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.
Since we founded ActiveFence over five years ago, we made it our mission to help Trust & Safety teams create, deploy, and scale the content policies that are right for their products and communities.
Together with our clients, we have ensured the safety of over 3 billion global users, in over 100 languages, and across every possible format.
Today, I am proud to share that we are taking another step toward that vision, as we announce that we have completed our acquisition of Spectrum Labs.
Spectrum Labs, led by the incredibly talented Justin Davis and Josh Newman, has built one of the most robust, multi-language AI models for content moderation and is a market leader in text-based contextual AI.
These unique capabilities have made Spectrum Labs an industry leader in gaming, dating, and marketplace online safety. Among its clients are leading brands and communities like Riot Games, Grindr, and The Meet Group, which use Spectrum Labsโs tools to eliminate harmful content, improve user retention, and create more enjoyable customer experiences.
Spectrum Labs’ contextual AI models are a perfect fit for ActiveFenceโs Trust & Safety platform: ActiveOS. By integrating Spectrum Labsโs models, alongside our own, within ActiveOS, we will allow our customers to stop potential dangers on an even larger scale. Namely, this acquisition will enable:
While these are all wonderful values for our clients, the acquisition will also allow us to continue contributing to the broader Trust & Safety ecosystem. By continuing to develop Spectrum Labs’ global #TSCollective community, we will support more industry collaboration and knowledge-sharing, to ensure a safer and more responsible online environment for all – starting with next weekโs ProSocial Summit, where we will meet with industry leaders to discuss the future of Trust & Safety. Registration is still open, click here if youโd like to join.
This is the largest M&A within the Trust & Safety industry, bringing to the market a more mature, sophisticated, robust, and comprehensive offering than ever before. As the Trust & Safety industry grows at warp speed, while facing increasing regulatory demands and budgetary scrutiny, it is time for Trust & Safety teams to enjoy access to the right tools without needing to build every point solution in-house.
This partnership amplifies our commitment to our customers, to meaningful partnerships, and to the industry.
Join us, as we craft a brighter, safer online world.
SPIRE, ActiveFenceโs real-time prompt injection detection system, uses semantic matching to catch zero-day adversarial attacks before they spread. Learn how it strengthens AI safety through dynamic, multilingual defenses.
Learn how to detect and contain compromised AI agents, validate inter-agent messages, and meet compliance.