Explore the essentials of attack surface scanning to secure your organization from cyber threats. Understand its relevance, benefits, and modern trends in cybersecurity.
Explore attack surface management, covering its importance, practical examples, current trends, and actionable strategies to secure your digital ecosystem effectively.
Learn about types of attack surface in cybersecurity and how to secure each type with effective strategies, real-world examples, and practical tips.
Discover what is attack surface in cybersecurity, explore key types, and find effective strategies to reduce vulnerabilities and secure your organization.
Learn key methods to reduce your attack surface, including vulnerability assessments, strong access controls, and employee training for better cybersecurity.
This guide covers Android pentesting essentials, including lab setup, APK analysis, SSL pinning bypass techniques, and tools like MobSF, ADB, and Burp Suite for securing Android applications.
Discover what CERT-In is and how it helps safeguard India’s cyberspace by responding to incidents and raising cybersecurity awareness.
Learn about the responsibilities of CERT-In in India, including cybersecurity incident response, threat intelligence sharing, and raising awareness.
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.