We are proud to announce that AppSOC has been recognized as a sample vendor in Gartner’s newly released technical guide, Use an AI Security Platform to Launch Your AI Security Strategy. This recognition highlights our role in shaping the next generation of AI security solutions and follows our previous inclusion in Gartner’s Market Guide for AI Trust, Risk, and Security Management (TRiSM).

As enterprises accelerate AI adoption, security leaders are facing new risks—from AI model poisoning and data leakage to unauthorized AI use and adversarial attacks. Gartner’s latest research provides critical guidance for security practitioners, outlining the essential components of an AI Security Platform and AI Security Infrastructure.

In this blog, we explore the key takeaways from Gartner’s technical report, explain how AI security is structured, and detail how AppSOC aligns with Gartner’s AI security framework to help organizations secure their AI environments.

AI Security: Evolving Beyond Governance

As AI rapidly advances, organizations struggle to define the boundary between AI governance and AI security. Traditional Governance, Risk, and Compliance (GRC) tools focus on compliance but do not address operational security risks such as:

• Unauthorized AI access leading to regulatory breaches
• AI model vulnerabilities that enable adversarial attacks
• Unsecured AI pipelines that expose organizations to supply chain threats

Gartner’s AI TRiSM framework was one of the first efforts to address AI security and governance together. However, its high-level approach was designed for CISOs and strategic planners, offering limited hands-on implementation guidance for security practitioners.

The new Gartner AI Security Platform technical guide goes a step further, providing detailed recommendations for deploying AI Security Platforms and AI Infrastructure Security to operationalize AI security.

The AI Security Stack: A Layered Approach

Gartner defines AI security as a hierarchy composed of multiple layers:

1. AI Security Platforms (focus on AI application security)
2. AI Infrastructure Security (protects the AI development environment)
3. Foundational Security (application and cloud security underpinning AI)

Each layer plays a critical role in protecting AI applications from development to deployment. The following sections explain how AppSOC aligns with Gartner’s AI Security model.

1. AI Security Platforms: Protecting AI Applications

An AI Security Platform ensures security throughout the AI lifecycle—from development to deployment and consumption. According to Gartner, essential AI Security Platform capabilities include:

AI Discovery & Inventory

Many enterprises struggle with AI visibility—they don’t know which AI assets are in use, who owns them, or whether they are secure.

• On the build side, AI security teams must track MLOps platforms, LLM models, datasets, and clusters.
• On the consumption side, organizations need to monitor third-party AI usage to prevent data leakage.

AppSOC’s AI Discovery module automatically finds and inventories AI assets, applying approval workflows and risk ratings to ensure only secure models are used.

Automated AI Security Testing

Once AI assets are identified, continuous security testing is required to prevent threats such as prompt injections, LLM jailbreaking, and adversarial attacks.

AppSOC provides:

• Static Model Scanning – Detects embedded malware, serialization vulnerabilities, and insecure model formats.
• Automated AI Red Teaming – Simulates real-world attack scenarios to identify weaknesses in LLMs and AI models.

Unlike many AI security vendors that require manual testing and consulting services, AppSOC’s automated AI security testing provides continuous, real-time protection.

AI Security Guardrails

As enterprises develop AI applications, security guardrails ensure safe AI behavior.

AppSOC offers:

• LLM Security Guardrails – Detect misconfigurations and inappropriate access controls in MLOps platforms.
• RAG Security – Secures retrieval-augmented generation (RAG) workflows, preventing data breaches and unauthorized AI access.
• Model Scanning – Prevents deployment of malicious AI models by verifying model integrity before use.

By integrating these AI security components into a unified security platform, AppSOC provides seamless protection across AI applications.

2. AI Infrastructure Security: Protecting the AI Pipeline

AI Infrastructure Security focuses on protecting AI development environments, including MLOps, LLMOps, datasets, and AI agents.

AI Security Posture Management (AI-SPM)

AI applications introduce unique security risks, such as:

• Model theft and supply chain attacks
• Data poisoning and AI hallucinations
• Malicious AI libraries and backdoors

AppSOC’s AI-SPM module continuously monitors AI pipelines for vulnerabilities, integrating with frameworks like:

• OWASP Top 10 for LLM Applications
• MITRE ATLAS AI Threat Framework

By automating risk detection and remediation, AppSOC helps enterprises prevent AI-specific threats before they escalate.

3. Foundational Security: The Base Layer of AI Security

AI applications depend on traditional security components, including application security, vulnerability management, and security orchestration. Gartner’s report emphasizes that without a strong security foundation, AI security measures will fail.

Application Security & Vulnerability Management

AppSOC is the only vendor integrating AI Security with Application Security, ensuring:

• End-to-end protection for AI-driven applications
• Automated vulnerability detection and remediation for AI and non-AI environments

Security Orchestration & Automated Remediation

Security threats are only manageable if organizations can respond effectively. However, many security teams face:

• Overwhelming alert fatigue
• Disconnected security tools
• Manual remediation bottlenecks

AppSOC solves this by providing:

• AI-driven threat correlation – Mapping AI security alerts to enterprise security risks.
• Automated remediation workflows – Integrating with Jira, ServiceNow, Slack, and PagerDuty to ensure threats are addressed efficiently.

By embedding AI security into existing security workflows, AppSOC helps enterprises scale AI security without increasing operational complexity.

Why AppSOC Stands Out

Unlike point solutions, AppSOC integrates AI security into a comprehensive cybersecurity platform. This ensures:

• AI security is not an isolated function but part of enterprise security.
• Threats are mitigated in real time with automated detection and response.
• AI adoption is secured from development to production.

Gartner’s recognition of AppSOC in its AI Security Platform technical guide validates our leadership in securing AI-powered enterprises. As AI-driven innovation accelerates, security leaders must ensure trust, safety, and compliance at every stage of AI adoption.

Secure your path to AI adoption with AppSOC. Contact us today to learn more.