Aspen: Guardian AI
Proactive security guidance for AI-generated code
Turn real CI security findings into continuously updated AI guidance, so coding assistants adapt to your project instead of relying on static rules that quickly fall out of date.
Keep AI Coding Assistants Aligned with Your Secure Coding Standards
AI coding assistants are increasingly responsible for the patterns that get repeated across a codebase. When those patterns are insecure, teams end up fixing the same vulnerabilities over and over again in CI.
Aspen: Guardian AI closes that gap by connecting security findings directly to how AI assistants are guided—helping prevent known insecure patterns from being generated again.
Modern AI Development Requires New Rules
Intentional AI leads to better outcomes.
A new learning path for disciplined AI-driven development.
How Aspen: Guardian AI Works
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Uses Real CI Security Findings
Aspen: Guardian AI analyzes SAST findings from your CI pipeline to identify recurring and high-impact vulnerability patterns specific to your project. -
Converts Findings Into AI Guidance
Those findings are translated into concise, project-specific rules that guide AI coding assistants toward approved secure coding practices and away from known insecure implementations. -
Updates Existing Rule Files via Pull Request
Guardian AI updates your existing AI rule files—such as copilot-instructions.md or CLAUDE.md—through reviewable pull requests, giving teams full visibility and control. -
Evolves as Your Codebase Changes
As new issues appear, Aspen: Guardian AI continuously refines guidance so AI assistants stay aligned with changes in frameworks, architecture, and development practices. -
Reduce Repeat Vulnerabilities From AI-Generated Code
Most security tools identify problems after code is written. Aspen: Guardian AI focuses on preventing the same problems from recurring.
When AI-generated code is flagged as insecure in CI, Guardian AI feeds that signal back into the assistant’s guidance—reducing the likelihood that the same vulnerability pattern appears again. Over time, this leads to fewer repeat findings and less remediation effort for AppSec and development teams.
Designed for Developer Workflows
Aspen: Guardian AI integrates cleanly into existing engineering processes:
- No runtime enforcement or blocking controls
- No interruption to developer flow
- No replacement of existing AI coding assistants
All updates are transparent, version-controlled, and delivered through standard pull requests.
How Aspen: Guardian AI Differs from Other AI Security Approaches for Secure Coding
Many AI security approaches rely on static rules or generic guardrails that are applied broadly across projects. These controls rarely reflect real vulnerabilities and often fail to reduce repeat findings.
Other approaches typically:
- Apply fixed, one-size-fits-all AI rules
- Measure or score insecure AI-generated code
- Detect and remediate issues after code is written
Aspen: Guardian AI:
- Learns directly from real CI security findings
- Updates AI guidance at the project level
- Reduces repeat vulnerabilities over time
- Improves how AI assistants generate code, not just how issues are reported
Instead of enforcing static controls, Aspen: Guardian AI continuously adapts guidance based on how vulnerabilities actually appear in your codebase.