Discover and enforce security guardrails on all AI apps
Prevent leakage of sensitive data on AI tools
Restrict user access to unsanctioned AI tools or accounts
Protect against prompt injection, compliance violations, and more
Protect AI browsers against attack and exploitation
Threat Prevent data leakage across all web channels
Secure SaaS remote access by contractors and BYOD
Discover and secure corporate and personal SaaS identities
Detect and block risky browser extensions on any browser
Discover ‘shadow’ SaaS and enforce SaaS security controls
The LayerX Enterprise GenAI Security Report 2025 offers one-of-a-kind insights on GenAI security risks in organizations.
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Generative AI (GenAI) can be exploited to escalate access through methods like prompt crafting, plugin misuse, or weak controls. This article explores these vulnerabilities and outlines how to mitigate them, preventing unauthorized elevation within your enterprise systems. The New Frontier of Privilege Escalation Privilege escalation is a foundational concept in cybersecurity, describing the method a […]
The integration of Generative AI into the enterprise has unlocked unprecedented productivity, but this technological leap forward carries a significant, often overlooked, architectural risk. The default delivery model for these powerful tools is multi-tenant AI, an infrastructure where multiple customers share the same computational resources, including the AI model itself. While this approach is economically […]
Generative AI (GenAI) represents a monumental leap in technological capability, but as enterprises pour resources into developing proprietary models, they expose themselves to a new and critical threat: model theft. This emerging attack vector goes beyond typical data breaches; it targets the very intellectual property (IP) that gives a company its competitive edge. Attackers can […]
In an era where Artificial Intelligence (AI), and specifically Generative AI (GenAI), is fundamentally transforming the enterprise ecosystem, establishing strong governance frameworks is more crucial than ever. The introduction of ISO 42001, the first international standard for AI management systems, marks a pivotal step in aligning AI deployment with globally recognized best practices. This standard […]
The integration of Generative AI (GenAI) into enterprise workflows has initiated a significant shift in productivity. These powerful models are now central to tasks from code generation to market analysis. However, their core strength, the ability to understand and execute complex natural language instructions, also presents a critical vulnerability. The line between trusted instructions and […]
AI Usage Control is an umbrella term encompassing the various risks and challenges associated with AI usage, such as data loss prevention (DLP), misuse, or unintended behavior. As organizations race to integrate Generative AI (GenAI) into daily workflows, they simultaneously create new pathways for data exfiltration, compliance violations, and security incidents. Effectively managing this new […]
Agentic browsers are web browsers enhanced with AI agents that can autonomously navigate, search, and interact with websites on a user’s behalf to accomplish complex tasks (e.g., booking flights, researching products). Unlike traditional browsers, they combine browsing capabilities with decision-making and goal-oriented automation. The evolution of the web browser is entering a new, transformative phase. […]
The rapid integration of Generative AI (GenAI) into enterprise workflows promises a significant boost in productivity. From code generation to market analysis, Large Language Models (LLMs) are becoming indispensable co-pilots. However, this growing reliance introduces a subtle yet profound risk: AI hallucinations. These are not mere bugs or simple mistakes; they represent instances where an […]
The rapid adoption of web-based AI and GenAI tools has unlocked unprecedented productivity for enterprises. From code generation to market analysis, these platforms are becoming integral to daily operations. However, this reliance introduces a new and significant attack surface: the user’s browser session. An AI session hijack is no longer a theoretical threat but a […]
The adoption of Generative AI is reshaping industries, but this rapid integration introduces a new class of risks that conventional security measures are ill-equipped to handle. As organizations embrace tools like ChatGPT, Copilot, and custom Large Language Models (LLMs), they expose themselves to novel attack surfaces where the primary weapon is no longer malicious code, […]
Generative AI (GenAI) has unlocked unprecedented productivity and innovation, but it has also introduced new avenues for security risks. One of the most significant threats is the jailbreak attack, a technique used to bypass the safety and ethical controls embedded in large language models (LLMs). This article examines jailbreak attacks on GenAI, the methods attackers […]
The integration of Generative AI (GenAI) into enterprise workflows has unlocked significant productivity gains, but it has also introduced a new and critical attack surface: the AI prompt. AI prompt security is the practice of safeguarding Large Language Models (LLMs) from manipulation and exploitation through their input interface. It involves a combination of technical controls […]
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