Protect AI
VS
Aim Security
Protect AI
Protect AI provides a comprehensive platform for securing Artificial Intelligence. It enables Application Security and ML teams with end-to-end visibility, remediation, and governance capabilities, crucial for maintaining the security of AI systems and applications against unique vulnerabilities.
The platform supports organizations whether they are fine-tuning existing Generative AI foundational models, developing custom models, or deploying LLM applications. Protect AI's AI-SPM platform facilitates a security-first approach to AI, ensuring comprehensive protection across the entire AI lifecycle.
Aim Security
Aim Security provides comprehensive security solutions designed to enable the safe adoption and integration of AI technologies within organizations. The platform offers 360-degree protection, covering everything from initial discovery to ongoing enforcement and protection, ensuring that businesses can leverage AI's benefits without exposure to its inherent risks.
Aim Security's solutions address a wide range of AI-related security concerns, including data leakage, intellectual property infringement, malicious outputs, sensitive information disclosure, and insecure configurations. The platform integrates seamlessly with existing security environments, offering real-time data protection policies and robust security guardrails for both third-party and internally developed AI applications. Aim Security helps businesses maintain compliance with data privacy and GenAI regulations, promoting responsible and secure AI adoption across the enterprise.
Pricing
Protect AI Pricing
Protect AI offers Contact for Pricing pricing .
Aim Security Pricing
Aim Security offers Contact for Pricing pricing .
Features
Protect AI
- Guardian: Enable enterprise-level scanning, enforcement, and management of model security to block unsafe models.
- Layer: Provides granular LLM runtime security insights and tools for detection and response to prevent unauthorized data access.
- Recon: Automated GenAI red teaming to identify potential vulnerabilities in LLMs.
- Radar: AI risk assessment and management to detect and mitigate risks in AI systems.
Aim Security
- Discover: Comprehensive inventory of all AI apps across the organization.
- Detect: Identify applications that store and learn on your data and understand data connections to LLMs.
- Enforce: Gain insights on AI adoption and ensure compliance with data privacy and GenAI regulations.
- Protect: Securely connect data assets to your organizational LLM and deploy Copilots securely.
Use Cases
Protect AI Use Cases
- Securing ML model development and deployment
- Preventing unauthorized data access in LLM applications
- Identifying vulnerabilities in LLMs through red teaming
- Managing and mitigating risks across the entire AI lifecycle
- Ensuring compliance with AI security regulations
Aim Security Use Cases
- Secure organizational AI use while leveraging existing security environment.
- Discover shadow AI tools and reveal their risks.
- Apply real-time data protection policies.
- Secure internal LLM deployment.
- Protect AI-based applications from prompt injections and jailbreaks.
- Ensure compliance with data privacy and GenAI regulations.
- Secure Microsoft 365 Copilot.
Uptime Monitor
Uptime Monitor
Average Uptime
99.79%
Average Response Time
239.5 ms
Last 30 Days
Uptime Monitor
Average Uptime
99.72%
Average Response Time
226.57 ms
Last 30 Days
Protect AI
Aim Security
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