Dheemai, "Full of Intelligence" in Sanskrit, builds AI platforms for cybersecurity, deepfake and document forensics, KYC verification, and data privacy.
Purpose-built platforms across voice, documents, and code, each hardened for enterprise trust.
Confirms the enrolled candidate is the one answering, and flags read-aloud or AI-generated answers. On-prem, zero data egress.
Learn more →Detects manipulated invoices, forged receipts, deepfake IDs, and AI-generated documents with forensic precision.
Learn more →The AI security reviewer for AI-written code: SAST, SCA, secrets, IaC, and license scanning on every GitHub PR.
Learn more →SAST, SCA, secrets, IaC, license, and typosquat checks on every GitHub pull request, without building a CI security pipeline.
An LLM pass flags injection, broken auth, SSRF, and insecure crypto in AI-generated code.
npm, PyPI, and Go checked against OSV and the GitHub Advisory Database, plus typosquats, leaked keys, and IaC posture.
A GitHub App. No CI configuration, no tokens, and daily rescans catch CVEs disclosed after merge.
12 files changed, 3 dependencies added
Live credential committed on line 42, flagged before merge.
Blocked · HighNo typosquats, and no reachable vulnerabilities in the changed paths.
CleanAI reasoning applied at inference on every scan, never training on your code.
Aligned to GDPR, SOC 2, and the NIST Cybersecurity Framework.
ISO 27001-aligned, end-to-end encrypted, zero-trust by default.
Impersonation, cloned voices, and off-mic coaching that proctoring misses.
How eleven AppSec platforms compare on pull-request security.
A model ran a dependency-confusion attack, and fifteen machines ran the payload.
How Dheemai verifies image and document authenticity.
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