Discover the meaning of SAST, a method for finding security issues in code early in development. See why SAST is key for catching vulnerabilities, enhancing code quality, and ensuring compliance.
Learn about essential mobile application penetration testing tools, their features, and best practices to secure your app, protect user data, and stay compliant with regulations.
Explore various security testing tools like SAST, DAST, and IAST, and learn how they help identify cyber risks, enhance compliance, and strengthen cybersecurity defenses.
Discover the importance of application security testing to secure data, avoid breaches, and comply with regulations. Learn key testing types and emerging trends.
Explore 15 essential network penetration testing practices to identify and fix vulnerabilities, strengthen defenses, and protect your network from cyber threats.
Discover the top 12 best practices for web application pentesting to strengthen security, identify vulnerabilities, and protect your app from cyberattacks.
Learn about the Open Web Application Security Project (OWASP) Top Ten, a key guide for tackling the most critical web app vulnerabilities. Follow best practices to reduce security risks and ensure data protection.
Understand the OWASP Top 10 risks to web apps and how to secure against them. Discover the latest threats, compliance needs, and strategies to boost your web app security.
Learn how to manage LLM10:2025 Unbounded Consumption risks in AI models. Explore causes, mitigation strategies, and trends.
Learn how to tackle misinformation propagation in LLMs. Explore LLM09:2025 Misinformation risks, strategies, and future trends.
Learn how to secure vectors and embeddings in LLM applications by addressing LLM08:2025 vector and embedding weaknesses for safer AI systems.
Learn how to safeguard AI systems against LLM07:2025 System Prompt Leakage, a critical vulnerability in modern LLM applications, with actionable strategies.
Explore the LLM06:2025 Excessive Agency risk in LLM applications, its implications, & effective mitigation strategies for secure AI systems.
Learn about LLM05:2025 Improper Output Handling in LLMs & discover key strategies to ensure secure & reliable output for AI systems.
Discover the risks of LLM04: Data and Model Poisoning in LLM Applications, its impact on AI security, and proven mitigation strategies.
Learn how to address LLM03:2025 Supply Chain vulnerabilities in Large Language Model applications. Discover key risks, mitigation strategies, and best practices for securing AI systems.
Learn how to address LLM02:2025 Sensitive Information Disclosure, a critical vulnerability in large language models, and protect sensitive data effectively.
Learn effective strategies to mitigate LLM01:2025 Prompt Injection risks and secure your large language model applications against evolving threats.