Today, Microsoft published its 2026 Responsible AI Transparency Report. The report highlights the progress we’ve made in building and deploying AI responsibly, supporting our customers, and strengthening our responsible AI governance, tools, and practices. You can explore the report in its entirety here.

AI is moving fast, and so are societal expectations. The boundaries of what people can accomplish with AI are expanding, and communities are asking more questions about how AI systems are designed, built, and used. As AI becomes more integral to how we live and work, confidence that AI systems are operating reliably and securely is becoming an essential prerequisite to their broad and beneficial adoption.

At Microsoft, we have been building a responsible AI program for nearly a decade, rooted in two core beliefs: that trust is foundational to realizing the benefits of AI and that the empowerment of people and organizations must remain at the center of our strategy. As capabilities advance and adoption accelerates, that experience is helping us meet this moment and adapt for what comes next.

Our third annual Responsible AI Transparency Report shares how our program is evolving and the priorities that continue to shape our work. Over the last year, investing in three specific areas has enabled us to embed trust more deeply and at greater scale: adaptive governance and technical risk management, practical tools and capabilities, and shared practices and strong partnerships. These investments cut across five trends shaping the AI landscape, including the rapid expansion of agentic AI.

Taken together, these trends and investments underscore our view that model capability alone will not determine the impact of AI. That will depend on organizations that develop and deploy AI technologies that deliver real value—and govern them with the rigor and adaptability needed to earn and sustain trust.

Adaptive governance and technical risk management

As the frontiers of AI advance, we are making our governance more adaptive and more tightly integrated with engineering workflows. In practice, this means that we have updated our policies to better match the AI tech stack and AI value chain, evolved our risk management practices to address emerging AI capabilities and risks, and strengthened the readiness of our responsible AI community: the people who operationalize our program at enterprise scale.

This year, we re-engineered our Responsible AI Standard to make it more adaptive to evolving technical realities, uses, risks, and regulatory requirements. The new Standard is structured by reference to different components of the tech stack—models, platform services, and applications—and the role that Microsoft plays in developing or deploying those components. It combines core requirements that always apply with more targeted, scenario-specific requirements that can evolve as capabilities and risks change. For example, we apply some of our most rigorous risk management measures to AI systems with the most significant cyber capabilities, helping ensure that advances in AI favor the defenders responsible for securing critical digital infrastructure.

We are also evolving our technical risk management practices. Increasingly capable systems can retain memory, use tools, access data, and take actions on behalf of users. Governing these systems requires us to think beyond the behavior of an individual model or application to interactions among models, agents, applications, tools, data, and people. Our work increasingly focuses on controls such as agent identities, tool permissions, and monitoring of actions.

And governance only works when people can put it into practice. We have continued to build responsible AI capabilities across Microsoft, equipping thousands of engineers and product managers with training on topics such as agentic AI threat modeling and prompt injection defenses.

Together, these investments are helping us move toward a more continuous, lifecycle-based approach to AI governance. With agentic AI, risks can evolve as systems interact with their environments, users, and other systems. Our governance needs to evolve with these agentic capabilities—and incorporate what we learn from their testing and deployment.

Practical tools and capabilities

Effective governance depends on tools that help translate policy goals into action. As developers and organizations navigate a more complex technical and regulatory environment, they need practical ways to identify risks, evaluate systems, establish controls, and monitor how AI behaves in the real world.

We are applying what we learn from governing AI at Microsoft into tools, capabilities, and resources that help developers and organizations beyond Microsoft do just that—whether they build on our platforms or leverage open-source projects.

We have expanded tools to evaluate AI systems across the lifecycle. A new AI Red Teaming Agent helps accelerate the identification and evaluation of risks. Agent evaluators help developers measure the quality, safety, and performance of agentic applications. RAMPART turns red team findings into repeatable tests, enabling more continuous coverage as systems change.

We are also building greater visibility and control into agentic systems. With ASSERT and Agent Control Specification, developers can evaluate agents against their policies, place runtime controls at critical points in an agent’s workflow, and monitor behavior.

These tools and capabilities reflect a shift: as systems become more dynamic, governance needs to become more operational. Organizations need to be able to see what their systems are doing, test how they behave, and intervene when necessary—not just assess them before deployment.

Organizations also need confidence—and increasingly need to demonstrate—that responsible AI practices are being implemented consistently. Microsoft is one of the few companies certified against ISO 42001 across a broad portfolio, including Microsoft 365 Copilot, Foundry, and GitHub Copilot. Over the last year, we have simplified and strengthened our internal processes that support that certification.

Ultimately, responsible AI governance is a shared responsibility across the AI value chain. Our goal is to help make the practices and capabilities needed to meet that responsibility more accessible, practical, and scalable.

Shared practices and strong partnerships

The challenges of governing AI are bigger than any one company, and increasingly interconnected AI systems make collaboration even more essential.

As AI adoption expands across borders and sectors, we need shared expectations for how systems are evaluated, monitored, and governed, as well as interoperable standards that enable visibility into interactions across tools, data, and systems. We also need to keep advancing the underlying science and technical practices so that we can benefit from rigorous, applied insights into what effective governance looks like and where the remaining gaps are.

That starts with research. Over the past year, we advanced our work with the US Center for AI Standards and Innovation and AI Safety and Security Institutes in Australia, Singapore, and the UK to strengthen the science and practice of AI evaluation. We also launched an External Red Team Alliance with 18 universities across six continents to expand understanding of priority risks.

Common technical practices and standards are critical. Through the Frontier Model Forum, OpenTelemetry, and the Appia Foundation, we are helping develop approaches spanning frontier cyber benchmarks, end-to-end observability for increasingly agentic systems, and AI assurance across supply chains and sectors. We are also contributing to efforts that make transparency reporting more interoperable across organizations and jurisdictions, including through an OECD-led informal task force that developed the Hiroshima AI Process Reporting Framework version 2.0.

We also need shared ways to measure progress. We cannot meaningfully assess progress if every organization measures AI risks differently. Through our work with MLCommons, we are helping expand AILuminate into a broader suite of reliability benchmarks, creating common approaches for evaluating areas such as jailbreak resilience, multilingual performance, and psychosocial risk in conversational AI.

Shared learning, shared practices and standards, and shared measurement can help the entire ecosystem develop while raising shared expectations for trust.

Meeting the moment and investing for the future

Our experience over the past year has reinforced that responsible AI cannot be static. It has to be embedded in development processes, supported by practical tools, and continually informed by what we learn. That is why our responsible AI investments extend from the systems we build, to the tools we provide our customers, to the research, practices, and measurement approaches we help develop with the broader ecosystem.

Our 2026 Responsible AI Transparency Report explores this work in more depth—from how we re-engineered our Responsible AI Standard to how we are strengthening governance for agentic AI, advancing evaluation, and addressing AI misuse. We invite you to explore the report to see what we have learned, what we have changed, and how we are putting our priorities into practice.

As AI becomes more powerful and more present in people’s lives, our commitment is to keep listening and learning, to keep strengthening our safeguards, and to keep putting the empowerment of people and organizations at the center of our strategy.

The post Responsible AI in 2026: How we are adapting for what’s ahead appeared first on Microsoft On the Issues.

In 80% of the cyber incidents Microsoft’s security teams investigated last year, attackers sought to steal data—a trend driven more by financial gain than intelligence gathering. According to the latest Microsoft Digital Defense Report, written with our Chief Information Security Officer Igor Tsyganskiy, over half of cyberattacks with known motives were driven by extortion or ransomware. That’s at least 52% of incidents fueled by financial gain, while attacks focused solely on espionage made up just 4%. Nation-state threats remain a serious and persistent threat, but most of the immediate attacks organizations face today come from opportunistic criminals looking to make a profit.

Every day, Microsoft processes more than 100 trillion signals, blocks approximately 4.5 million new malware attempts, analyzes 38 million identity risk detections, and screens 5 billion emails for malware and phishing. Advances in automation and readily available off-the-shelf tools have enabled cybercriminals—even those with limited technical expertise—to expand their operations significantly. The use of AI has further added to this trend with cybercriminals accelerating malware development and creating more realistic synthetic content, enhancing the efficiency of activities such as phishing and ransomware attacks. As a result, opportunistic malicious actors now target everyone—big or small—making cybercrime a universal, ever-present threat that spills into our daily lives.

In this environment, organizational leaders must treat cybersecurity as a core strategic priority—not just an IT issue—and build resilience into their technology and operations from the ground up. In our sixth annual Microsoft Digital Defense Report, which covers trends from July 2024 through June 2025, we highlight that legacy security measures are no longer enough; we need modern defenses leveraging AI and strong collaboration across industries and governments to keep pace with the threat. For individuals, simple steps like using strong security tools—especially phishing-resistant multifactor authentication (MFA)—makes a big difference, as MFA can block over 99% of identity-based attacks. Below are some of the key findings.

Critical services are prime targets with a real-world impact

Malicious actors remain focused on attacking critical public services—targets that, when compromised, can have a direct and immediate impact on people’s lives. Hospitals and local governments, for example, are all targets because they store sensitive data or have tight cybersecurity budgets with limited incident response capabilities, often resulting in outdated software. In the past year, cyberattacks on these sectors had real-world consequences, including delayed emergency medical care, disrupted emergency services, canceled school classes, and halted transportation systems.

Ransomware actors in particular focus on these critical sectors because of the targets’ limited options. For example, a hospital must quickly resolve its encrypted systems, or patients could die, potentially leaving no other recourse but to pay. Additionally, governments, hospitals, and research institutions store sensitive data that criminals can steal and monetize through illicit marketplaces on the dark web, fueling downstream criminal activity. Government and industry can collaborate to strengthen cybersecurity in these sectors—particularly for the most vulnerable. These efforts are critical to protecting communities and ensuring continuity of care, education, and emergency response.

Nation-state actors are expanding operations

While cybercriminals are the biggest cyber threat by volume, nation-state actors still target key industries and regions, expanding their focus on espionage and, in some cases, on financial gain. Geopolitical objectives continue to drive a surge in state-sponsored cyber activity, with a notable expansion in targeting communications, research, and academia.

Key insights:

• China is continuing its broad push across industries to conduct espionage and steal sensitive data. State-affiliated actors are increasingly attacking non-governmental organizations (NGOs) to expand their insights and are using covert networks and vulnerable internet-facing devices to gain entry and avoid detection. They have also become faster at operationalizing newly disclosed vulnerabilities.
• Iran is going after a wider range of targets than ever before, from the Middle East to North America, as part of broadening espionage operations. Recently, three Iranian state-affiliated actors attacked shipping and logistics firms in Europe and the Persian Gulf to gain ongoing access to sensitive commercial data, raising the possibility that Iran may be pre-positioning to have the ability to interfere with commercial shipping operations.
• Russia, while still focused on the war in Ukraine, has expanded its targets. For example, Microsoft has observed Russian state-affiliated actors targeting small businesses in countries supporting Ukraine. In fact, outside of Ukraine, the top ten countries most affected by Russian cyber activity all belong to the North Atlantic Treaty Organization (NATO)—a 25% increase compared to last year. Russian actors may view these smaller companies as possibly less resource-intensive pivot points they can use to access larger organizations. These actors are also increasingly leveraging the cybercriminal ecosystem for their attacks.
• North Korea remains focused on revenue generation and espionage. In a trend that has gained significant attention, thousands of state-affiliated North Korean remote IT workers have applied for jobs with companies around the world, sending their salaries back to the government as remittances. When discovered, some of these workers have turned to extortion as another approach to bringing in money for the regime.

The cyber threats posed by nation-states are becoming more expansive and unpredictable. In addition, the shift by at least some nation-state actors to further leveraging the cybercriminal ecosystem will make attribution even more complicated. This underscores the need for organizations to stay abreast of the threats to their industries and work with both industry peers and governments to confront the threats posed by nation-state actors.

2025 saw an escalation in the use of AI by both attackers and defenders

Over the past year, both attackers and defenders harnessed the power of generative AI. Threat actors are using AI to boost their attacks by automating phishing, scaling social engineering, creating synthetic media, finding vulnerabilities faster, and creating malware that can adapt itself. Nation-state actors, too, have continued to incorporate AI into their cyber influence operations. This activity has picked up in the past six months as actors use the technology to make their efforts more advanced, scalable, and targeted.

For defenders, AI is also proving to be a valuable tool. Microsoft, for example, uses AI to spot threats, close detection gaps, catch phishing attempts, and protect vulnerable users. As both the risks and opportunities of AI rapidly evolve, organizations must prioritize securing their AI tools and training their teams. Everyone—from industry to government—must be proactive to keep pace with increasingly sophisticated attackers and to ensure that defenders keep ahead of adversaries.

Adversaries aren’t breaking in; they’re signing in

Amid the growing sophistication of cyber threats, one statistic stands out: more than 97% of identity attacks are password attacks. In the first half of 2025 alone, identity-based attacks surged by 32%. That means the vast majority of malicious sign-in attempts an organization might receive are via large-scale password guessing attempts. Attackers get usernames and passwords (“credentials”) for these bulk attacks largely from credential leaks.

However, credential leaks aren’t the only place where attackers can obtain credentials. This year, we saw a surge in the use of infostealer malware by cybercriminals. Infostealers can secretly gather credentials and information about your online accounts, like browser session tokens, at scale. Cybercriminals can then buy this stolen information on cybercrime forums, making it easy for anyone to access accounts for purposes such as the delivery of ransomware.

Luckily, the solution to identity compromise is simple. The implementation of phishing-resistant multifactor authentication (MFA) can stop over 99% of this type of attack even if the attacker has the correct username and password combination. To target the malicious supply chain, Microsoft’s Digital Crimes Unit (DCU) is fighting back against the cybercriminal use of infostealers. In May, the DCU disrupted the most popular infostealer—Lumma Stealer—alongside the US Department of Justice and Europol.

Moving forward: Cybersecurity is a shared defensive priority

As threat actors grow more sophisticated, persistent, and opportunistic, organizations must stay vigilant, continually updating their defenses and sharing intelligence. Microsoft remains committed to doing its part to strengthen our products and services via our Secure Future Initiative. We also continue to collaborate with others to track threats, alert targeted customers, and share insights with the broader public when appropriate.

However, security is not only a technical challenge but a governance imperative. Defensive measures alone are not enough to deter nation-state adversaries. Governments must build frameworks that signal credible and proportionate consequences for malicious activity that violates international rules. Encouragingly, governments are increasingly attributing cyberattacks to foreign actors and imposing consequences such as indictments and sanctions. This growing transparency and accountability are important steps toward building collective deterrence. As digital transformation accelerates—amplified by the rise of AI—cyber threats pose risks to economic stability, governance, and personal safety. Addressing these challenges requires not only technical innovation but coordinated societal action.

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