Protect your AI applications and agents from attacks, fakes, unauthorized access, and malicious data inputs.
Control your GenAI applications and agents and assure their alignment with their business purpose.
Proactively test GenAI models, agents, and applications before attackers or users do
The only real-time multi-language multimodality technology to ensure your brand safety and alignment with your GenAI applications.
Ensure your app is compliant with changing regulations around the world across industries.
Proactively identify vulnerabilities through red teaming to produce safe, secure, and reliable models.
Detect and prevent malicious prompts, misuse, and data leaks to ensure your conversational AI remains safe, compliant, and trustworthy.
Protect critical AI-powered applications from adversarial attacks, unauthorized access, and model exploitation across environments.
Provide enterprise-wide AI security and governance, enabling teams to innovate safely while meeting internal risk standards.
Safeguard user-facing AI products by blocking harmful content, preserving brand reputation, and maintaining policy compliance.
Secure autonomous agents against malicious instructions, data exfiltration, and regulatory violations across industries.
Ensure hosted AI services are protected from emerging threats, maintaining secure, reliable, and trusted deployments.
Building GenAI systems is easy. But making them safe, scalable, and accurate in the real world? Thatโs where things get tricky.
In this technical webinar, Shiri Simon Segal, our Sr. Data Scientist, shares how her tam uses dual knowledge distillation to turn large foundation models into efficient transformers that stay aligned, compliant, and abuse-aware, under real-world pressure.
Youโll learn:
Watch now and see what it takes to turn raw LLM power into safe, production-ready AI.
Sr. Data Scientist
Discover what AI guardrails are, and why those built into large language models arenโt enough to prevent brand harm or misuse.
AI safety isn't one-size-fits-all. Learn how to protect your brand and users with enterprise-grade guardrails beyond provider defaults.
Compare top AI safety models on precision, recall, and false positives to choose the right defense for your GenAI applications and agents.