Full Lifecycle AI Security

Layers of Trustfor AI build

Uncover hidden security gaps in AI and complex systems. Build resilience and operate securely in an ever-evolving threat landscape.

Learn more
2,000+Attack PayloadsCOVERAGE
9+OWASP LLM Top 10 RulesCOMPLIANCE
<10msRuntime Policy EvaluationSPEED
100%Local ExecutionPRIVACY
2,000+Attack PayloadsCOVERAGE
9+OWASP LLM Top 10 RulesCOMPLIANCE
<10msRuntime Policy EvaluationSPEED
100%Local ExecutionPRIVACY
SecureAI Platform

Five Phases.
Unlimited Protection.

01

Build - CoreLayer Radar

Scan system prompts, templates, and tool configurations for security vulnerabilities before deployment. AST-style prompt parsing detects injection surfaces and unsafe instructions.

02

Test - CoreLayer Striker

Adversarial testing that goes beyond functional QA. Identify jailbreak vectors and attack surfaces that remain invisible until production.

03

Validate - CoreLayer Vault

Continuous validation ensures your AI systems meet security baselines. Automated compliance checks against OWASP LLM Top 10 and MITRE ATLAS frameworks.

AB
04

Runtime - CoreLayer Shield

Sub-10ms policy evaluation at inference time. Real-time enforcement of security policies with zero-day behavioral detection.

05

End User - CoreLayer SecureAgent

Protect end-user interactions with intelligent guardrails. Secure-by-default deployment templates for enterprise AI applications.

customer@acme.comcard ··· 4242*******************************
Process

Three steps.
Complete AI security.

secureai.config
1$secureai scan --environment production
2
3Discovering AI assets...
4Scanning integrations: 100% (47/47)
5Validating configurations...
6
7 Environment scan complete
Ready
Deployment

Deploy
anywhere.

Cloud-agnostic deployment with enterprise-grade security. On-premise, hybrid, or cloud-native - no architecture rewrite required.

100%
Local execution
Zero
Data leakage
<10ms
Policy evaluation
Deployment OptionsAll supported
AWS
Cloud Native
Ready
Azure
Cloud Native
Ready
GCP
Cloud Native
Ready
On-Premise
Private Cloud
Ready
Hybrid
Mixed Environment
Ready
Air-Gapped
Isolated Networks
Ready
Platform Metrics

Built for Enterprise
AI Security.

Live|-
0+
Attack Payloads
0+
OWASP LLM Top 10 Rules
<0ms
Runtime Policy Evaluation
0%
Local Execution - Zero Data Leakage
New Launch

Meet Secure Agent,
Browser-Native AI Protection.

CoreLayer Security's Chrome extension now protects prompts at the user edge. Secure Agent detects and masks sensitive data before it reaches any LLM, helping teams reduce exposure from copy-paste leakage and unsafe prompt sharing.

Built for secure day-to-day AI usage across teams, with local-first inspection and zero data storage by default.

Explore Secure Agent
Model Support

Works with any
LLM provider.

Model-agnostic. Cloud-agnostic. One control plane for your entire AI estate.

OpenAI
LLM Provider
Anthropic
LLM Provider
Mistral
LLM Provider
Hugging Face
Open Source
AWS Bedrock
Cloud LLM
Azure OpenAI
Cloud LLM
Google Vertex
Cloud LLM
LangChain
Framework
LlamaIndex
Framework
GitHub Actions
CI/CD
Jenkins
CI/CD
Kubernetes
Infrastructure
OpenAI
LLM Provider
Anthropic
LLM Provider
Mistral
LLM Provider
Hugging Face
Open Source
AWS Bedrock
Cloud LLM
Azure OpenAI
Cloud LLM
Google Vertex
Cloud LLM
LangChain
Framework
LlamaIndex
Framework
GitHub Actions
CI/CD
Jenkins
CI/CD
Kubernetes
Infrastructure
Kubernetes
Infrastructure
Jenkins
CI/CD
GitHub Actions
CI/CD
LlamaIndex
Framework
LangChain
Framework
Google Vertex
Cloud LLM
Azure OpenAI
Cloud LLM
AWS Bedrock
Cloud LLM
Hugging Face
Open Source
Mistral
LLM Provider
Anthropic
LLM Provider
OpenAI
LLM Provider
Kubernetes
Infrastructure
Jenkins
CI/CD
GitHub Actions
CI/CD
LlamaIndex
Framework
LangChain
Framework
Google Vertex
Cloud LLM
Azure OpenAI
Cloud LLM
AWS Bedrock
Cloud LLM
Hugging Face
Open Source
Mistral
LLM Provider
Anthropic
LLM Provider
OpenAI
LLM Provider
Security

Full OWASP LLM
Top 10 Defense.

Every vulnerability addressed at multiple lifecycle phases. Full coverage of LLM01 through LLM10. MITRE ATLAS framework alignment.

OWASP LLMMITRE ATLASLLM01-LLM10Enterprise-Ready

Full Lifecycle Coverage

The only platform that instruments all five phases - Build, Test, Validate, Runtime, End User - with shared telemetry.

Multi-Model Support

Platform-agnostic coverage. Works with OpenAI, Anthropic, Mistral, and open-source models.

Cloud-Agnostic

AWS, Azure, GCP, or on-premise. Sub-10ms policy evaluation. No architecture rewrite required.

Policy-as-Code

YAML-based policy configuration gives teams full control. Customizable security architecture with no rigid lock-in.

For Decision Makers

Every stakeholder needs AI security.

From CISO to Developer. CoreLayer speaks to the security needs of every role in AI deployment.

For the CISO

Centralized AI asset inventory. Continuous compliance evidence. Lifecycle Risk Quantification. Transforms AI governance from documentation-driven to system-driven.

For the CTO

Programmable AI control plane. Sub-10ms inference-time policy evaluation. Policy-as-Code (YAML). Adversarial CI integration. No architecture rewrite.

For Security Teams

Lifecycle red team + blue team integration. Zero-day behavioral detection. Unified telemetry. Measurable, reportable AI security posture.

For the Developer

IDE integration and CI/CD plugins. Real-time policy feedback during development. Model validation and testing tools. Secure-by-default deployment templates.

# Governance, system-driven
inventory: centralized_ai_assets
compliance: continuous_evidence
risk: lifecycle_quantification
governance: documentation  system-driven

Secure your
enterprise AI.

Full-lifecycle AI security from prompt to production. Unified platform. Shared intelligence. Enterprise governance.

Contact Sales

Enterprise-ready deployment