This story was originally published on HackerNoon at: https://hackernoon.com/a-developers-guide-to-choosing-the-right-dast-tool-in-2026.
A practical guide for developers to choose the right DAST tool in 2026. Compare top tools, key features, and what really matters for secure applications.
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DAST tools help developers find security flaws in running applications before attackers do. The guide breaks down what to look for in a DAST tool: accuracy, ease of integration, performance, cost, and reporting. You’ll also find a practical rundown of the top DAST tools for 2026, with key features of each.

This story was originally published on HackerNoon at: https://hackernoon.com/adversarial-attacks-on-large-language-models-and-defense-mechanisms.
Comprehensive guide to LLM security threats and defenses. Learn how attackers exploit AI models and practical strategies to protect against adversarial attacks.
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Large Language Models face growing security threats from adversarial attacks including prompt injection, jailbreaks, and data poisoning. Studies show 77% of businesses experienced AI breaches, with OWASP naming prompt injection the #1 LLM threat. Attackers manipulate models to leak sensitive data, bypass safety controls, or degrade performance. Defense requires a multi-layered approach: adversarial training, input filtering, output monitoring, and system-level guards. Organizations must treat LLMs as untrusted code and implement continuous testing to minimize risks.

This story was originally published on HackerNoon at: https://hackernoon.com/cybersecuritys-global-defenders-converge-in-riyadh-for-black-hat-mea-2025.
Black Hat MEA 2025 will bring together over 45k attendees, 450 exhibitors, & 300 global speakers from December 2–4 at Riyadh Exhibition and Convention Center
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