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.
Explore why generative AI continues to reflect harmful stereotypes, the real-world risks of biased systems, and how teams can mitigate them with practical tools and strategies.
Innovation without safety can backfire. This blog breaks down how to build GenAI systems that are not only powerful, but also secure, nuanced, and truly responsible. Learn how to move from principles to practice with red-teaming, adaptive guardrails, and real-world safeguards.
Discover how threat actors abuse fake emergency data requests to access sensitive user information, and what platforms can do to stop them.
Learn how online cartels recruit hitmen, traffic women, and exploit UGC platforms – and how proactive detection can stop them in their digital tracks.
See why AI safety teams must apply rigorous testing and training with diverse organic and synthetic datasets.
Discover principles followed by the most effective red teaming frameworks.
Learn how ActiveFence red teaming supports Amazon as they launch their newest Nova models.
Explore the primary security risks associated with Agentic AI and strategies for effective mitigation.