens.
• 
  No Secure Defaults. AI code assistants create “significantly less secure code” (Stanford University 2023). LLMs frequently skip security basics, such as input validation, secure cookies, or logging.
• 
  Shadow IT Expansion via Non-Devs and “Vibe Coding”. Non-technical staff are using AI to spin up apps, often with no security reviews. Internal tools handling sensitive data can go live without anyone being aware of their existence.
• 
  Developer Overtrust In AI-Generated Code. 48% of AI-generated code snippets contain vulnerabilities (Georgetown University 2024). Yet, the majority of developers, professional and amateur, assume AI-generated code is “secure by default” or lack the capacity to review code at speed.

Spektion Gives You Runtime Visibility Into AI-Written and Low-Code Apps In Your Environment

Spektion’s Runtime Vulnerability Management (RVM) technology can detect and prioritize exploitable vulnerabilities in the AI-coded apps that already live in your environment, even in applications you don’t manage.

Here's how:

1. A lightweight, passive, agent monitors your systems' runtime environment: RVM automatically learns what normal looks like for every application in your environment. Zero manual tuning required.

2. Flags deviations that indicate risk: Including unusual privileged operations or network access, memory access, elevated privileges, exploitation signals, and other suspicious runtime behaviors.

3. Software risk is scored based on runtime behavior. Spektion provides a risk score that shows real risk in the context of your environment when CVSS scores aren’t available.

4. You get a prioritized risk view. Including remediation next steps and options beyond patching.

Automated App Discovery and Vulnerability Management

Find and Secure AI-Coded Apps Built Outside the Pipeline

Spektion observes software applications, including low-code apps and LLM-coded tools, whenever they connect to your internal systems. This encompasses unauthorized apps that are not on your software registry.

Surface Dangerous LLM Code Risks Without Relying On CVEs

LLMs may reuse insecure patterns or invent unsafe logic. Spektion identifies runtime risks like:

• Excessive privilege flaws that aren't tied to known CVEs.
• Data security risks, such as utilization of insecure crypto.
• Execution risks, such as insecure memory management, can still exist even if the code passes SAST/DAST.

Scale Governance Without Stopping Innovation

Spektion acts as a runtime “tripwire” layer, flagging anomalies in all software (regardless of who coded it), so IT teams can get certainty into what’s actually active and dangerous.

Monitor Runtime Behavior for Dangerous AI-Generated Code

Spektion doesn't care how an application’s code was written; it detects real risks created by an app at runtime. This results in far fewer false positives and extremely accurate prioritization.

Detect AI-Coded Vulnerabilities That Scanners Miss

Spektion helps you transform vulnerability management from a reactive, signature-based process into a toolkit for managing high-tempo software risks, shadow IT, and vulnerabilities without needing access to source code.

Try a Vulnerability Management Solution Made for the AI Age

Manage AI-Driven Risk Without Adding Headcount or Blocking Innovation

Spektion detects risky behavior from all software running in your environment, not just the apps IT are aware of. This includes AI-generated code, low-code tools, internal scripts, open-source components, and unsanctioned shadow IT.

Whether software was written by a senior developer in your organization, generated in a Copilot prompt, or supplied by a third-party provider, Spektion sees signs of real exploitation before CVEs even exist, including:

• LLM-coded apps retrieving secrets with over-permissioned access.
• Business apps unexpectedly accessing sensitive memory regions.
• Citizen-built dashboards initiating insecure outbound connections.
• AI-generated services requesting elevated privileges.
• Runtime behaviors that resemble known malware patterns.

By combining behavioral signals with environmental context, Spektion gives you focused risk intelligence, so you can act on what’s actually dangerous, not just what scanners flag as “vulnerable.”

Get a Personalized Demo

AI-Generated Code Security Risk Reduction FAQs