Over the last 12 months, we’ve seen the AI security landscape shift in meaningful ways. Conversations with customers, prospects, and partners are touching nearly every corner of the AI security ecosystem, from securing homegrown GenAI apps to the rise of LLM-based agentic workflows, from scanning pre-trained models for malicious files to red teaming AI for unwanted model behavior. The one constant we are seeing - as AI adoption increases, securing AI becomes more important. In their 2025 CISO survey, Team8 reported that securing enterprise AI is now a top CISO priority.
At the same time, we know not all organizations are at the same stage. While some are actively deploying new AI security controls to test and safeguard their AI, some are still building their AI security and governance teams and developing AI policies. We’re working closely with (and recommending) some of the top strategic services and consulting providers to help with this. Like most enterprise cybersecurity problem areas, it requires people, process, and technology — and we’re putting an emphasis on our partner ecosystem to help enterprises tackle this problem.
Our focus at TrojAI
At TrojAI, we’re fully committed to securing the behavior of AI models, applications, and agents — both in AI development and AI runtime. As the space evolves, our focus remains steady: delivering best-in-class automated red teaming and active runtime monitoring for enterprise-grade AI applications and agents.
We’ve worked with enough customers to understand enterprise AI is complex, and we recognize that AI doesn’t exist in a silo. It touches and extends traditional enterprise infrastructure. Areas like identity, application, data, cloud, and network. So while AI expands an enterprise’s attack surface, securing AI requires integration, collaboration, and cohesive strategies across the entire security stack.
Building an integrated tech ecosystem
Enterprises need solutions that can plug into their existing environments and workflows. We’re seeing increasing demand for integrated AI security use cases, such as:
- Extending AppSec and Supply Chain tools to secure AI-powered applications and agents, with new capabilities like automated red teaming, model scanning, and AI-BOM to increase visibility and surface risks early in the development process
- Complementing Data and AI Governance capabilities that offer compliance-driven insights into data usage, access, and lineage across the lifecycle of AI models, showing the impacts of sensitive data on model behavior
- Augmenting Network Security to get deep visibility into AI traffic and inject inline policy enforcement into private and public AI applications, strengthening ZTNA, SSE, and WAF use cases
- Leveraging Cloud Security to discover and inventory AI services and detect misconfigurations in AI workloads, which can be further hardened downstream through AI-focused security controls
- Integrating with SecOps to view, monitor, and respond to AI security events and alerts, spanning today’s emerging attack surface across prompt injections, PII detections, data leakages, and toxic content
The message is clear: AI security works best when it works with everything else.
This is why we believe in a “better together” approach—one where AI security enhances, rather than replaces, existing tools. We're building bridges that let security teams extend their visibility and control into the AI layer without reinventing the wheel.
Working with technology-enabled service providers
Staying on top of the evolving regulatory environment and attack landscape can get complicated. That’s why as organizations start their AI journeys, they’re leaning heavily on strategic advisory services and solution providers. AI security frameworks to help identify risks, define controls, and support secure AI development and runtime are becoming increasingly popular, helping enterprises:
- Define and implement AI security and governance roadmaps
- Build and enable AI red teaming services
- Test and validate policy controls
- Develop LLM-enabled content moderation for their bespoke use cases
We see service providers as a strategic part of the evolving AI security ecosystem - helping to align the newly forming and multi-faceted AI Security and Governance teams on their AI missions while keeping security and risk top of mind. We’re collaborating with strategic services partners across these domains to help drive these strategic roadmaps and implement the right controls.
Introducing the TrojAI Alliances and Partner Program (TAPP)
We launched the TrojAI Alliances and Partner Program (TAPP) earlier this year because we know there’s no one-size-fits-all solution for AI security. Our goal is to build strategic partnerships with the right technologies, services, and channel providers that meet real-world demands.
In just a few short months, we’ve already made real progress:
- Partnered with Microsoft by joining its Microsoft’s Pegasus Program, where we are driving seamless deployments for our Azure customers and integrating with a variety of Azure capabilities, like Azure Content Safety, Azure OpenAI, and Azure AI Foundry
- Partnered with Crowdstrike, joining the Crowdstrike Marketplace to help drive AI security initiatives for Crowdstrike customers, with productive use cases across AI-SPM and Next-Gen SIEM
- Partnered with JFrog, a leader in DevSecOps, to drive secure AI development practices, bridging core model security capabilities with evidence-based attestation to bolster the AI supply chain
- Integrated with OpenAI, extending TrojAI Defend security detections on top of ChatGPT Enterprise Compliance API, bridging the gap between AI security and compliance and offering deep visibility into ChatGPT usage
- Launched a strategic integration with MongoDB to secure RAG workflows against GenAI risks and threats such as prompt injection, data leakages, and toxic content
- Collaborating with a number of leading SIs and channel partners to support global customers looking to secure their AI, combining services expertise with TrojAI capabilities across strategic advisory, implementation, and GTM
- Sponsoring leading AI security initiatives, including OWASP Top 10 for LLMs, Cloud Security Alliance - AI Safety, and CoSAI, spearheading best practices for securing AI
And we’re just getting started. The AI security ecosystem is growing fast. We’re proud to be at the center of it, working with incredible organizations to build secure, scalable, and intelligent AI applications and agents.
We’ve got a strong pipeline of new partnerships coming soon, and we’ll be sharing more updates and deep dives in upcoming blogs. AI security is a team sport, and we’re looking for playmakers that want to win with us.
Want to collaborate?
If you’re interested in building “better together” stories with TrojAI—whether as a tech partner, services provider, or channel collaborator—we’d love to connect. https://www.troj.ai/company/partners
Find us at Black Hat USA booth #5916
Book a meeting with us at Black Hat to discuss the AI security landscape, strategic partnerships, and how TrojAI is helping large enterprises adopt AI securely.
How TrojAI can help
At TrojAI, we’re building security for AI to help organizations protect their GenAI deployments.
Our mission is to enable the secure rollout of AI in the enterprise. Our comprehensive security platform for AI protects AI models, applications, and agents. Our best-in-class platform empowers enterprises to safeguard AI systems both at build time and run time. TrojAI Detect automatically red teams AI models, safeguarding model behavior and delivering remediation guidance at build time. TrojAI Defend is our GenAI Runtime Defense solution that protects enterprises from threats in real time.
By assessing model behavioral risk during development and protecting it at run time, we deliver comprehensive security for your AI models, applications, and agents.
Want to learn more about how TrojAI secures the world's largest enterprises with a highly scalable, performant, and extensible solution?
Check us out at troj.ai now.
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