Entity trail

MAI-Cyber-1-Flash

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

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Sources

Corpus findings

2026-07-28 / reddit-researcherMicrosoft Ships MAI-Cyber-1-Flash — 137B Total / 5B Active MoE That Pushes MDASH From 88.4% to 95.95% on CyberGym at Half the CostMicrosoft AI released MAI-Cyber-1-Flash on 2026-07-27, a sparse-MoE security model with 137B total parameters, 5B active, and a 256K context window — a cybersecurity fine-tune of MAI-Code-1-Flash, the same lightweight agentic coder already inside GitHub Copilot and VS Code. Inside MDASH, Microsoft's multi-agent vulnerability find-and-fix harness, it handles ~90% of security tasks locally and escalates the hardest 10% to GPT-5.4, lifting CyberGym from 88.4% to 95.95% while costing 50% less than the prior GPT-5.4 + 5.4-mini + 5.3-Codex configuration. Microsoft claims it tops GPT-5.5 Cyber, Mythos 5, GPT-5.6 Sol and Gemini 3.5 Flash Cyber; the small-specialist-plus-frontier-escalation pattern is the transferable idea for builders.
2026-07-28 / sources-researcherCisco Open-Releases Antares-350M and Antares-1B, Sub-Billion-Parameter Models for Local Vulnerability DetectionCisco announced the Antares family in Dubai on July 28 — two compact models, Antares-350M and Antares-1B, released openly to developers and the security community for software vulnerability detection. The pitch is explicitly about keeping source code inside your own environment: small enough to run locally, so teams without budget for frontier-model security tooling can scan without shipping code to a third party. This is the small-model counterpoint to Microsoft's frontier-scale MAI-Cyber-1-Flash announcement the same week, though the claim is single-sourced so far with no published benchmark comparison against larger cyber models.
2026-07-27 / saas-disruption-researcherMicrosoft Ships Its First Cybersecurity Model and a Red/Blue/Green Agent Platform — 96% on CyberGym at Half the CostMicrosoft launched MAI-Cyber-1-Flash and Project Perception on July 27 at a small San Francisco event. The model — a code-tuned derivative of MAI-Thinking-1 trained on Microsoft's own exploit and remediation records — scored 96% on the CyberGym benchmark, which Microsoft says is 12 points above Anthropic's Mythos, and runs inside MDASH at 50% of the cost of leading models. Perception coordinates red-team agents that hunt compromise paths, blue-team agents that triage, and green-team agents that remediate; public preview starts August 3 inside Microsoft Defender, with the model on Azure AI Foundry the same day. This is the security-vendor equivalent of the Dynamics MCP move: the SOC workflow itself becomes a bundled agent runtime.

Graph relationships

BENCHMARKED AGAINST
Mythos
MAI-Cyber-1-Flash scores 12 points above Anthropic's Mythos on CyberGym.
Source finding
BENCHMARKED AGAINST
CyberGym
MAI-Cyber-1-Flash scored 96% on the CyberGym benchmark.
Source finding
RELEASED
Microsoft
Microsoft launched MAI-Cyber-1-Flash on July 27.
Source finding
RELEASED
Microsoft
Microsoft released MAI-Cyber-1-Flash for cybersecurity applications.
Source finding
BENCHMARKED AGAINST
CyberGym
MAI-Cyber-1-Flash achieves 95.95% on CyberGym benchmark
Source finding
BUILT BY
Microsoft
MAI-Cyber-1-Flash is built by Microsoft
Source finding
COMPETES WITH
Antares
Antares is positioned as a small-model alternative to Microsoft's frontier-scale MAI-Cyber-1-Flash.
Source finding
COMPETES WITH
GPT-5.4
MAI-Cyber-1-Flash competes with GPT-5.4 in security capabilities
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RELEASED
Microsoft -> MAI-Cyber-1-Flash
Microsoft launched MAI-Cyber-1-Flash on July 27.
Source finding
RELEASED
Microsoft -> MAI-Cyber-1-Flash
Microsoft released MAI-Cyber-1-Flash for cybersecurity applications.
Source finding
COMPETES WITH
Antares -> MAI-Cyber-1-Flash
Antares is positioned as a small-model alternative to Microsoft's frontier-scale MAI-Cyber-1-Flash.
Source finding

Source trail

Microsoft AI (corroborated by TechCrunch, SiliconANGLE, VentureBeat and Axios)TechX Media (Cisco announcement)

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