HackerSec has introduced an autonomous penetration testing platform driven by its Yaga AI agent, representing a fundamental change in how organizations can evaluate their defensive posture.
Traditional automated scanners execute fixed sequences of checks. In contrast, an autonomous agent continuously observes the target environment, interprets responses, generates hypotheses, and adjusts its strategy as new evidence appears. This ability to decide and replan during an engagement distinguishes true autonomy from sophisticated automation.
The key differentiator lies in system architecture. A single discovery in a real pentest can redirect the entire investigation. The agent must retain memory and state, correlate findings made at different times, select appropriate tools, and construct new attack paths. While advanced AI models are essential, they do not by themselves convert a tool into an autonomous pentester.
HackerSec built its platform around a proprietary harness specifically designed for offensive operations. This harness coordinates AI models, security tools, contextual information, memory, and decision-making throughout the engagement. The goal is to let the agent investigate an environment continuously while human specialists review and validate discovered issues.
Yaga currently achieves more than 98 percent effectiveness and signals HackerSec’s transition to an AI-native offensive security model. Rather than simply automating known tests, the platform enables the AI to lead the investigation, adapt its approach, and advance as it gains deeper understanding of the target.
“We are entering a reality where applications change every day and attacks are accelerating with AI,” said Andrew Martinez, CEO of HackerSec. “Conducting pentests two or three times a year is no longer sufficient. Offensive security must evolve into a continuous, autonomous model that tests systems at the same speed they change.”
