Microsoft Launches MAI-Cyber-1-Flash and Perception for Cybersecurity
Microsoft announced in a company post MAI-Cyber-1-Flash, its first cyber model, and Perception, a new agent system for security workflows. MAI-Cyber-1-Flash is built to find vulnerabilities in complex codebases and is integrated into MDASH, Microsoft’s harness for vulnerability identification and remediation.
Microsoft said MDASH uses MAI-Cyber-1-Flash for up to 90% of tasks and uses GPT-5.4 for the hardest remaining tasks. The company said the combined system scored 96% on CyberGym, 12 points above Mythos, and cuts costs by 50% compared with its current MDASH setup using GPT 5.4, 5.4 mini, and 5.3 codex.
Perception provides teams of agents for security workflows in MDASH. Microsoft said the system can monitor, patch, and close new threat vectors, and will also use MAI-Cyber-1-Flash for more security workflows beyond software vulnerability work.
The tools are scheduled to be available in preview on November 3.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Cybersecurity AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Cybersecurity
Oct 16 Inlayer, JLINC and Vconic Introduce Human Verification for Calls Oct 16 CTM and Huawei Plan AI Network Security Upgrades in Macao Oct 16 Advantech and DEKRA Partner on Industrial Cybersecurity Compliance Oct 15 Cyfendo Offers AI Code Scanning and Patch Review for Small Businesses Oct 15 Perplexity Open Sources SPACE Agent SandboxAI Programming Weekly
Weekly news about AI tools for software engineers, AI enabled IDE's and much more.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Microsoft to Scale Azure Maia to Multiple Gigawatts in 2027
Gurucul Launches AI Risk and Response Security Tool
Palo Alto Networks Launches Unit 42 Continuous Frontier AI Defense
Market Logic Launches DeepSights MCP for AI Assistants
Chainguard launches Harness for AI vulnerability testing
Daily AI Brief: the AI news that matters, in your inbox.