Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Securing AI-Generated Code: Why It Matters

Securing AI-Generated Code: Why It Matters In this video, A10's Madhav Aggarwal explains how using AI for coding is an excellent use case, but the code generated by AI must be safe and secure. As AI and large language models (LLMs) become central to enterprise strategy, securing these powerful workloads is no longer optional—it's essential. A10 Networks' security leaders, Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar, explore the growing security risks associated with AI/LLM adoption and what organizations must do to stay protected.

Security is a Critical Factor in AI Adoption

Security is a Critical Factor in AI Adoption Jamison Utter joins A10's GenAI experts Madhav Aggarwal and Diptanshu Purwar to discuss the critical importance of security for AI adoption. They cover how AI fundamentally shifts the attack surface, requiring a move from traditional rule-based pattern matching to understanding natural language semantics. The team emphasizes the need for alignment in AI to ensure models are "helpful, harmless, and honest" (the 3H philosophy) and highlights the role of red teaming and guardrails in preventing vulnerabilities, such as prompt injection.

The MemcycoFM Show: Episode 8 - What to Look for in a Phishing Site Detection and Takedown Solution

The stark challenge to modern phishing site detection is that the efficacy of a detection strategy is now measured in seconds, not hours. In 2024, threat actors stole credentials in a median of 49 seconds from the moment a phishing email was opened, according to Verizons’s Data Breach Investigation Report (DIBR) report. Given this reality, relying on scanning and takedown or traditional threat intelligence feeds – that inherently lag behind real-time user engagement – is no longer a viable defense against even unsophisticated credential theft and account takeover (ATO) scams.

SCA Tool: Why Developers Love It & Boost ROI Instantly!

Mend.io, formerly known as Whitesource, has over a decade of experience helping global organizations build world-class AppSec programs that reduce risk and accelerate development -– using tools built into the technologies that software and security teams already love. Our automated technology protects organizations from supply chain and malicious package attacks, vulnerabilities in open source and custom code, and open-source license risks.