Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As AI coding assistants accelerate software development, the volume of pull requests at Datadog has grown to nearly 10,000 per week, increasing the risk that malicious changes slip through due to review fatigue. To address this, Datadog built BewAIre, an LLM-powered code review system designed to identify malicious source code changes introduced by threat actors. By reducing approval fatigue for developers while increasing friction for attackers, BewAIre guides human reviewers to the areas where judgment matters most, without slowing developer velocity.

SOC 2 was built for human-operated systems and predictable infrastructure. Agentic AI introduces systems that can act, adapt, and change over time, creating new governance and risk considerations.

Cybersecurity professionals and CISO roles are under threat. Not from hackers - from AI. Information security leadership, risk management and security strategy are being marketed as something artificial intelligence can now handle. But there's a serious problem with that assumption.

On this week's episode of The Cybersecurity Defenders Podcast, Stel Valavanis, founder of onShore Networks, argues that AI is a significant milestone but does not change where security is headed. He puts AI alongside the Internet and TCP/IP and makes the case that the path forward is clear: fully embrace it as a tool, regardless of which side of the equation you are on. He also points out that agentic and automated AI was already being deployed well before LLMs arrived.

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