AI Security Posture Management
Secure Your AI Innovation from Training to Deployment
Protect AI models, data, and infrastructure with comprehensive security posture management. Detect adversarial attacks, prevent data poisoning, and ensure responsible AI deployment at scale.
AI Security Posture Management
Secure Your AI Innovation from Training to Deployment
Protect AI models, data, and infrastructure with comprehensive security posture management. Detect adversarial attacks, prevent data poisoning, and ensure responsible AI deployment at scale.
AI Under Attack
The Growing Threat Landscape for AI Systems
As AI adoption accelerates, so do the sophisticated attacks targeting AI models, training data, and inference systems.
Data Poisoning
Malicious actors inject corrupted data into training datasets, compromising model integrity and causing biased or harmful outputs.
Prompt Injection
Attackers manipulate AI model inputs to bypass safety measures, extract sensitive information, or alter intended behavior.
Model Theft
Adversaries extract proprietary AI models through systematic querying, leading to intellectual property theft and competitive loss.
Shadow AI
Unmanaged AI tools and services used without IT oversight create security blind spots and compliance risks.
Beyond Traditional Security
AI Systems Need AI-Specific Security
Traditional security tools can't protect against AI-specific threats like adversarial examples, model inversion, or prompt injection. AI-SPM provides dedicated security for the unique attack surfaces of machine learning systems.
Complete AI Lifecycle Security
From Model Development to Production
Secure every stage of the AI lifecycle with integrated tools for discovery, assessment, monitoring, and remediation of AI-specific security risks.
AI Asset Discovery & Inventory
Automatically discover and catalog all AI models, services, and components across your infrastructure. Track managed and unmanaged AI assets to eliminate shadow AI deployments.
Model Security Assessment
Continuously assess AI models for security vulnerabilities, misconfigurations, and compliance issues. Monitor training data integrity and model behavior patterns.
AI Risk Prioritization
Intelligently prioritize AI security risks based on model criticality, data sensitivity, and potential business impact. Focus remediation efforts where they matter most.
AI Asset Discovery
Discover and Catalog Your Entire AI Estate
Automatically identify all AI models, services, and components across your infrastructure. Eliminate shadow AI deployments and maintain complete visibility into your AI attack surface.
Advanced Threat Detection
Detect AI-Specific Attacks in Real-Time
Advanced AI Security
Next-Generation AI Protection
Leverage cutting-edge security technologies designed specifically for the unique challenges of artificial intelligence and machine learning systems.
Adversarial Attack Detection
Advanced detection capabilities for adversarial attacks including prompt injection, data poisoning, and model inversion. Real-time monitoring of AI model inputs and outputs for malicious patterns.
AI Governance & Compliance
Comprehensive governance framework for AI systems including policy enforcement, audit trails, and compliance reporting for regulations like GDPR, NIST AI RMF, and industry standards.
MLSecOps Integration
Seamless integration with machine learning operations pipelines. Embed security testing into CI/CD workflows for AI models and automate security validation throughout the ML lifecycle.
Platform Coverage
Secure Every AI Platform and Framework
Complete security coverage across all major AI platforms, frameworks, and deployment models from cloud services to self-hosted installations.
Cloud AI Services
Complete coverage for managed AI services including AWS SageMaker, Azure AI, Google Vertex AI, and OpenAI API integrations.
Self-Hosted Models
Security monitoring for self-hosted AI models including Hugging Face deployments, custom ML frameworks, and on-premises installations.
Large Language Models
Specialized security controls for LLMs including prompt filtering, output monitoring, and fine-tuning security validation.
Computer Vision Models
Security assessment for computer vision systems including image recognition, object detection, and facial recognition models.
ML Pipelines
End-to-end security for machine learning pipelines including data processing, model training, and deployment infrastructure.
AI Development Tools
Security monitoring for AI development environments including Jupyter notebooks, MLflow, and other ML development platforms.
Data Protection
Protect Sensitive AI Training Data and Models
AI Governance
Responsible AI Development and Deployment
Ensure ethical and compliant AI development with comprehensive governance frameworks. Track model lineage, monitor for bias, and maintain audit trails for regulatory compliance.
Adversarial Defense
Protect Against Sophisticated AI Attacks
Advanced defense mechanisms against adversarial attacks including evasion attacks, poisoning attacks, and model extraction. Proactive testing and hardening of AI models against emerging threats.
MLSecOps Integration
Security-First AI Development
Embed security into every stage of your machine learning operations. Automated security testing in CI/CD pipelines, secure model deployment, and continuous monitoring throughout the ML lifecycle.
Secure Your AI Innovation Today
Protect your AI investments with comprehensive security posture management designed for the age of artificial intelligence.
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Complete Security Platform
Discover how AI-SPM integrates with our comprehensive security platform to protect your entire technology stack.