Use Case

Runtime Assurance for AI-Coded Apps

Spektion detects runtime risks from known and unknown internal tools, AI-enabled and low-code citizen development, and third-party software in your environment in real-time.

Radar-style graphic monitoring app behavior with green labels for safe app actions like process spawning, file operations, and memory access, and red labels flagging anomalous AI-generated code risks such as privilege escalation, inconsistent error handling, API tokens reused, secrets in memory, and weak encryption.
See Spektion Surface Exploit Risks in LLM-Coded Apps

Software Exposure Is Growing Faster Than Teams Can Manage

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:

A dark square with a central circle connected by arrows pointing in multiple directions, labeled 'HALLUCINATED DEPENDENCIES Non-existent Packages.'
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).
Icon of a blue key entering a red outlined door with the text Hardcoded Secrets and Exposed Credentials below.
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.
Icon of a digital document with binary code and a red warning triangle representing missing security basics labeled 'NO SECURE DEFAULTS'.
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.
Icon of a laptop with a question mark symbol, labeled 'SHADOW IT Untracked Applications'.
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.
Graphic showing two outlined hands reaching towards each other with text 'Developer Overtrust' and subtitle 'False Confidence in AI Code'.
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.

Side-by-side screens showing AI security phases: Learning Phase listing normal baseline behaviors with green check marks, and Monitoring Phase highlighting detected deviations with red alerts on unexpected memory access, suspicious network traffic, privilege escalation, and unusual file operations.
Alert notification showing 'Runtime Risk Detected' that health.exe creates a new service InnovativeSolutions_monitor.exe, dated Jan 1, 2025.

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. Prioritize

Spektion provides a risk score that shows real risk in the context of your environment when CVSS scores aren’t available.

Table showing CVSS scores for two Windows OS versions v12.1.0.0 and v24.67.34.12, both with an F runtime score, highest CVSS of 9.6 and 9.5, critical vulnerabilities of 5 and 4, and high vulnerabilities of 5 and 4 respectively.
Cursor hovering over a button labeled 'Enable PPL for LSASS process' with a shield and lock icon on a dark interface background.

4. You get a prioritized risk view.

Including remediation next steps and options beyond patching.

Spektion delivers continuous runtime insight that’s easy to implement and provides immediate value, helping CTEM programs focus on what’s exploitable and actionable in real time.

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.

Software risk report showing an overall risk score of F, worsened by 6% in the last 30 days, with an unquoted service path vulnerability marked critical, describing the risk and compensating control advice.
Software risk report showing an overall risk score of F, worsened by 6% in the last 30 days, with an unquoted service path vulnerability marked critical, describing the risk and compensating control advice.
Software risk report showing an overall risk score of F, worsened by 6% in the last 30 days, with an unquoted service path vulnerability marked critical, describing the risk and compensating control advice.
Software risk report showing an overall risk score of F, worsened by 6% in the last 30 days, with an unquoted service path vulnerability marked critical, describing the risk and compensating control advice.

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.

Risk Type Vulnerability Scanners Spektion Runtime Monitoring
Unknown internal tools and citizen dev apps ❌ Not in asset inventory ✅ Detects when they connect to internal systems
Risks from AI-enabled rapid development ⚠️ May be visible in some deployment tools ✅ Flags risky runtime execution behavior
Third-party software with unknown updates ⚠️ Version tracking only ✅ Detects behavioral changes in real-time
Shadow IT deployments ❌ Completely invisible ✅ Catches runtime execution behavior
Privilege escalation in unknown apps ❌ ✅ Flags runtime privilege requests
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.”

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