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Agents Versus Agents: Microsoft’s Big Bet on AI Security

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Microsoft’s Answer to AI Threats? More AI

David Weston, Microsoft’s corporate VP for AI security, put it plainly during a July 27 security launch preview: you need agents to fight agents. That single idea drove nearly everything the company announced that day.

The Redmond giant rolled out a batch of new products and initiatives aimed at defending against AI-enabled attacks. The lineup includes a new agentic security system, a custom cyber-focused AI model, a research lab staffed by DARPA competition winners, and a global red teaming alliance.

Here’s a breakdown of what Microsoft announced and why it matters for security teams.

Project Perception: Red, Blue, and Green Agents Working Together

The centerpiece is Project Perception, an agentic security system designed to continuously identify, evaluate, and reduce security risk. It coordinates three types of specialized agents that work in tandem to improve security posture over time:

  • Red agents probe for potential attack paths and vulnerabilities before they can be exploited.
  • Blue agents investigate findings, apply security context, and determine what constitutes meaningful risk.
  • Green agents take corrective action and strengthen defenses across the environment.

This approach mirrors Google’s AI Threat Defense platform, powered by Wiz’s Red, Blue, and Green agents, which launched in May 2026.

Hayete Gallot, executive VP at Microsoft Security, explained why this matters at scale. Microsoft sees about 100 trillion signals a day. That’s an overwhelming amount of raw data.

“We sit at your identity, data, cloud, code and even AI level,” she said. “If you add our security research, threat intelligence and red teaming efforts, you end up with even more signals.”

But raw data alone isn’t useful. “If you were to apply an agent to that raw data, it would be very slow and you would get terrible results,” Gallot added. “That’s why we are connecting and correlating all those signals so we can provide a ‘security context,’ which is organized efficiently for our agents.”

Weston noted that Project Perception will be multi-model. He demonstrated several “playbooks” based on operations a security operations center (SOC) might face. Perception enters Preview mode for all Microsoft customers on August 3.

MAI-Cyber-1-Flash: Microsoft’s First Cyber-Focused AI Model

Gallot also unveiled MAI-Cyber-1-Flash, a generative AI model built specifically for cybersecurity use cases, particularly software vulnerability analysis.

Developed by Microsoft AI (MAI), the model builds on the company’s internally developed MAI-Thinking-1 reasoning model. It’s integrated into Microsoft Security’s multi-model agentic scanning harness (MDASH).

Mustafa Suleyman, CEO at Microsoft AI, said the system is further enhanced by GPT-5.4. In CyberGym benchmarking, it outperformed competing solutions from Anthropic, OpenAI, and Google.

The numbers are striking. MAI-Cyber-1-Flash, combined with the GPT-4.5 enhancement, achieved a 95.95% success rate on the CyberGym benchmark. For comparison:

  • OpenAI’s GPT-5.5 Cyber scored 85.6%
  • GPT-5.6 Sol achieved 83.6%
  • Anthropic’s Mythos recorded 83.8%
  • Google’s Gemini 3.5 Flash Cyber reached 83.2%

Within MDASH, MAI-Cyber-1-Flash handles roughly 90% of queries, identifying and patching software vulnerabilities before verifying the fixes work. The remaining 10% of more complex tasks go to the larger GPT-5.4 model.

Suleyman said GPT-5.4 is about ten times larger than MAI-Cyber-1-Flash and can resolve the queries handed off to it. He also claimed the collaboration delivers stronger performance than competing systems while costing roughly 50% less.

From DARPA AIxCC Winners to the Microsoft Security FORGE Lab

Microsoft also announced the launch of the Security Frontier Offensive Research and Generative Exploration (FORGE) Lab.

The lab will be led by Team Atlanta, the cybersecurity researchers who won DARPA’s AI Cyber Challenge (AIxCC) at DEFCON in summer 2025. Microsoft hired the team to head the initiative, Gallot said.

Taesoo Kim, who led Team Atlanta, will head the FORGE Lab. He described the DARPA competition as a “real world AI cyber challenge” and said the winning teams combined cutting-edge research with practical engineering.

DARPA’s process encouraged teams to “strike the balance between engineering and high-risk, high-return research throughout the competition,” Kim reported. Microsoft, he said, provided the ideal environment to translate those advances into production given its scale across Azure and GitHub.

The lab’s mission, Kim explained, is to “advance the frontier of offensive security research and accelerate the evolution from AI-assisted vulnerability discovery to autonomous security research.” In other words, FORGE is meant to be the bridge from DARPA-level breakthroughs to enterprise defenses.

External Red Team Alliance: Spreading AI Safety Research Worldwide

Finally, Microsoft announced the External Red Team Alliance (EXTRA), a two-pronged initiative to broaden AI safety research.

The first piece involves Microsoft’s in-house AI red team distributing “unrestricted gifts” to 18 university labs across six continents, all in support of AI safety-related research.

Ram Shankar Siva Kumar, Microsoft’s head of the AI red team, explained in a blog post published July 17 that the funding comes with no strings attached. The goal isn’t to steer research toward specific products or predetermined outcomes.

Some of these universities are digging into the cybersecurity risks posed by AI systems themselves, looking at how models might be exploited, manipulated, or misused in real-world settings. Others are tackling the flip side: how AI can be leveraged to strengthen defenses and enhance cyber operations.

The initiative’s second component focuses on assembling a distributed network of specialized experts who can contribute to red teaming efforts in niche areas. According to Siva Kumar, this network will draw on researchers, practitioners, and regional specialists with knowledge of particular attack methods, languages, cultural nuances, or technical fields, areas where Microsoft’s internal teams may lack complete coverage.

For security teams watching the AI arms race, Microsoft’s message is clear: the defenders need the same weapons as the attackers. Whether that bet pays off will depend on execution, but the company is certainly not sitting still.

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G7 Tells the World to Speed Up the Quantum-Safe Encryption Transition

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Quantum Risk Is No Longer a Distant Worry

For years, the threat of quantum computers breaking today’s encryption felt like a problem for the next generation. The G7 just declared that mindset obsolete.

On September 3, under France’s 2026 G7 Presidency, the French National Cybersecurity Agency (ANSSI) — which chairs the G7 Cybersecurity Working Group — published a new call to action. It pushes governments and private organizations to start the quantum-safe encryption transition now, not later.

The document is blunt: reframe the quantum threat from “a distant future problem” to “a near-term threat that demands action across all sectors, not just critical infrastructure.”

Why the Sudden Urgency?

Quantum computers capable of breaking RSA and ECC — the very backbone of public-key cryptography — aren’t here yet. But the G7 notes that “several recent advances suggest an anticipation” of such machines. The exact timeline is uncertain, which is precisely the problem.

Attackers can already harvest encrypted data today and decrypt it later, once quantum machines mature. That’s the “harvest now, decrypt later” scenario that keeps security experts up at night. Waiting for proof that a working quantum computer exists would be a catastrophic mistake.

What the G7 Wants Organizations to Do

The call to action isn’t just a warning. It lays out a practical roadmap for the PQC migration.

First, identify the systems holding your most critical data. Prioritize those for the transition. Then inventory all cryptographic assets, map dependencies, and build a phased, risk-based plan.

The G7 also has a cost-saving tip: integrate post-quantum cryptography (PQC) into products you’re already buying. Replace systems as part of your standard renewal schedule rather than doing emergency rip-and-replace later. Starting early, the document argues, means lower migration costs overall.

Five Priorities for Governments and Industry

The G7 document outlines five concrete priorities that need attention from policymakers and the private sector:

  • Raise awareness about quantum threats across all sectors.
  • Develop national PQC strategies, including building an adequate supply of quantum-safe hardware and software.
  • Focus R&D on advancing PQC through practical innovation.
  • Build public-private partnerships between government, industry, and academia to grow domestic expertise.
  • Integrate PQC into cybersecurity requirements and procurement standards.

The document was signed by the national cybersecurity agencies of all G7 members — Canada, France, Germany, Italy, Japan, the UK, and the US — with support from the EU Commission and the EU Agency for Cybersecurity (ENISA).

ANSSI Is Already Moving the Goalposts

This isn’t ANSSI’s first warning shot. Months earlier, the agency announced it would stop vetting products that lack quantum-safe encryption starting in 2027. By 2030, post-quantum security becomes mandatory in procurement for certain security products in France.

That’s a hard deadline. If you sell security products into the French market, the clock is ticking. The G7 call to action suggests other member states may follow suit with similar requirements.

What This Means for Your Security Roadmap

If you haven’t started planning for the quantum-safe encryption transition, this document is your cue. The conversation has shifted from “if” to “when,” and from “someday” to “now.”

Start by taking inventory. You can’t protect what you don’t know you have. Map your cryptographic dependencies, identify crown-jewel data, and begin conversations with vendors about their PQC roadmaps. Many cybersecurity vendors are already preparing for the migration — make sure yours is one of them.

The quantum threat isn’t science fiction anymore. The G7 just made that official. Will your organization be ready when the deadline hits?

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OpenAI Puts $1 Billion on the Table to Arm Critical Services with AI Defenses

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A Billion-Dollar Bet on the Little Guys

OpenAI has committed a staggering $1 billion to put its cutting-edge AI cybersecurity tools into the hands of those who need them most: the people keeping your lights on and your water running. The announcement, made on September 3, outlines a plan to subsidize access to its Daybreak AI models for essential services across the United States and, eventually, the globe.

It’s a direct response to a grim reality. Small municipalities, rural utilities, and local non-profits are getting hammered by sophisticated cyberattacks, yet they often lack the budget and specialized staff to fight back effectively. They are defending aging infrastructure with outdated tools against adversaries who move at machine speed.

This isn’t charity; it’s a strategic move to level a playing field that has grown dangerously tilted.

What Exactly is Daybreak?

For the uninitiated, Daybreak is OpenAI’s dedicated cybersecurity initiative, first unveiled back in May 2026. It’s not a single product but a suite of capabilities that leverages the company’s frontier large language models (LLMs) alongside its AI-coding assistant, Codex. These tools are designed to be deployed by approved defenders for a wide range of security tasks.

By August, OpenAI had evolved this into a two-tier system: Daybreak Red and Daybreak Blue. Red focuses on offensive security—hunting for vulnerabilities before the bad guys find them. Blue is about defense, helping teams monitor, analyze, and respond to threats in real time.

The New ‘Frontline Defenders’ Program

The new initiative, dubbed Daybreak for Frontline Defenders, is all about integration. OpenAI isn’t just handing out API keys. The program is designed to help critical sectors actually embed these AI models into their existing cybersecurity tools, services, and daily workflows. The goal is to make AI assistance as routine as a firewall update.

Which sectors are first in line? Think water treatment plants, electricity grids, local government networks, non-profits, and banking institutions. The rollout starts in the US, but OpenAI explicitly states it intends to expand to partner countries in the coming weeks.

The potential impact is huge. With Daybreak access, a two-person IT team at a rural water authority could review legacy code for flaws, analyze suspicious network activity, and even develop and test fixes—tasks that would typically require a team of expensive security engineers.

A Pilot with MS-ISAC: Putting Words into Action

Talk is cheap, so OpenAI is pairing the pledge with a concrete pilot. They’ve announced a collaboration with the Multi-State Information Sharing and Analysis Center (MS-ISAC). This pilot will pair Daybreak access with guided training and hands-on assistance for an initial group of public sector and water system defenders.

MS-ISAC is a critical piece of the US cyber defense puzzle. It provides threat intelligence, incident-response support, and real-time information sharing to thousands of public-sector organizations. The plan is to start small, develop a repeatable approach, and then expand the partnership over time. It’s a sensible, methodical start.

The Stark Warning That Preceded the Check

This $1 billion pledge didn’t happen in a vacuum. It landed exactly one week after a coalition of over 100 tech and cybersecurity companies—OpenAI included—published an open letter on August 27. That letter was a blunt instrument, warning of a “narrowing window” to act before AI-enabled attacks escalate to a level that puts critical public services at severe risk.

The message was clear: the same AI that powers defensive tools also supercharges attackers. If we don’t democratize access to frontier AI for defenders, we’re essentially handing the keys to the kingdom to cybercriminals.

OpenAI echoed this sentiment in its announcement, stating that the defender’s window “will not stay open indefinitely.” The opportunity, they argue, is to ensure the advantages of frontier AI extend beyond the largest companies and best-resourced security teams, reaching into the communities and institutions whose security affects millions of people.

Beyond this pledge, OpenAI is also working on what it calls a Defense Factory—an automated approach designed to continuously discover, validate, and fix vulnerabilities. It’s part of a broader push to make AI-driven security proactive rather than reactive.

For anyone tracking the intersection of AI and national security, this is a significant development. The question isn’t whether AI will play a role in defending critical infrastructure—that’s a given. The real question is whether the defenders of that infrastructure will have equal access to the tools. With this billion-dollar bet, OpenAI is trying to make sure they do. For more on how AI is reshaping security, check out our analysis of AI-powered threat detection methods and the growing role of automated vulnerability patching tools.

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US and UK Join Forces to Dismantle Scam Centers Behind Billions in Fraud

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A New Alliance Against Cyber Fraud

The United States and the United Kingdom are pooling resources to shut down the sprawling scam centers that have siphoned billions from victims worldwide. A memorandum of understanding signed Thursday commits both nations to parallel investigations and shared intelligence on the organized crime networks behind these operations, many of which are based in Southeast Asia.

U.S. Attorney Jeanine Ferris Pirro met with senior officials from the U.K.’s National Crime Agency and Crown Prosecutor to formalize the agreement. Pirro stated the objective is to “disable” the Chinese gangs that operate these compounds.

How the Partnership Will Work

The memorandum outlines a framework for both countries to identify overlapping cases and decide which jurisdictions will bring charges. The goal is to prioritize cases that can deliver significant mutual impact.

Officials from both sides had already flagged substantial case overlaps. They are now committed to a joint disruption event with private industry partners, scheduled for early October in London and hosted by the National Crime Agency.

The Scam Center Strike Force Takes the Lead

This initiative is spearheaded by the Scam Center Strike Force, launched last November to coordinate U.S. enforcement against cyber-enabled fraud. The numbers are staggering: the FBI reports that cyber-enabled fraud accounts for nearly 85% of all losses reported to the agency. Americans lost over $12 billion to these scams last year — a figure likely far below reality, as many victims never come forward.

Assistant U.S. Attorney Karen Seifert leads the Strike Force. Testifying before Congress in March, she noted the team includes more than 150 personnel, drawing on prosecutors and agents from the FBI, IRS, and U.S. Postal Inspection Service.

Human Trafficking at the Core

These scam centers are not merely criminal enterprises; they are built on human trafficking. Victims are held in compounds across Myanmar, Cambodia, Laos, and neighboring countries, forced to run investment and romance fraud schemes. Chinese syndicates control the operations, often with the complicity of compromised local officials.

Early Wins and the Road Ahead

The Strike Force has already claimed a major victory. The disruption of Prince Group, a Chinese front company used to launder illicit proceeds, led to sanctions from both U.S. and U.K. agencies. The Justice Department also seized roughly $15 billion in bitcoin tied to the company’s CEO, Chen Zhi.

That seizure sent a clear message. But the problem is vast, and the syndicates are adaptive. The new US-UK partnership signals a recognition that no single nation can tackle this threat alone.

For more on related efforts, see how cyber fraud reporting works and the rise of Southeast Asian scam compounds.

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