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Discover our mission and achievements
Theori empowers your AI with built-in defenses—strong, scalable, and ready for the real world. As AI advances, so do harder-to-detect attacks. Evolving threats demand AI-native security—now more than ever. Collaborate with AI experts to identify and prioritize risks across the full AI lifecycle.
Key Actions
- Detect flaws in logic and flow that create exploitable vulnerabilities in AI-driven services.
- Simulate real-world adversarial behavior to validate AI security in practice.
- Apply a structured approach to AI security, aligned with real-world threats and evolving regulations.
- Secure your AI stack from prompt injection to backend access control.
Define AI Security Goals
- Map attack surfaces.
- Analyze models and applications for weak points.
- Gather system data, source code, and access for testing.
Identify Security Gaps
- In AI infrastructure, data pipelines, and APIs.
- Access system behavior, data flow, and exposure to threats.
Simulate Real-World Attacks
- Conduct prompt injection and model manipulation.
- Execute PoC attacks to expose critical weaknesses.
Deliver Clear Findings
- Provide actionable fixes.
- Submit a final report and roadmap for security improvements.
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