See how ActiveFence stacks up against other major security models. Get the benchmark.
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.
Ensure safe and scalable deployment of Generative AI applications that create positive user experiences and engagement that drive growth.Â
To remain competitive, businesses across industries are integrating Generative AI into their customer experiences. But while AI can revolutionize customer engagement, it also generates new brand risks through unwanted prompts and risky outputs. Ensuring AI aligns with business guidelines requires robust safety guardrails.
Keep AI running smoothly while ensuring positive user experiences by accurately and quickly detecting and stopping risky prompts.
Monitor and improve model performance with a dedicated UI for case management, flagged prompt review, and feedback loops.
Discover expert insights on building AI safety tools to tackle evolving online risks and enhance platform protection.
See how LLMs models can engage in deception as a side effect of pursuing user-aligned or seemingly beneficial goals.
We tested AI-powered chatbots to see how they handle unsafe prompts. Learn how they did, and how to secure your AI implementation.