As enterprises move from AI copilots toward autonomous agents, conventional application security tools are being forced to account for a new class of risks. Barcelona-based NeuralTrust has been named a Pioneer in Gartner’s Emerging Market Quadrant for AI Application Security, a new Gartner research framework examining security technologies built specifically for AI applications and agentic systems.
The recognition places NeuralTrust in an emerging security category focused on protecting applications powered by large language models (LLMs), generative AI and autonomous agents. Unlike traditional software, these systems can interpret natural-language instructions, access enterprise data and invoke external tools, creating security risks that can span prompts, models, APIs, agents and runtime behavior.
According to NeuralTrust’s account of the Gartner research, the emerging market centers on three capabilities: automated discovery and inventory of AI applications, automated security testing and real-time runtime defense.
That model reflects a shift in enterprise AI security. Organizations increasingly need to know which AI applications and agents exist inside their environments, what data they can access, which models and tools they use, and how those systems behave when presented with adversarial inputs.
Threats such as prompt injection, sensitive-data leakage, model manipulation and unauthorized tool use have become important considerations as AI agents gain greater autonomy. Traditional application security remains relevant, but it was largely designed around deterministic software behavior rather than systems whose outputs can vary according to prompts, context and model behavior.
NeuralTrust’s platform brings together four products—TrustGate, TrustGuard, TrustLens and TrustTest—for gateway enforcement, runtime protection, agent posture management and automated red teaming. The company describes the architecture as a closed loop in which organizations can discover AI systems, test their security, monitor them during operation and enforce controls.
The approach places NeuralTrust in a competitive market alongside emerging AI security vendors and established cybersecurity providers expanding into AI protection. Companies such as Microsoft, Palo Alto Networks, Cisco, Google and IBM are developing AI security capabilities, while specialist vendors are focusing on AI gateways, model security, agent security and automated testing.
The Gartner recognition is also notable because an Emerging Market Quadrant is intended for markets that Gartner considers to be in formation, rather than the more established categories covered by its Magic Quadrant methodology. The Pioneer designation therefore describes NeuralTrust’s position within this particular Gartner framework; it does not constitute a general assessment of the company’s products or market leadership.
For enterprise security teams, the more consequential development is the emergence of AI application security as a distinct layer in the technology stack. As agents begin accessing internal systems and executing tasks independently, security teams will need controls that extend beyond model evaluation into identity, permissions, runtime monitoring, data protection and continuous adversarial testing.
NeuralTrust says it is expanding its European and U.S. presence, with offices in Barcelona, London and New York. The company opened its London office in September 2026 as it targets financial services, technology and other enterprise customers.
Market Landscape
AI security is developing into several overlapping categories, including AI application security, AI gateways, AI governance, model security, agent security and automated red teaming. The fragmentation reflects the fact that AI introduces risks at multiple layers—from training data and models to prompts, applications, agents and runtime interactions.
For enterprises, the challenge is increasingly architectural. Security controls need to work across multiple models, cloud environments and AI applications while maintaining visibility into agent permissions and tool usage.
The emerging market also remains unsettled. Vendors are approaching the problem through different combinations of gateways, posture management, testing, runtime controls and governance. Organizations evaluating these platforms will need to assess coverage across their own AI stack rather than relying solely on vendor category positioning.
Top Insights
- NeuralTrust has been named a Pioneer in Gartner’s emerging AI Application Security market, highlighting the development of security specifically for AI applications and agents.
- The emerging category addresses risks including prompt injection, data exfiltration and model manipulation that require controls beyond conventional application security.
- NeuralTrust combines AI discovery, posture management, automated red teaming and runtime defense through its TrustGate, TrustGuard, TrustLens and TrustTest products.
- Enterprise AI security is expanding beyond model protection toward continuous monitoring of agents, permissions, tools, data access and runtime behavior.
- Established cybersecurity providers and specialist AI security companies are increasingly competing to define the security architecture for autonomous enterprise AI.
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