Explore vulnerability management frameworks like CISA, NIST, and SANS. Learn tools and strategies to identify, assess, and fix vulnerabilities effectively.
Explore various vulnerability assessment types & methodologies to safeguard your network, systems, and applications from potential security threats.
Discover the importance of vulnerability assessments in identifying security risks and protecting your systems from potential attacks. Learn how it's done and why it matters.
Discover how the OCRC framework enhances vulnerability tracking in penetration testing with clear stages—Open, Confirmed, Resolved, and Closed.
Discover cloud data security best practices to secure your business's sensitive information against unauthorized access and cyber threats.
Server-Side Request Forgery (SSRF) is a critical vulnerability that attackers exploit to access sensitive data. Discover its risks, real-world examples, and effective mitigation strategies.
Discover how ASR rules can protect your organization by blocking risky activities, preventing credential theft, and securing endpoints for robust digital defenses.
Explore key methods for attack surface reduction, from network and endpoint security to zero-trust models. Protect your organization by minimizing cyber vulnerabilities.
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.