Multiple pentesting vendors enhances security by finding diverse vulnerabilities, ensuring frequent testing, optimizing resources, and gaining a competitive edge through bakeoffs.
Securityium identified a vulnerability in certain Netgear routers, officially labeled as CVE-2021-29069. This flaw, rooted in insufficient validation within the email module, exposes affected devices to severe command injection attacks.
Securityium uncovered critical vulnerabilities in Synology's systems, including unauthenticated file uploads and an SSRF flaw, highlighting the need for continuous vigilance and proactive cybersecurity measures.
In cybersecurity, mere compliance with industry standards is no longer sufficient to protect your organization from the m.
Securityium identified a critical XSS vulnerability, labelled as CVE-2015-6540, in Intellect Core banking software, allowing attackers to execute harmful JavaScript code. Immediate action is needed to mitigate this threat.
<a href="https://www.securityium.com/connectwise-manage-vulnerability-cve-2017-11727/">Securityium found CVE-2017-11727, a medium-severity XSS vulnerability in ConnectWise Manage 2017.5, risking data theft and session hijacking—immediate patching and proactive measures were recommended.</a>
Learn about Vector and Embedding Security, its risks, challenges, and solutions to safeguard LLMs from adversarial attacks and data breaches.
Unbounded consumption in AI models drives high data, computation, and energy use. Learn its impact, challenges, and sustainable solutions.
Learn about system prompt leakage, its risks, real-world cases, and solutions to secure AI models from unintended data exposure.
Learn how to prevent Sensitive Information Disclosure in LLM. Explore risks, real-world cases, and solutions for AI data security.
Learn secure development for LLM applications, key risks, best practices, and trends to build secure, compliant, and trustworthy AI solutions.
Discover how Responsible AI for LLMs ensures fairness, transparency, and accountability in AI systems for a safer digital future.
Protecting sensitive data in LLM training is crucial for security and compliance. Learn risks, solutions, and best practices to stay safe.
Learn about Prompt Injection in LLMs, its risks, real-world examples, and key strategies to mitigate this growing AI security threat.
Explore the OWASP Top 10 LLM Vulnerabilities, their risks, real-world examples, and actionable solutions to secure AI-powered applications.
Learn about the OWASP Top 10 for LLM Applications, key security risks, and best practices to protect AI systems from vulnerabilities.