Sentra has introduced an autonomous AI-hacker solution that continuously evaluates the security posture of organizations from the attacker’s viewpoint. The product targets small and medium-sized businesses as well as large corporations seeking practical insight beyond static vulnerability lists.
Traditional security assessments often produce lengthy inventories of weaknesses without clarifying whether those issues can be chained to reach critical systems. Sentra’s platform addresses this gap by deploying teams of specialized AI agents that conduct reconnaissance, examine web applications and APIs, formulate attack hypotheses, and assemble realistic exploit chains.
Confirmed findings are validated for actual exploitability within authorized testing boundaries. The system places special emphasis on logical errors, including improper access segregation, excessive privileges, flawed role and identifier handling, and insecure API workflows. It also detects combinations of seemingly minor issues that together open pathways for attackers.
For every validated attack chain, the solution generates technical proof-of-concept evidence, a risk description, a list of affected components, and remediation recommendations. After fixes are applied, the platform automatically performs re-testing to confirm resolution.
The vendor links this continuous validation cycle to the CTEM framework for ongoing threat exposure management. Additional use cases include vulnerability prioritization, pre-release application testing, and purple teaming exercises that evaluate defensive controls while training security teams.
The product is available from the Sentra cloud or can be deployed on-premises. According to the company, it is included in the Russian software registry and supports substitution of underlying language models to satisfy customer-specific requirements. Functional testing with several integrators has been completed, and pilot deployments are underway at Russian enterprises.
