# lakera.ai

> AI-optimized mirror of lakera.ai containing 50 pages totalling 55,980 words of clean markdown content, structured data, and semantic HTML. Original source: https://lakera.ai. Last updated: 2026-09-01T08:21:29.329Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [Lakera: The AI-Native Security Platform to Accelerate GenAI](/content/site-root.html): The AI-native security platform to accelerate GenAI initiatives—trusted by Fortune 500s, backed by the world’s largest AI red team. (430 words)

## Articles & Blog Posts

- [AI Observability: Key to Reliable, Ethical, and Trustworthy AI | Lakera – Protecting AI teams that disrupt the world.](/content/blog/ai-observability/index.html): AI models can be complex and opaque. AI observability provides the tools and strategies to track model behavior, identify issues, and foster responsible AI development. (4,216 words)
- [AI Security Trends 2025: Market Overview & Statistics | Lakera – Protecting AI teams that disrupt the world.](/content/blog/ai-security-trends/index.html): Explore the latest AI security trends as businesses race to leverage AI, balancing its benefits with emerging threats and challenges. (2,239 words)
- [Indirect Prompt Injection: The Hidden Threat Breaking Modern AI Systems  | Lakera – Protecting AI teams that disrupt the world.](/content/blog/indirect-prompt-injection/index.html): Indirect Prompt Injection is the hidden attack vector exploiting AI ingestion surfaces like webpages, PDFs, memory, and MCP tools — here’s how it works and how to defend against it. (3,838 words)
- [Outsmarting the Smart: Intro to Adversarial Machine Learning | Lakera – Protecting AI teams that disrupt the world.](/content/blog/adversarial-machine-learning/index.html): Delve into Adversarial Machine Learning: a world where AI meets hacker ingenuity. Discover adversarial tactics & AI security's future. (2,166 words)
- [Jailbreaking Large Language Models: Techniques, Examples, Prevention Methods | Lakera – Protecting AI teams that disrupt the world.](/content/blog/jailbreaking-large-language-models-guide/index.html): Discover LLM jailbreaking, its consequences, techniques, and real-world examples. Learn to secure your AI applications against vulnerabilities. (1,652 words)
- [Top 12 LLM Security Tools: Paid & Free (Overview) | Lakera – Protecting AI teams that disrupt the world.](/content/blog/llm-security-tools/index.html): Discover 12 cutting-edge LLM security tools designed to protect Large Language Models from cyber threats & maintain integrity in evolving AI applications. (1,188 words)
- [The Expanding Use of AI Chatbots in Business: Opportunities and Risks | Lakera – Protecting AI teams that disrupt the world.](/content/blog/ai-chatbots-in-business/index.html): Discover how AI chatbots are transforming business by improving customer support, simplifying operations, and raising important security considerations to keep in mind. (1,916 words)
- [Chatbot Security Essentials: Safeguarding LLM-Powered Conversations | Lakera – Protecting AI teams that disrupt the world.](/content/blog/chatbot-security/index.html): Understand the key security risks of AI chatbots and get proven tactics for protecting yourself. This comprehensive guide covers data security, malicious attacks, and more. (1,758 words)
- [blog/advancing-ai-security-with-insights-from-the-worlds-largest-ai-red-team.html](/content/blog/advancing-ai-security-with-insights-from-the-worlds-largest-ai-red-team.html) (382 words)
- [What Is Content Moderation for GenAI? A New Layer of Defense | Lakera – Protecting AI teams that disrupt the world.](/content/blog/content-moderation/index.html): Discover why content moderation for GenAI apps needs to happen at generation time — and how AI-native guardrails protect users in real time. (1,315 words)
- [A Comprehensive Guide to Data Exfiltration | Lakera – Protecting AI teams that disrupt the world.](/content/blog/data-exfiltration/index.html): Learn about data exfiltration and AI's pivotal in both fighting it and making the attacks more sophisticated than ever before. (902 words)
- [AI Risk Management: Frameworks and Strategies for the Evolving Landscape | Lakera – Protecting AI teams that disrupt the world.](/content/blog/ai-risk-management/index.html): Navigate the complex world of AI risk with our guide to key frameworks like NIST, ISO/IEC, and the EU AI Act. Optimize your AI strategy for safety and success. (1,240 words)
- [Zero-Click Remote Code Execution: Exploiting MCP & Agentic IDEs | Lakera – Protecting AI teams that disrupt the world.](/content/blog/zero-click-remote-code-execution-exploiting-mcp-agentic-ides.html): Discover how a zero-click MCP attack turns a shared Google Doc into remote code execution, stolen secrets, and enterprise-wide compromise. (1,923 words)
- [Cursor Vulnerability (CVE-2025-59944): How a Case-Sensitivity Bug Exposed the Risks of Agentic Developer Tools | Lakera – Protecting AI teams that disrupt the world.](/content/blog/cursor-vulnerability-cve-2025-59944/index.html): A case-sensitivity flaw in Cursor (CVE-2025-59944) showed how agentic IDEs can turn subtle file-handling bugs into serious security risks. (1,003 words)
- [Measuring What Matters: How the Lakera AI Model Risk Index Redefines GenAI Security | Lakera – Protecting AI teams that disrupt the world.](/content/blog/ai-model-risk-index/index.html): Discover how the Lakera AI Model Risk Index provides a real-world security benchmark for LLMs, offering quantified risk assessment across adversarial threats. (1,403 words)
- [AI Gateways: What They Are, What They Control, and Why They Matter | Lakera – Protecting AI teams that disrupt the world.](/content/blog/ai-gateways-what-they-are-what-they-control-and-why-they-matter.html): An AI gateway is a centralized control plane for managing models, guardrails, identity, and cost across providers. Learn how AI gateways work and when enterprises need one. (1,870 words)
- [AI Has Stopped Asking for Permission. Has Your Security Team Noticed?  | Lakera – Protecting AI teams that disrupt the world.](/content/blog/ai-has-stopped-asking-for-permission-has-your-security-team-noticed.html): Explore how agentic AI is changing enterprise security, why traditional controls fall short, and how an AI Defense Plane helps protect employees, apps, and agents. (1,117 words)
- [Your validation set won’t tell you if a model generalizes. Here’s what will. | Lakera – Protecting AI teams that disrupt the world.](/content/blog/your-validation-set-wont-tell-you-if-a-model-generalizes.html): Uncover why your validation set might not be enough to ensure model generalization. Discover alternative methods for better model testing. (1,226 words)
- [California’s AI Laws Are About to Meet Reality | Lakera – Protecting AI teams that disrupt the world.](/content/blog/californias-ai-laws-are-about-to-meet-reality/index.html): California’s new AI laws take effect January 2026, regulating how customer-facing AI behaves in real conversations—from chatbots to health AI. (1,158 words)
- [What the New MCP Specification Means to You, and Your Agents | Lakera – Protecting AI teams that disrupt the world.](/content/blog/what-the-new-mcp-specification-means-to-you-and-your-agents.html): The new MCP spec changes how AI agents identify servers, authenticate, run tasks, and manage risk. See what’s new and what it means for securing agentic systems. (1,581 words)
- [AI Data Leaks | How Lakera Prevents Sensitive Information Exposure](/content/risk/ai-data-leakage/index.html): Discover how Lakera protects your AI from coercive inputs that hijack instructions, expose data, or break compliance. (595 words)
- [Toxic AI Content | How Lakera Prevents Harmful Language Generation](/content/risk/toxic-content-generation/index.html): Find out how Lakera stops AI systems from producing offensive, biased, or unsafe content that harms user trust. (492 words)
- [Adaptive Defenses for Large Language Models | Lakera – Protecting AI teams that disrupt the world.](/content/blog/adaptive-defenses-for-large-language-models/index.html): Claude Code may expose API keys by storing approved commands in .claude/settings.local.json, which can be unintentionally published with npm packages—here’s how it happens, what we found, and how to prevent it. (822 words)
- [The Expanding Attack Surface of Multimodal LLMs and How to Secure It | Lakera – Protecting AI teams that disrupt the world.](/content/blog/the-expanding-attack-surface-of-multimodal-llms-and-how-to-secure-it.html): Discover how attackers exploit voice inputs to bypass LLM defenses—and how Lakera Guard detects and blocks even the most subtle audio-based prompt attacks in real time. (898 words)
- [The Rise of the Internet of Agents: A New Era of Cybersecurity | Lakera – Protecting AI teams that disrupt the world.](/content/blog/the-rise-of-the-internet-agents-a-new-era-of-cybersecurity.html): As AI-powered agents go online, securing our digital infrastructure will require a fundamental shift in cybersecurity. (1,341 words)
- [Aligning with the OWASP Top 10 for LLMs (2025): How Lakera Secures GenAI Applications | Lakera – Protecting AI teams that disrupt the world.](/content/blog/owasp-top-10-for-llm-applications-lakera-alignment/index.html): Explore how Lakera's AI security aligns with OWASP's Top 10 for LLMs. (1,227 words)
- [Decoding AI Alignment: From Goals and Threats to Practical Techniques | Lakera – Protecting AI teams that disrupt the world.](/content/blog/ai-alignment/index.html): Discover the fundamentals of AI alignment and why ensuring AI systems align with human values is crucial. Learn how AI alignment addresses risks and guides the development of safe, beneficial AI for society. (949 words)
- [Continuous testing and model selection with Lakera and Voxel51 | Lakera – Protecting AI teams that disrupt the world.](/content/blog/continuous-testing-and-model-selection-with-lakera-and-voxel51.html): Discover how continuous testing and model selection are enhanced with Lakera and Voxel51. Learn about their impact on AI development and testing. (437 words)
- [AI Compliance Risks | How Lakera Ensures Secure, Compliant AI](/content/risk/compliance-regulatory-risks/index.html): See how Lakera helps organizations meet privacy, data protection, and industry compliance standards for AI systems. (752 words)
- [AI Model Risk Index](/content/ai-model-risk-index/index.html) (476 words)
- [AI Security Isn’t One Problem Anymore. So Why Are We Still Treating It Like One? | Lakera – Protecting AI teams that disrupt the world.](/content/blog/ai-security-isnt-one-problem-anymore-so-why-are-we-still-treating-it-like-one.html): AI security is no longer one problem. Learn how the AI Defense Plane helps organizations secure employees, applications, and agents with unified runtime control. (927 words)
- [How to select the best machine learning models for computer vision? | Lakera – Protecting AI teams that disrupt the world.](/content/blog/how-to-select-the-best-machine-learning-models-for-computer-vision.html): Uncover expert tips on selecting the best machine learning models for computer vision. Enhance your project's efficiency with the right model. (1,135 words)
- [Red Teaming Agentic Capabilities in NVIDIA NeMo Agent Toolkit   | Lakera – Protecting AI teams that disrupt the world.](/content/blog/red-teaming-agentic-capabilities-in-nvidia-nemo-agent-toolkit.html): A practical walkthrough of how NeMo Agent Toolkit v1.4 enables system-level red teaming for AI agents, with structured risk scoring and end-to-end evaluation of agentic workflows. (919 words)
- [Indirect Prompt Injection | How Lakera Secures Linked Content](/content/risk/indirect-prompt-injection/index.html): Indirect prompt injections hide malicious instructions in external content. See how Lakera stops them before they reach your AI. (715 words)
- [Multilingual & Multimodal AI Attacks | How Lakera Protects Every Input](/content/risk/multilingual-multimodal-attacks/index.html): Learn how Lakera defends AI systems against hidden or adversarial prompts embedded in different languages, images, and media formats. (554 words)
- [3 Strategies for Making Your ML Testing Mission-Critical Now | Lakera – Protecting AI teams that disrupt the world.](/content/blog/3-strategies-for-making-your-ml-testing-mission-critical.html): Learn three essential strategies for making ML testing a top priority in mission-critical environments. Discover how systematic testing can ensure the reliability and safety of machine learning systems. (498 words)
- [Prompt Injection Attacks | How Lakera Protects AI Systems](/content/risk/prompt-injection-attacks/index.html): Discover how Lakera protects your AI from coercive inputs that hijack instructions, expose data, or break compliance. (434 words)
- [Remote Code Execution: A Guide to RCE Attacks & Prevention Strategies | Lakera – Protecting AI teams that disrupt the world.](/content/blog/remote-code-execution/index.html): Remote Code Execution (RCE) is a serious threat. Discover what it is, why it's dangerous, and the vital steps you need to take to mitigate the risks. (889 words)
- [Navigating the AI Regulatory Landscape: An Overview, Highlights, and Key Considerations for Businesses | Lakera – Protecting AI teams that disrupt the world.](/content/blog/navigating-the-ai-regulatory-landscape-an-overview-highlights-and-key-considerations-for-businesses.html): Rising AI safety concerns spark global collaboration in the EU, US, and UK to manage risks. Discover key regulatory developments and business impact. (1,317 words)
- [Claude 4 Sonnet: A New Standard for Secure Enterprise LLMs? | Lakera – Protecting AI teams that disrupt the world.](/content/blog/claude-4-sonnet-a-new-standard-for-secure-enterprise-llms.html): Claude Sonnet 4 makes real gains in LLM security—but no model is immune. Compare Claude to LLaMA 4 and explore what it really takes to secure GenAI systems today. (979 words)
- [Introduction to Data Poisoning: A 2026 Perspective | Lakera – Protecting AI teams that disrupt the world.](/content/blog/training-data-poisoning/index.html): Data Poisoning in 2025: real incidents across training, RAG, tools, and synthetic data, and how to counter them with data provenance, adversarial red teaming, and runtime guardrails. (562 words)
- [READY OR NOT: Securing the AI Enterprise | Lakera – Protecting AI teams that disrupt the world.](/content/blog/ready-or-not-securing-the-ai-enterprise/index.html): Join READY OR NOT, a 5-session webinar series by Lakera and Check Point exploring AI agent security, red teaming, governance, and AI security readiness for enterprises. (496 words)
- [Why We Need OWASP’s AIVSS: Extending CVSS for the Agentic AI Era | Lakera – Protecting AI teams that disrupt the world.](/content/blog/why-we-need-owasps-aivss-extending-cvss-for-the-agentic-ai-era.html): Discover OWASP’s AIVSS: the new scoring system that extends CVSS to capture the real risks of agentic AI systems. (985 words)
- [From Access Control to Outcome Control: Securing AI Agents with Check Point and Google Cloud | Lakera – Protecting AI teams that disrupt the world.](/content/blog/from-access-control-to-outcome-control-securing-ai-agents-with-check-point-and-google-cloud.html): Learn how Check Point and Google Cloud secure AI agents by moving beyond access control to real-time outcome control, governing agent behavior and preventing unsafe actions at runtime. (621 words)
- [Secure AI Agents from Discovery to Runtime](/content/ai-agent-security/index.html): AI agents are being built and deployed faster than security teams can govern them. Discover your agent landscape, assess risk, and enforce protection in real time. (690 words)
- [The computer vision bias trilogy: Shortcut learning. | Lakera – Protecting AI teams that disrupt the world.](/content/blog/the-computer-vision-bias-trilogy-shortcut-learning/index.html): Discover Daniel Kahneman's take on heuristic shortcuts and biases in both humans and AI, highlighting the concept of "shortcut learning". (523 words)
- [2025 GenAI Security Readiness Report: A Clearer Picture of Where Enterprises Stand | Lakera – Protecting AI teams that disrupt the world.](/content/blog/2025-genai-security-readiness-report-where-enterprises-stand.html): Discover key insights from Lakera’s 2025 GenAI Security Readiness Report—adoption trends, top risks, and why confidence without vigilance isn’t readiness. (529 words)
- [AI Red Teaming: Adversarial Testing for AI Applications and Agents](/content/ai-red-teaming/index.html): Identify, test, and remediate vulnerabilities in AI applications and agents with adversarial red teaming designed for real-world threats. (309 words)
- [Q4 2025 AI Agent Security Trends](/content/ai-security-guides/q4-2025-ai-agent-security-trends/index.html): See how real attackers are already exploiting AI agents. Q4 2025 data on prompt leakage, indirect attacks, and emerging agent risks. (386 words)

## Resources

- [Full Page Index](/index.html): Browse all cached pages with rich metadata
- [About This Cache](/about.html): Methodology, technical details, and usage guidelines
- [XML Sitemap](/sitemap.xml): Machine-readable sitemap for crawler discovery
- [Robots.txt](/robots.txt): Crawler directives
- [AgentSite Network](https://agentsite.network/network.html): Public index of AgentSites and their machine-readable resources