CoreLayer SecureAI

CoreLayer SecureAIFive Phases. Unlimited Attack Surfaces.

Each phase feeds intelligence to the others. A vulnerability found during Build generates a Test attack case. A Test exploit triggers Runtime enforcement. A runtime anomaly feeds back into Build rules. The platform gets smarter from every attack. Defend across all five lifecycle phases with unified intelligence.

1. 1

   Phase 1 - Build (CoreLayer Radar)

   Before a single line of code ships, Radar scans your system prompts, templates, and tool configurations for security vulnerabilities. It uses AST-style prompt parsing to detect injection surfaces, role overrides, and unsafe instructions that manual review would miss - all running 100% locally with zero cloud upload.

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2. 2

   Phase 2 - Test (CoreLayer Striker)

   Once your AI is built, Striker puts it under adversarial pressure. It runs 2,000+ real-world attack payloads across 15 categories - including prompt injection, role confusion, multi-turn coercion, and policy bypass - to find exploitable weaknesses before attackers do. It integrates directly into your CI/CD pipeline so security failures block deployment automatically.

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3. 3

   Phase 3 - Validate (CoreLayer Vault)

   Before going live, Vault performs a full pre-deployment security check. It audits your RAG pipeline for data poisoning risks, cross-tenant leakage, and missing access controls, while the Guardrail Checker validates your system prompt hardening, tool permissions, and output validation rules. Every scan produces a 0 to 100 Secure Deployment Score with specific remediation guidance.

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4. 4

   Phase 4 - Runtime (CoreLayer Shield)

   Once your AI is live, Shield provides continuous defense using three coordinated engines. LCAC controls what context the model can access. LBF monitors how the model behaves and detects zero-day jailbreaks through behavioral fingerprinting. CBE enforces hard limits on what the model can do, capping tool chaining depth and execution ceilings. All three engines share intelligence in real time, with policy evaluation in under 10 milliseconds.

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5. 5

   Phase 5 - End User (CoreLayer SecureAgent)

   At the final layer, SecureAgent protects the people interacting with your AI. It intercepts sensitive data - API keys, passwords, PII, Aadhaar, PAN, credit cards, UPI IDs, and credentials - and masks them locally before any prompt reaches an LLM. No data is ever collected, stored, or transmitted.

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