Intelligent ASPM
Catch the vulnerabilities other scanners can't see
Krait scans your code, maps every API endpoint into a call graph, and surfaces the issues that are truly exploitable. Nothing else.
The Krait Way
AI-selected subset of all workspace findings
Need Your Attention
of 918 total workspace findings · 51%
filtered out
Prioritized · Severity Breakdown
Krait Understands Your Code
Krait creates an API inventory and Call Graphs for each endpoint, showing how APIs interact and how user inputs move through your code. It uncovers vulnerabilities and suggests fixes. Use Deep Scan to explore every layer of your system.
Krait turns scattered signals into a single, contextual view
Repositories, containers, and APIs - connected and scanned in one pass. Krait links each image back to the repo it was built from, so a vulnerable dependency baked into both is matched: both findings stay, but a single patch resolves them together.
repository
PyYAML 5.3.1 · requirements.txt
container image
PyYAML 5.3.1 · baked into image
Bump PyYAML 5.3.1 → 5.4
One patch resolves both findings
2
findings · kept
1
fix · clears both
CodeSASTSecretsDependenciesIaC
Static analysis, entropy-based secrets detection, reachability-filtered dependency alerts, and IaC misconfiguration checks.
ContainersDocker Hub
Scans images for OS package and dependency vulnerabilities, then links each one back to the matching finding in its source repo.
APIsCall graphBroken Access ControlSSRFXSSRCESQL Injection
Auto-discovers every endpoint and builds a per-route call graph, then runs an AI Deep Scan that catches RBAC and broken access control flaws alongside Server-side Request Forgery, Cross-Site Scripting, Remote Code Execution, and SQL injection.
Flag only the vulnerabilities your code actually calls
Most scanners alert on every CVE in your dependency tree - including packages your code never executes. Krait builds a per-project dependency graph, traces which packages are actually invoked in your call paths, and suppresses everything else. Unexploitable CVEs stay out of your queue entirely.
Build dependency tree
Krait maps every package your code imports — direct and transitive — across all repos and containers.
Trace call paths
Only packages actually invoked in your call paths are considered. Imports that are never reached are excluded.
AI exploitability check
Remaining CVEs are evaluated for exploitability in your environment. Theoretical-only findings are suppressed.
Flooded with unexploitable CVEs
Only reachable, exploitable risk
Typical results from early pilots
Alerts per week
Time spent triaging
False positive rate
Built by security experts
Our team brings together decades of experience in application security, penetration testing, and building tools that solve real problems.
Md Tarek Siddiki
Founder
Elizabeth Ramirez
Co-Founder
Nayeem Uzzaman
R&D Engineer
Annoor Sharara
Product Manager
Tasfia Tabassum
Software Developer
Jinia Tabassum
Compliance Expert
Al Mubin Nabil
R&D Engineer
Member of NVIDIA Inception Program
We are excited to announce that we are now a member of the NVIDIA Inception Program. This collaboration will support our future efforts to leverage advanced AI technologies, and accelerate innovation across our platform.
Got questions? We have answers
Everything you need to know about how Krait works, what data we access, and how we keep your systems secure.
How does Krait access my data, and what level of access is required to perform security scans?
Krait accesses your data using secure, read-only integrations based on the permissions you explicitly grant during setup. Access is limited strictly to what is required to perform security analysis, such as reading repository metadata, dependency manifests, or configuration files. Krait does not modify your code, write back to your repositories, or access data outside the approved scope, and all access is governed by OAuth permissions, audit logs, and strict isolation controls.
How does Krait know which vulnerabilities actually matter?
Krait identifies what vulnerabilities truly matter by building a dependency graph of your application to understand how packages and functions are actually used. Instead of flagging issues based only on the presence of a vulnerable dependency or its CVE score, Krait analyzes whether the vulnerable code paths are genuinely called, reachable, and relevant in your specific context. By considering how and where a function is used within your application, Krait focuses on real risk rather than theoretical exposure—helping teams fix the issues that actually impact security.
Does Krait store my code, data, logs, repository content, or scan outputs?
No. Krait does not store your source code, repository content, or configuration files. All analysis is performed in-memory during the scan. Only minimal, non-sensitive metadata required to present findings, such as issue identifiers, severity, and timestamps, is retained, and this data is handled in accordance with Krait's strict data retention and privacy policies.
How does Krait find Broken Access Control issues?
Krait addresses broken access control by building an API inventory and API access trees to understand how requests and permissions flow through the system. It uses a multi-agent framework to trace user-controlled inputs across the call graph, analyzing role-based access control and related risks such as SSRF, SQL injection, and remote code execution. A validator agent filters out false positives, and Krait uses repository context to suggest targeted code fixes for each issue.
Does Krait use my data or source code to train large language models (LLMs)?
No. Krait does not use your data, source code, scan results, or metadata to train large language models. All analysis is performed solely to deliver security findings for your environment, and customer data is never reused for model training, shared across tenants, or incorporated into any external or internal AI training pipelines.
Source: The Hacker News