# Ovalix > Ovalix is an enterprise AI security and governance platform. It helps organizations adopt AI safely by discovering all AI usage, detecting risks and threats in real time, governing AI activity with enforceable policies, and preventing data leakage, prompt injection, and unauthorized actions. Ovalix secures public GenAI apps, homegrown AI apps, coding agents, autonomous AI agents, and AI running on employee endpoints from one platform. Key facts: - Category: AI Security Platform (AISP) for enterprise AI security, AI governance, and AI data protection - Core approach: Discover, Detect, Govern, Prevent - Use cases: shadow AI and public GenAI app security, homegrown AI app security, coding agent and MCP security, autonomous and agentic AI security, AI security on employee endpoints - Key risks addressed: data leakage, shadow AI, prompt injection, jailbreaking, excessive agency, compliance breaches, malicious MCP servers - Based in Tel Aviv, Israel - Book a demo: https://www.ovalix.ai/contact-us ## Platform and Products - [Ovalix AI Security Platform](https://www.ovalix.ai/): The Ovalix platform overview: Discover, Detect, Govern, and Prevent capabilities that secure the entire enterprise AI ecosystem. - [Public GenAI App Security and Shadow AI Control](https://www.ovalix.ai/product/public-ai-apps): Discover shadow AI, monitor AI interactions, prevent data leakage with redaction and blocking, enforce policies in real time, and assess third party AI app risk. - [Homegrown AI App Security](https://www.ovalix.ai/product/homegrown-ai-apps): Protect custom built AI applications from data leaks, prompt injection, model tampering, and adversarial attacks, from development to production. - [Autonomous and Agentic AI Security](https://www.ovalix.ai/product/autonomous-ai): Map AI agent workflows, monitor agent decisions and data usage, enforce guardrails, and prevent excessive agency in real time. - [Coding Agent Security](https://www.ovalix.ai/product/coding-agents): Secure AI coding agents and assistants: detect secrets and sensitive code, discover AI tools and MCP servers, and control agent actions in real time. - [Employee Endpoint AI Security](https://www.ovalix.ai/product/employee-endpoints): Discover and control AI apps, coding agents, MCP servers, and AI agent skills running on employee devices, and prevent AI threats at the endpoint. ## Blog - [4 AI Security Best Practices](https://www.ovalix.ai/blog/4-ai-security-best-practices): Learn four AI security best practices to discover AI usage, detect risks, govern AI activity, and prevent threats across the enterprise AI environment. - [AI Security Has Reached the Endpoint](https://www.ovalix.ai/blog/ai-security-has-reached-the-endpoint): AI endpoint security gives security teams visibility into AI apps, coding agents, and MCP servers running on employee devices, before they become shadow AI. - [AI Sprawl: From Visibility to Control](https://www.ovalix.ai/blog/ai-sprawl-from-visibility-to-control): AI adoption is accelerating across every enterprise, creating AI sprawl that traditional security programs weren't designed to manage. Learn why visibility is only the first step and why governance is the key to securing the modern AI ecosystem. - [Enterprise AI Security: 6 Risks CISOs Can't Ignore](https://www.ovalix.ai/blog/enterprise-ai-security-6-risks-cisos-cant-ignore): Enterprise AI introduces new security risks. Learn the 6 AI security challenges CISOs must address, from shadow AI to excessive agency. - [Homegrown AI Apps Are Becoming Enterprise Software](https://www.ovalix.ai/blog/homegrown-ai-apps-are-becoming-enterprise-software): Learn why homegrown AI apps require continuous security, governance, and visibility as they connect to enterprise data, systems, and workflows. - [The AI Discovery Gap: You Can’t Secure What You Can’t See](https://www.ovalix.ai/blog/the-ai-discovery-gap-you-cant-secure-what-you-cant-see): AI adoption is outpacing security, leaving organizations blind to their own AI. Learn how AI discovery closes the gap and surfaces shadow AI. - [The Hidden Cost of AI Data Leakage in 2026](https://www.ovalix.ai/blog/the-hidden-cost-of-ai-data-leakage-in-2026): Explore the hidden costs of AI data leakage, from compliance and intellectual property risk to customer trust, investigations, and security reviews. - [Thinking About Autonomous AI? Read This First](https://www.ovalix.ai/blog/thinking-about-autonomous-ai-read-this-first): Learn how autonomous AI changes enterprise risk, why process-level security matters, and the controls needed to scale AI agents safely. - [When AI Writes Your Code: The New Enterprise Risk Surface](https://www.ovalix.ai/blog/when-ai-writes-your-code-the-new-enterprise-risk-surface): AI coding agents speed up development but create a new risk surface. Learn the risks of AI-assisted code and how to regain control. ## Solution Briefs and eBooks - [Solution brief: Secure Public GenAI Apps and Enforce Compliant Usage](https://www.ovalix.ai/solution-briefs/secure-public-ai-applications): Uncover shadow AI risks, protect sensitive prompts, and set guardrails for public AI tools with this enterprise security brief from Ovalix. - [Solution brief: How to Secure Your Homegrown AI Applications](https://www.ovalix.ai/solution-briefs/secure-homegrown-ai-applications): Homegrown AI applications require protection against adversarial attacks and model manipulation, with continuous visibility into user inputs, model behaviors, and data flows. Download the brief to learn how to secure these applications with real-time policy enforcement, sensitive data protection, and proactive AI threat prevention. - [Solution brief: How to Secure Your Employee Endpoints](https://www.ovalix.ai/solution-briefs/how-to-secure-your-employee-endpoints): AI tools are increasingly running directly on employee devices, including AI apps, coding agents, MCP servers, and AI agent skills. Security teams need visibility into what AI tools are running across endpoints, how they are being used, and what risks they introduce. - [Solution brief: AI Security Business Cases for Enterprise Leaders](https://www.ovalix.ai/solution-briefs/ai-security-business-cases): See how enterprises build AI security business cases to reduce AI risk, address shadow AI, and enable safe, governed AI adoption at scale. - [eBook: Stay in Control of Autonomous AI Agents](https://www.ovalix.ai/ebooks/stay-in-control-of-autonomous-ai-agents): Autonomous AI agents can make decisions, access systems, use tools, and complete multi-step tasks without human intervention. This ebook explains how that changes the security challenge and why security teams need visibility and control across the full process, from the AI's intent and context to decisions and actions. - [eBook: Secure AI Across Employee Endpoints](https://www.ovalix.ai/ebooks/secure-ai-across-employee-endpoints): AI is no longer limited to the browser. AI apps, coding agents, MCP servers, AI agent skills, and other AI technologies are now running directly on employee devices, expanding the endpoint attack surface. This ebook explains the security challenges this creates and how security teams can maintain visibility and control over AI activity on employee endpoints. ## AI Security Glossary: Core Terms - [AI Security Glossary](https://www.ovalix.ai/glossary): Definitions of key AI security, governance, and compliance terms. - [Shadow AI](https://www.ovalix.ai/glossary/shadow-ai): Shadow AI is any AI tool, account, or agent that employees use without the security team knowing about it or approving it. - [Agentic AI](https://www.ovalix.ai/glossary/agentic-ai): Agentic AI describes AI systems that don't just answer questions but plan and act on their own to reach a goal. - [AI Agent](https://www.ovalix.ai/glossary/ai-agent): An AI agent is software powered by an AI model that can decide what to do next, use tools, and complete tasks with some degree of independence. - [Homegrown AI Apps](https://www.ovalix.ai/glossary/homegrown-ai-apps): Homegrown AI apps are AI applications a company builds for itself, such as internal copilots, RAG chatbots, and custom agents. - [Enterprise AI Security](https://www.ovalix.ai/glossary/enterprise-ai-security): Enterprise AI security is the discipline of protecting every way an organization uses AI, from employee chatbots to custom apps and autonomous agents. - [AISP](https://www.ovalix.ai/glossary/aisp): An AI Security Platform, or AISP, is a single platform that secures both the AI tools a company buys and the AI applications it builds. - [AI TRiSM](https://www.ovalix.ai/glossary/ai-trism): AI TRiSM stands for AI Trust, Risk and Security Management. It is a Gartner framework that helps organizations make AI reliable, secure, and compliant through a mix of governance and technical controls. - [MCP Security](https://www.ovalix.ai/glossary/mcp): MCP security protects the connections between AI systems and the tools and data they reach through the Model Context Protocol. - [Guardrails (AI)](https://www.ovalix.ai/glossary/guardrails-ai): AI guardrails are the rules and controls that keep an AI system within safe, approved limits. - [Coding Agents](https://www.ovalix.ai/glossary/coding-agents): Coding agents are AI tools that can carry out development work on their own, such as editing files, running commands, and working across a codebase. - [Coding Assistants](https://www.ovalix.ai/glossary/coding-assistants): Coding assistants are AI tools that help developers write, explain, and review code, usually inside the IDE. - [AI DLP](https://www.ovalix.ai/glossary/ai-dlp): AI DLP is data loss prevention designed for AI. It stops sensitive information from leaking through prompts, AI responses, uploaded files, and agent actions, without blocking AI use altogether. - [Prompt Injection](https://www.ovalix.ai/glossary/prompt-injection): Prompt injection is an attack that hides instructions in text an AI system reads, tricking it into ignoring its rules, leaking data, or taking actions it shouldn't. - [Governance (AI)](https://www.ovalix.ai/glossary/ai-governance): AI governance is how an organization decides who can use AI, for what, and under which rules, and then makes sure those rules are actually followed. - [AI Ecosystem](https://www.ovalix.ai/glossary/ai-ecosystem): An AI ecosystem is the complete picture of AI in an organization: every tool, app, agent, model, integration, and user, and the data moving between them. - [Discovery (AI)](https://www.ovalix.ai/glossary/ai-discovery): AI discovery is the process of finding every AI tool, agent, and interaction in an organization, approved or not. - [AI Security and Governance Framework](https://www.ovalix.ai/glossary/ai-security-and-governance-framework): An AI security and governance framework is a structured plan for managing AI safely across a company. ## AI Security Glossary: More Terms - [A2A](https://www.ovalix.ai/glossary/a2a): An A2A server is a specialized web server that hosts an AI agent and implements the A2A protocol by exposing standard HTTP and JSON-RPC endpoints. - [Accountability](https://www.ovalix.ai/glossary/accountability): Accountability is the principle that organizations remain responsible for the behavior, outputs, and business impact of AI systems, regardless of whether they’re developed internally or provided by third-party vendors. - [Adversarial Attack](https://www.ovalix.ai/glossary/adversarial-attack): Adversarial attacks are malicious techniques designed to manipulate AI applications, prompts, models, outputs, or connected workflows. - [AI Agent Skills](https://www.ovalix.ai/glossary/ai-agent-skills): AI agent skills are modular instruction sets, workflows, and scripts that extend an AI agent’s capabilities and enable it to perform specialized tasks. - [AI Assistants](https://www.ovalix.ai/glossary/ai-assistants): AI assistants are AI-powered tools that help employees complete tasks such as generating content, summarizing information, answering questions, analyzing data, or supporting business workflows. - [AI Attack Surface](https://www.ovalix.ai/glossary/ai-attack-surface): The AI attack surface includes the AI applications, agents, coding assistants, AI agent skills, MCP servers, models, prompts, integrations, endpoints, users, and connected systems that may introduce security risk. - [AI Inventory](https://www.ovalix.ai/glossary/ai-inventory): An AI inventory is a centralized record of enterprise AI tools, applications, agents, MCP servers, models, coding assistants, AI agent skills, users, workflows, integrations, and data flows. - [AI Policy](https://www.ovalix.ai/glossary/ai-policy): An AI policy is a set of organizational rules and guidelines that define how AI technologies can be used securely, responsibly, and in compliance with business and regulatory requirements. - [AI Risk Classification](https://www.ovalix.ai/glossary/ai-risk-classification): Categorizing AI applications and activity according to factors such as data sensitivity, permissions, compliance impact, business use, and potential security exposure. - [AI Sprawl](https://www.ovalix.ai/glossary/ai-sprawl): AI sprawl is the uncontrolled growth of AI applications, agents, coding assistants, embedded AI, MCP servers, AI agent skills, models, and third-party AI tools across the enterprise. - [Autonomous Business](https://www.ovalix.ai/glossary/autonomous-business): An autonomous business uses AI-powered systems and agents to automate decision-making, execute business processes, and continuously optimize operations with minimal human intervention. - [Autonomous System](https://www.ovalix.ai/glossary/autonomous-systems): Autonomous systems are AI-driven systems that make decisions, execute actions, and continuously improve with limited human intervention. - [Compliance Breaches (AI)](https://www.ovalix.ai/glossary/compliance-breaches): Compliance breaches occur when AI applications, AI agents, or AI users violate regulatory requirements, industry standards, or internal organizational policies. - [Data Exposure](https://www.ovalix.ai/glossary/data-exposure): Sensitive information being accessed, processed, shared, or revealed through AI prompts, outputs, agents, applications, or connected systems without adequate controls. - [Embedded AI](https://www.ovalix.ai/glossary/embedded-ai): Embedded AI refers to artificial intelligence capabilities integrated directly into software, SaaS platforms, business applications, or devices. - [Endpoint Security (AI)](https://www.ovalix.ai/glossary/endpoint-security-ai): The practice of discovering, monitoring, governing, and controlling AI applications, coding assistants, AI agents, and other AI technologies running on enterprise-managed employee devices to reduce AI-related security risk. - [EU AI Act Compliance](https://www.ovalix.ai/glossary/eu-ai-act-compliance): EU AI Act compliance is the process of ensuring AI systems meet the governance, transparency, risk management, and security requirements established by the European Union's AI Act. - [Excessive Agency](https://www.ovalix.ai/glossary/excessive-agency): Excessive agency is the risk that an AI agent is granted more autonomy, permissions, or decision-making authority than intended. - [Hallucination](https://www.ovalix.ai/glossary/hallucination): A hallucination occurs when an AI model generates false, inaccurate, or fabricated information while presenting it as factual. - [HIPAA AI](https://www.ovalix.ai/glossary/hipaa-ai): HIPAA AI refers to the use of AI in environments where Protected Health Information (PHI) is processed, stored, or accessed. - [HITL](https://www.ovalix.ai/glossary/hitl): HITL is a governance model that requires a person to review and approve AI outputs before consequential actions are taken. - [Hooks](https://www.ovalix.ai/glossary/hooks): Hooks are predefined triggers that execute logic before, during, or after an AI agent performs an action, invokes a tool, or completes a workflow step. - [HOTL](https://www.ovalix.ai/glossary/hotl): HOTL is a governance model in which AI systems operate autonomously while humans monitor performance and retain the ability to intervene, override, or stop the system when necessary. - [Human-over-the-Loop](https://www.ovalix.ai/glossary/human-over-the-loop): Human-over-the-loop is a governance model for lower-risk AI systems in which humans define policies and performance thresholds, monitor outcomes through periodic reviews, and intervene when the system operates outside those established parameters. - [Indirect Prompt Injection](https://www.ovalix.ai/glossary/indirect-prompt-injection): An indirect prompt injection attack occurs when malicious instructions are embedded in external content, such as a document, email, website, or data source, that an AI application or agent retrieves and processes. - [Jailbreaking](https://www.ovalix.ai/glossary/jailbreaking): A jailbreak is a technique used to manipulate an AI model or application into bypassing its safeguards or restrictions. - [License Compliance (AI)](https://www.ovalix.ai/glossary/ai-license-compliance): Ensuring employees use approved licensed business AI accounts instead of unmanaged personal accounts that fall outside organizational oversight. - [LLM](https://www.ovalix.ai/glossary/llm): LLM is an AI model trained on large datasets to understand, process, and generate human language. - [MAS](https://www.ovalix.ai/glossary/mas): MAS is an architecture in which multiple AI agents interact, collaborate, or compete to accomplish tasks. - [NIST AI RMF](https://www.ovalix.ai/glossary/nist-ai-rmf): The NIST AI RMF is a voluntary framework that helps organizations identify, assess, govern, and manage AI-related risks throughout the AI lifecycle. - [Operational Integrity (AI)](https://www.ovalix.ai/glossary/ai-operational-integrity): AI operational integrity is the ability to ensure AI systems operate securely, reliably, and in accordance with organizational policies throughout their lifecycle. - [OWASP Top 10 for LLM Applications](https://www.ovalix.ai/glossary/owasp-top-10-for-llm-applications): The OWASP Top 10 for LLM Applications identifies the most significant security risks affecting applications powered by LLMs, including prompt injection, sensitive information disclosure, excessive agency, insecure output handling, and supply chain vulnerabilities. - [Process-Level Visibility](https://www.ovalix.ai/glossary/process-level-visibility): Process-level visibility provides visibility into complete AI workflows rather than isolated actions. - [Real-Time AI Protection](https://www.ovalix.ai/glossary/real-time-ai-protection): Real-time AI protection continuously monitors AI applications and agents while they're operating and enforces security controls as actions occur. - [Red Teaming (AI)](https://www.ovalix.ai/glossary/red-teaming-ai): AI red teaming is a structured security testing methodology that evaluates AI systems by simulating attacks such as prompt injection, jailbreaking, model extraction, and data leakage to identify weaknesses before they can be exploited. - [Regulatory Compliance (AI)](https://www.ovalix.ai/glossary/regulatory-compliance-ai): AI regulatory compliance is the practice of operating AI systems in accordance with applicable laws, regulations, standards, and industry requirements. - [Responsible AI](https://www.ovalix.ai/glossary/responsible-ai): Responsible AI is the development, deployment, and use of AI systems in ways that are secure, transparent, accountable, fair, and compliant with organizational policies and regulatory requirements. - [SIEM (AI)](https://www.ovalix.ai/glossary/siem-ai): AI SIEM refers to a security platform that combines traditional SIEM capabilities with artificial intelligence and machine learning. - [Third-Party AI Risk](https://www.ovalix.ai/glossary/third-party-ai-risk): Third-party AI risk refers to the security, privacy, compliance, and operational risks introduced through external AI services, foundation model APIs, AI-enabled SaaS applications, and vendor-provided AI agents. - [Vibe Coding](https://www.ovalix.ai/glossary/vibe-coding): Vibe coding is an AI-assisted software development approach where developers generate applications by describing desired outcomes in natural language. - [Visibility (AI)](https://www.ovalix.ai/glossary/full-ai-visibility): AI visibility means having full visibility across an organization’s entire AI ecosystem, including public GenAI tools, homegrown AI applications, coding assistants, AI agents, third-party AI tools, AI agent skills, MCP servers, and AI activity on employee endpoints. ## Optional - [About Ovalix](https://www.ovalix.ai/about): Company background and the founders behind Ovalix. - [Contact and Book a Demo](https://www.ovalix.ai/contact-us): Request a demo of the Ovalix AI security platform. - [Company Brochure](https://www.ovalix.ai/pdf/company-brochure): Downloadable overview of Ovalix. - [Careers](https://www.ovalix.ai/careers): Open roles at Ovalix in Tel Aviv.