AI-Native SAST
AI-native static analysis detecting business logic flaws, authentication bypasses, and IDORs with significantly fewer false positives than conventional tools.
Picari insights
Fast-moving software engineering and AppSec teams looking to detect complex business logic and access control vulnerabilities directly in CI/CD without the high false-positive overhead of traditional SAST.
- Rapid pre-commit or PR-level security scanning
- Detecting complex logic flaws like IDORs and auth bypasses
- Reducing alert fatigue for high-velocity engineering teams
- Organizations requiring compliance checklists bound to legacy SAST standards
- Air-gapped or on-premises environments with strict prohibitions on AI-driven code processing
- Legacy monoliths written in niche, unsupported programming languages
Ask about pricing, alternatives, or if AI-Native SAST is right for you.
- Personalized fit analysis
- See relevant alternatives
- Run an evaluation when you're ready
Core capabilities
Common use cases
Detecting race conditions in payment flows
Finding authentication bypasses and authorization flaws
Identifying training data exposure in AI applications
Things to consider
Every product has trade-offs, and which of them matter depends on your environment, your team and your timeline.
ZeroPath AI-Native SAST pricing and integrations
For ZeroPath AI-Native SAST integration and pricing details, ask Picari. Start a briefing with your question, such as whether it connects to your SIEM, identity provider and ticketing stack, or how it is priced at your seat count and data volume.
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Are you from ZeroPath? Verify this profileProfile last updated on 9 October 2026 by Picari.