AI is transforming cybersecurity, enabling attackers to find vulnerabilities at scale. It introduces an “AI vs. AI” approach. Geniez AI brings real-time, AI-native security to the mainframe helping organizations continuously detect and mitigate risks
With recent AI technological advancements, LLMs and coding agents are now able to detect and exploit previously unknown security vulnerabilities in code, as well as identify RACF misconfigurations and access-control exposures that have historically gone unnoticed by traditional tools for decades
The risk has elevated and companies are no longer dealing with human attackers, but have to protect from advanced AI agents trying to exploit unknown security vulnerabilities at machine speed.
In an attempt to protect critical infrastructure from rapidly evolving cyber threats, the US government, together with Anthropic, has launched the “Project Glasswing” initiative to address the emerging risks posed by frontier AI systems.
By connecting the leading LLMs to your mainframe, Geniez enables companies to leverage Opus 4.7, GPT 5.5-cyber and all newest models for security vulnerability testing of your real time mainframe data, code and configurations.
The heads of the US Treasury and Federal Reserve called an emergency meeting with Wall Street leaders over concerns that Anthropic's newest AI model posed a critical threat to the finance industry.
Fed Chair Jerome Powell and Treasury Secretary Scott Bessent met with the heads of major U.S. banks: JPMC, Bank of America, Citi, Wells Fargo, Morgan Stanley and Goldman Sacks to discuss the cyber threat of Anthropic’s new Mythos model.
APF, SVC, PPT, LPA, AUTH TSO/E,...
Configuration and permission chains
Vulnerability scanning COBOL, ASM, PL/I
Anomaly detection based on RACF, MVS, TCP/IP SMF records
