Explore the importance of CERT-In in protecting critical infrastructure, responding to cyber incidents, and fostering cybersecurity collaboration across India.
Explore the CERT-IN VAPT report, its components, and how it helps organizations identify vulnerabilities and enhance their cybersecurity defenses.
A CERT-In Security Audit helps identify vulnerabilities, improve security, ensure compliance, and protect your organization from cyber threats.
Learn about CERT-IN Guidelines to strengthen cybersecurity, enhance incident response, and protect digital assets in India.
Explore the full form of CERT-In, its functions, and how it strengthens India's cybersecurity efforts to prevent and mitigate cyber threats.
Explore the significance of CERT-IN Directions in India and how organizations can enhance their cybersecurity by following these essential guidelines.
Understand Cyber Essentials certification, its importance, the two levels, and how it strengthens your business’s cybersecurity against common threats.
Learn how CERT-In cyber security helps protect India's digital infrastructure by responding to incidents, issuing alerts, and fostering public awareness to combat cyber threats.
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.