THREAT OPS › Threat News › Staying Ahead of Adversarial AI Through Agentic Source Code Review
Staying Ahead of Adversarial AI Through Agentic Source Code Review
<div class="block-paragraph_advanced"><div>Written by: Alex Tselevich, Michael Maturi</div> <div><hr /> <h3><span style="vertical-align: baseline;">Introduction</span></h3> <p><span style="vertical-align: baseline;">Adversarial misuse of AI has increased the risk of data theft and extortion events, because when proprietary source code is exposed, defenders must scramble to identify and patch vulne
MITRE ATT&CK techniques
Indicators of compromise
- CVE-2026-13242cve
- CVE-2026-55803cve
- https://www.drupal.org/sa-contrib-2026-062url
- https://www.drupal.org/sa-core-2026-005url
- https://adk.dev/url
- https://antigravity.google/url
- https://cyberdefensesummit.mandiant.com/url
- https://cyberdefensesummit.mandiant.com/conf2026/session/4345117/how-mandiant-orchestrates-gemini-to-find-zero-days-before-adversariesurl
- https://cyberdefensesummit.mandiant.com/conf2026/beginurl