aiFWall
Distributed, Contextual, Self-learning AI Security.
aiFWall
Distributed, Contextual, Self-learning AI Security.
Existing solutions weren't designed for Agentic AI. They use linear, input-only analysis that misses sophisticated attacks. aiFWall was built from the ground up for the AI-native enterprise.
Why traditional AI security tools fail to protect enterprise deployments.
Current defenses lack contextual awareness. This is especially problematic for long-duration Agentic AI operations where context evolves over time.
Solutions examine requests but neglect response analysis, missing sophisticated attacks that manipulate LLM outputs for data exfiltration.
Fragmented defenses fail to protect multiple enterprise AI access points and data sources, leaving gaps in your security posture.
Reliance on vendor updates leaves deployments vulnerable to zero-day threats. Your protection is only as current as their last patch.
Purpose-built architecture that addresses every gap in current AI security.
Analyzes request-response flows and user behavior patterns simultaneously, not just isolated inputs.
Machine learning modules that continuously adapt to your specific business deployment, improving over time.
Forward-looking technology architecture designed for the next generation of AI threats, not yesterday's problems.
Full AI risk visibility with prioritized findings, giving you actionable intelligence rather than noise.
Protects business and third-party AI applications across your entire deployment—not just one entry point.
Deploy in under 10 minutes with full customization options. No lengthy integration projects required.
A complete security framework rather than isolated point solutions that create gaps in protection.
Continuous innovation via collaborative intelligence across all deployments for global zero-day protection.
See the difference purpose-built AI protection makes. Request a free license for qualified US businesses with AI deployments.