Security Principles & Invariants
KlecherAI is engineered with defense-in-depth security, strict context isolation, and mathematical verification of zero data contamination.
Sub-50ms Micro-VM REPL Sandboxing
All execution occurs in ephemeral, network-isolated sandboxes with hardened seccomp filters and zero host filesystem access.
Cryptographic Workspace Vaults
Each project is sealed in an isolated vault with row-level security (RLS) and encrypted vector index partitions.
Deterministic Context Grounding
Direct citations mapped back to verified source AST tokens with strict mathematical hallucination bounds.
Zero Training & Zero Egress
Private chats and source files are never transmitted to third-party data brokers or cached for foundation model training.
Defense-in-Depth Invariant Matrix
Deterministic mitigations verified against OWASP Top 10 and enterprise Next.js security standards.
Zero untrusted scripts or unsafe inline evaluations. Restricts outbound network connections strictly to verified endpoints.
Constant-time SHA-256 digest comparison eliminates timing side-channel attacks during administrative authentication.
HTTP X-Robots-Tag: noindex, nofollow and robots.ts automatically filter aggressive commercial AI scrapers.
In-memory sliding window throttles brute-force attempts with automatic 15-minute lockouts.
All user data, waitlist submissions, and ephemeral execution artifacts are processed in sovereign Indian datacenter regions (ap-south-1 Mumbai & Hyderabad). We enforce zero cross-border telemetry transmission and zero third-party AI training consent.
Responsible Disclosure Program
We value the security research community. If you discover a vulnerability or security invariant failure, please report it to our team at security@klecherai.in. We acknowledge reports within 12 hours and reward valid submissions.