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.
The 2025 ActiveFence AI Security Benchmark Report compares six models on prompt injection defense. ActiveFence delivers top F1, precision, and multilingual resilience.
ActiveFence partners with Databricks to integrate Guardrails into the Mosaic AI Agent Framework, helping enterprises deploy safer, policy-aligned AI agents at scale.
AI is no longer English-only. Learn how ActiveFence’s multilingual safety solutions, spanning datasets, guardrails, red teaming, and intelligence, keep AI safe, inclusive, and culturally aware in every market.
At Black Hat 2025, agentic AI took center stage, and so did the risks. From fourth-party threats to hybrid red teaming, here’s what I learned about the next wave of AI security.
Discover how to mitigate evolving threats in autonomous AI systems by securing every agent interaction point with proactive defenses.
Enterprises are building GenAI Platform Teams to ensure every product squad can experiment and deploy AI responsibly, without duplicating infrastructure or risking compliance. Learn more about the foundations that make AI innovation possible.
ActiveFence and Reality Defender have teamed up to deliver enterprise-grade protection against deepfake threats. This integration embeds multimodal detection into ActiveFence’s Guardrails product, giving platforms real-time moderation, enforcement, and compliance alignment.
ActiveFence is partnering with OpenPolicy to shape the future of generative AI safety and security policies. Together, we’re bridging the gap between innovation and regulation, ensuring emerging standards reflect real-world challenges and protect users while enabling responsible AI development.
America’s AI Action Plan shifts focus to speed and global competitiveness by rolling back federal safety oversight. Learn the key risks for enterprises, why safety now falls on AI builders, and actionable strategies for red-teaming, observability, and governance.