Security First
Every product decision starts with a security question. We do not bolt on security later.
Our Mission
Security for the Agentic Era
AI agents now execute real workflows across tools, APIs, and internal memory. Traditional app security tools were not built for this runtime behavior.
FortifAI exists to protect agent execution paths with benchmark-aligned adversarial testing and controls.
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Attack Vectors
Active threat patterns tested
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Benchmark Categories
Full LLM Top 10 coverage
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Detection Rate
Accuracy on benchmark suite
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Integration
From install to first scan
Why we built FortifAI
Defense for AI agents
Prompt hijacking, memory poisoning, and tool misuse are not theoretical. These are active attack paths in modern autonomous AI systems.
We built FortifAI as a practical enforcement layer that runs beside your agent pipeline without forcing framework rewrites.
Our goal is direct: make AI agent security measurable, reproducible, and operationally useful for every engineering team.
fortifai — scan
How It Works
Three steps to secure execution
01
Route
Agent requests are routed through FortifAI. No framework changes or SDK rewrites required.
02
Analyze
Each request is tested against 150+ attack vectors spanning the full LLM Top 10.
03
Enforce
Threats are blocked in real-time with a full audit trail for every security decision.
Principles
What We Stand For
The same standards guide product architecture, detection logic, and customer support.
Benchmark-Driven
Our threat model and roadmap stay aligned with published agentic security benchmarks and frameworks.
Transparency
We show what is protected, what is not, and the exact controls behind each defense.
Enterprise Readiness
Built for teams that need auditability, clear controls, and predictable security behavior.
Building AI agents now?
Start with FortifAI and add benchmark-aligned security controls to your agent pipeline from day one.