Source code auditing has traditionally relied on static analyzers that flag long lists of potential issues, leaving engineers to sort bugs from noise. A new open-source project from offensive-security firm SecureLayer7 takes a different route, using LLMs to read a codebase, trace how data moves through it, and produce working exploit code for the vulnerabilities…
Tag: traditionally
AI, Exploits, Global Security News, Network Security, Risk Management
AI is breaking traditional security models — Here’s where they fail first
Traditionally, enterprise security operating models operated a fixed and regular cycle: Findings surfaced through periodic scans, security teams triaged results and remediation followed through ticket-based workflows. It was almost an SOP of sorts; the accountability existed, but it was often implicit and fragmented. The remediation would travel across tools, teams and handoffs rather than designed…
AI, Apps, Cybersecurity, Endpoint, Exploits, Global Security News, Network Security, Risk Management
Inside AWS Security Agent: A multi-agent architecture for automated penetration testing
AI agents have traditionally faced three core limitations: they can’t retain learned information or operate autonomously beyond short periods, and they require constant supervision. AWS addresses these limitations with frontier agents—a new category of AI that performs complex reasoning, multi-step planning, and autonomous execution for hours or days. Multi-agent collaboration has emerged as a powerful…