Security in AI

Why Security Matters in AI

AI is increasingly used in critical sectors—from healthcare to defense. These systems can be vulnerable to novel threats like adversarial attacks or data poisoning, which can lead to dangerous outcomes.

Key Security Challenges

• Adversarial examples that fool AI models
• Data poisoning during training
• Model theft or reverse engineering

Viswanext’s Approach

We incorporate robust threat modeling, continuous testing, and zero-trust security principles to safeguard our AI systems.

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