Safely Sandbox And Build Across The Agentic Universe
A single AI security layer that scales across all agent use cases, keeping data protected
and agent behavior within safe, approved boundaries.
Unlock AI Value Without Risk
Intent-aware AI security that protects sensitive data, safeguards innovation, and gives leaders confidence as AI adoption grows.
Protect your environment & data while building MCP and other AI tools.
Easily deploy security for your network with three levels of deployment.
A Holistic Solution: Governance, Guardrails, and Protection
Unifies governance, guardrails, and protection into a single system that secures AI from policy to production.
PromptShield™ Deployment Options
From edge to core, PromptShield™ adapts to your architecture: cloud, on-prem, or hybrid with scalable inspection depth.
L1 Presence Detection plug & play / no risk | L2 Full Detection plug & play / very low risk | L3 Inline Blocking redundancy required | |
PromptShield™ AI Firewall & Intent Engine included in every deployment | ✓ Active Intelligence and dashboards | + 2 way threat detection and logging + Collects risk data compiled but no traffic blocked | + Blocks malicious prompts in real time + Rewrites unsafe responses + Enforces policy decisions in-path |
On Premises / Virtual Machine | ✓ IDS Node, virtual or plug and play device ✓ Set-up with ongoing support | + PromptShield™ attached to firewall handling only AI domains | + Enterprise level rack mount |
Cloud | ✓ AWS/Cloud deployment ✓ VM machine & Container | + AI domains steered entirely for PromptShield™ handling | + Secure AI Gateway for complete AI traffic flow control + High performance VM/full load balancing |
Built To Secure AI Wherever It’s Used
PromptShield™ secures AI at each stage input, interaction, and output across every role and use case.
1
External AI Interaction
2
Response Inspection
3
Content Filtering
4
Safe Delivery
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PromptShield™ Intake
2
Semantic Analysis
3
Content Filtering
4
Clean Pipeline
1
Workflow Initiation
2
Dual Inspection
3
Safety Enforcement
4
Workflow Execution
1
Traffic Routing
2
Inline Inspection
3
Security Action
4
Service Delivery
1
Request Interception
2
Intent Evaluation
3
Safety Processing
4
Application Delivery
Frequently Asked Questions
Explore real-world AI security use cases—from employee tools to AI apps, infrastructure, and data centers. Protect AI wherever it runs.
What Are The Primary AI Security Risks Organizations Face Today?
Organizations increasingly face risks from adversarial AI attacks that can manipulate machine learning models. These attacks exploit vulnerabilities in AI systems through techniques like prompt injection, data poisoning, and model evasion. Additionally, human-initiated AI risks, such as unintentional data exfiltration and misuse of AI tools, pose significant threats.
Unintentional AI harm, including bias and unsafe autonomy, can lead to operational disruptions and reputational damage. Understanding these risks is essential for developing a comprehensive AI security strategy.
How Can Organizations Protect Their AI Applications From Adversarial Attacks?
To safeguard AI applications from adversarial attacks, organizations should implement intent-based detection mechanisms that monitor and analyze AI outputs for signs of manipulation. Continuous monitoring of AI systems is crucial to detect and respond to anomalies promptly. Robust input validation processes can prevent malicious data from influencing AI models.
Educating staff about the risks of adversarial attacks and promoting secure AI development practices are also vital steps in fortifying AI applications against such threats.
What Is Intent-Based Security, And How Does It Address Human-Initiated AI Risks?
By analyzing the semantic meaning of AI interactions, organizations can detect and mitigate risks such as data exfiltration, model misuse, and insider threats. This approach ensures that AI systems align with organizational goals and comply with security policies, reducing the likelihood of human-initiated AI risks.
What Roles Does An AI Firewall Play In AI Security, And How Does PromptShield™ Enhance This Protection?
PromptShield™ is an intent-based AI Prompt WAF that specifically focuses on safeguarding AI systems by analyzing and filtering prompts to prevent adversarial attacks and unauthorized actions.
By integrating PromptShield™, organizations can enhance their AI security posture by ensuring that AI interactions align with intended purposes and security policies.
What Best Practices Should Organizations Follow To Secure Their AI Infrastructure?
Organizations should ensure that AI systems are integrated into their existing security frameworks, with clear policies governing their usage. Regular training for staff on AI security risks and best practices is essential. Additionally, establishing incident response plans specific to AI-related threats can help organizations respond effectively to potential security breaches.