Viktor.comAn AI coworker that actually does the work
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CybeDefend
Empower your code, Empower your security
52 followers
Empower your code, Empower your security
52 followers
CybeDefend uses AI to catch vulnerabilities as you code. SAST, SCA & IaC security in real time empower by AI, right inside your workflow. No delays. Just smart, secure shipping.
Love your work. Can CybeDefend be set up for custom rules or compliance standards like SOC 2 or HIPAA?
@jude_gray Thank you for the kind words! Custom rules and compliance standards like SOC 2 and HIPAA aren't available in our alpha release, but they're definitely on our priority roadmap for the Beta version. We understand how critical these compliance frameworks are for many organizations, so we're working to implement robust support for them as one of our next major features. Stay tuned for updates!
In an era where threats evolve by the second, CybeDefend stands as your silent guardian. Powered by cutting-edge technology, it detects vulnerabilities before they become breaches. Fast, intelligent, and relentlessly vigilant, CybeDefend gives you the confidence to move forward—securely. It’s not just protection. It’s peace of mind.
Great topical product but where is artificial intelligence ?
I upvote you!
@john_nelmit Thank you for the upvote and great question!
The AI in CybeDefend is working behind the scenes in several ways:
Our intelligent security champion automatically contextualizes vulnerabilities
Enhanced SAST with machine learning for better detection with fewer false positives
Dataflow analysis to track vulnerabilities through your codebase
We're currently developing AI-powered auto-remediation features
You can see what we're working on next in our roadmap: https://cybedefend.featurebase.app/en/roadmap
How does it tackle false positives? Is there a learning loop or some kind of context-aware prioritization in place?
@carlos_finley Thanks for your question! As we're still in alpha, managing false positives is one of our key focus areas. We're currently developing a context-aware system that analyzes the complete dataflow from source to sink for each vulnerability. For example, with Path Traversal vulnerabilities, traditional scanners often flag issues without understanding the full code path, leading to false positives. Our approach traces the entire vulnerability path and uses AI to provide relevant analysis of whether it's exploitable in context. This feature will be available in our upcoming Beta release - we'll keep you posted on our progress! Thanks for your valuable feedback.
AskCodi
Love the dev-first mindset here. Curious—how do you balance real-time scanning with performance, especially inside the IDE? Would be great to hear how you’re tackling that trade-off.