Autonomous AI Code Review & Deep Security Auditing
Stop vulnerabilities, architectural anti-patterns, and zero-day regressions before they reach production. Shree Keshavam combines deep AST static graphs with Claude reasoning to deliver near-zero false positive security audits.
Try the Interactive Security Sandbox
Select a vulnerability sample or edit code directly to see how Shree Keshavam analyzes Abstract Syntax Trees (AST) and flags zero-day exploits.
CWE-89: Improper Neutralization of Special Elements in SQL Command (SQLi)
Direct string interpolation of untrusted client input into raw SQL dialect. Attackers can bypass authentication completely by supplying `' OR '1'='1` or execute DROP queries.
// Remediation: Use Parameterized Prepared Statements const result = await db.query( 'SELECT id, email, password_hash FROM users WHERE email = $1 LIMIT 1', [username] ); // Validate password using secure bcrypt/argon2 comparison
Built for modern engineering teams who ship fast without breaking security
Empower developers with an autonomous security architect that acts as a second pair of eyes on every line of code.
Instant Pull Request Auditing
Automated bot reviews every commit and PR across GitHub and GitLab in under 12 seconds, posting actionable inline diffs directly in your workflow.
Deep AST Graph Synthesis
Unlike basic linters or pattern matchers, Shree Keshavam analyzes full execution call graphs to trace tainted data flows across files.
Powered by Claude 3.5 Sonnet
Leverages Anthropic's state-of-the-art coding and security reasoning to understand developer intent and slash false positive rates to <0.6%.
Full OWASP & CWE Matrix
Continuous protection against injection attacks, broken access controls, insecure deserialization, SSRF, memory leaks, and cryptography pitfalls.
Zero Training Data Retention
Your private proprietary source code is never used for training foundation models. Ephemeral compute nodes run in private enterprise VPCs.
SOC-2 Type II & GDPR Compliant
End-to-end TLS 1.3 encryption, role-based access management (RBAC), and detailed audit logs designed for banking and healthcare software teams.
How Shree Keshavam Integrates Claude 3.5 Sonnet
We bridge high-speed deterministic static code graphs with Anthropic Claude's contextual intelligence to eliminate false positives.
AST & Taint Flow Graph
When a developer pushes a PR, our compiler parser parses the syntax into an Abstract Syntax Tree (AST), mapping untrusted HTTP inputs through function calls to database queries.
Claude 3.5 Reasoning Core
The AST graph and suspicious execution paths are streamed to Claude 3.5 Sonnet via prompt caching, which evaluates developer intent, custom sanitizers, and edge-case exploitability.
Automated Remediation & PR Bot
Within seconds, Shree Keshavam publishes verified zero-hallucination PR comments with 1-click apply git diff patches and CWE/OWASP remediation instructions.
Strict Customer Privacy & Enterprise Sovereignty
Data processed in ephemeral RAM only. Never used to train public or proprietary models.
Start Free. Scale as you secure more repos.
All plans include deep AST security audits, zero code training retention, and GitHub/GitLab integration.
Starter
Open SourcePerfect for solo developers and open-source project maintainers.
- Up to 3 public repositories
- 50 PR scans per month
- OWASP Top 10 Vulnerability scanning
- Automated git patch diffs
Team & Scale
Growth SaaSFor fast-shipping teams that need compliance and continuous security.
- Unlimited private & public repositories
- Unlimited PR & Commit audits
- Claude 3.5 Sonnet deep AST reasoning
- Zero code retention guarantee
- Slack & Discord alert notifications
Enterprise
CustomCustom VPC deployment, on-prem options, and dedicated SLA support.
- Self-hosted on AWS/GCP/Azure VPC
- Custom fine-tuned vulnerability rules
- SOC-2 & HIPAA BAA signing
- Dedicated Slack channel & 1h SLA
Frequently Asked Questions
Everything you need to know about our security auditor and Claude reasoning platform.