Microsoft: attackers exploit AI more than defenders
Microsoft has revealed that hackers are exploiting artificial intelligence faster than security teams, accelerating the discovery of vulnerabilities, malware development, and post-compromise activities. This technological gap is detailed in the 2026 Digital Defense Report, which analyzes the impact of AI on cybersecurity operations.
Quick Response
Attackers are exploiting AI to:
- Discover and exploit vulnerabilities faster than defenders
- Develop customized malware and accelerate post-compromise activities
- Automate parts of the attack chain with limited human interaction
- Reduce the time between the discovery of a vulnerability and its weaponization to less than 24 hours
AI reduces costs and the need for specialized skills
AI is lowering the costs and the need for advanced skills to discover and exploit vulnerabilities. This is creating a period of several years in which the number of known but unpatched vulnerabilities will increase significantly. Well-prepared and funded adversaries could accumulate a large number of zero-days.
Vulnerabilities and delayed patching times
Microsoft emphasizes that remediation is inherently slower than discovery, especially since many systems lack robust unit and integration testing. This means organizations will have less and less time to patch exposed systems before they are exploited.
Customized malware and accelerated post-compromise activities
Attackers are using AI to generate customized malware and accelerate post-compromise activities such as data exfiltration, secret discovery, and lateral movement, reducing times from days to minutes.
Automation of attack chains
AI allows attackers to automate larger portions of attack chains with limited human interaction. This is democratizing access to capabilities previously reserved for more experienced hackers.
State actors exploit AI for real operations
State actors have already begun using AI in real operations. Chinese hackers use it for vulnerability research, while Russians use "vibe coding" and AI-generated tools to enhance their attacks.
North Korea: AI for social engineering and malware
North Korean IT workers use AI for identity development, social engineering, and maintaining access to organizations. Other North Korean groups use it to create malware and manage attack infrastructures.
Konni and advanced phishing operations
The North Korean hacker group Konni has used AI-generated PowerShell malware to target developers and blockchain engineers. These attacks exploit AI to create more convincing and fraudulent phishing.
Operations of fake IT workers with deepfakes
BleepingComputer reported North Korean operations in which hackers posed as IT workers, using AI-generated deepfake videos to create convincing identities and obtain jobs at Western companies.
Limited autonomy in real attacks
Microsoft warns that, although AI is accelerating the creation and execution of attacks, most real campaigns still require human intervention for target selection and management of the most complex parts of the attack.
Impact on corporate security strategies
This technological gap requires organizations to review their incident response strategies and consider implementing MDR services to address the increased speed of attacks.
The importance of cyber insurance
Given the increased risk, companies should consider purchasing cyber risk policies to cover potential damages resulting from AI-accelerated attacks.
The need for more frequent security audits
Organizations should increase the frequency of security audits to identify and correct vulnerabilities before they can be exploited by attackers.
The impact on NIS2 and DORA compliance
This scenario requires greater attention to NIS2 compliance and digital operational resilience according to the DORA regulation, as organizations must be able to respond quickly to ever-faster threats.
The importance of a SOC as a Service
Given the increased complexity and speed of attacks, companies may benefit from implementing a managed Security Operations Center to monitor and respond to threats in real time.
The adoption of zero trust architectures
Organizations should consider adopting zero trust architectures to limit access to sensitive data and reduce the potential impact of attacks.
The cybersecurity solutions market under pressure
The acceleration of AI-driven threats is creating a technological gap that concerns market analysts. Gartner predicts that by 2025, 30% of large companies will invest in AI-native cybersecurity solutions, with a 25% increase in investments compared to 2023. The global market for MDR services is expected to grow by 18% annually, reaching $12 billion by 2026, according to a MarketsandMarkets report.
The impact on cyber insurance policies
The increase in the frequency and severity of attacks is driving up the premiums of cyber insurance. Lloyd's of London recorded a 20% increase in policy costs in the first half of 2024, with increasingly stringent clauses to cover AI-supported attacks. Companies with advanced ransomware protection see more advantageous premiums, but only 11% of Italian SMEs have activated adequate coverage.
The importance of continuous training
The skills gap is widening: while AI automates processes, personnel capable of interpreting data are needed. ISO 27001 certifications have seen a 40% increase in demand, but only 15% of Italian IT professionals hold updated credentials. The demand for specialized courses in AI applied to security has grown by 60% in 2024, according to data from the Politecnico di Milano Observatory.
The adoption of emerging technologies
Organizations are exploring technologies such as CSPM and advanced IAM to mitigate risks. 22% of Fortune 500 companies have already implemented zero trust architecture solutions, with a 35% savings in breach remediation costs. However, only 7% of European SMEs have adopted similar measures.
The impact on the value chain
Supply chains are becoming the main vector of attack. 45% of ransomware incidents in 2023 exploited vulnerabilities in third-party suppliers, according to an ENISA report. Companies are investing in corporate DLP and extended incident response, with a 50% increase in investments in advanced SIEM.
The role of regulation
The NIS2 directive and the DORA regulation are imposing new obligations. Companies must demonstrate quarterly security audits and certified disaster recovery plans. Penalties for non-compliance can reach up to 2% of global turnover, according to new EU regulations.
The challenges for small and medium enterprises
60% of Italian SMEs do not have a structured breach remediation plan. The average cost of a ransomware attack for companies with fewer than 500 employees is €120,000, with recovery times exceeding 21 days. SOC as a Service solutions could reduce these costs by 40%, but only 12% of SMEs have adopted managed services.
The evolution of the MDR market
The global market for MDR services is expected to grow by 25% annually until 2027. Companies are shifting 30% of their security budget towards managed solutions, with an estimated return on investment of 180% in three years. Automated penetration testing platforms are reducing costs by 20%, but only 5% of Italian companies use them regularly.
Future prospects
By 2028, it is predicted that 80% of organizations will adopt zero trust solutions to mitigate AI-driven risks. Data Loss Prevention and identity access management technologies will be fundamental for operational resilience. Companies that invest in accelerated incident response will see a 60% reduction in recovery times.
The technological asymmetry between attackers and defenders requires a strategic approach based on advanced solutions, continuous training, and regulatory compliance. Organizations that adopt SOC as a Service and MDR services will be able to significantly reduce risks, while the adoption of zero trust architectures and corporate DLP will be crucial for the protection of sensitive data. The evolution of the cyber insurance market reflects the urgency of addressing this challenge with adequate tools.
Editorial Note and Disclaimer
The guides and content published on GoYou are the result of independent research and analysis activities, for informational, educational, and in-depth purposes.
GoYou does not constitute a journalistic publication or an editorial product pursuant to Law No. 62/2001 and does not provide real-time information.
The GoYou project does not provide professional, technical, legal, or financial advice and disclaims any liability for the improper use of the information published.
In the Crypto sector, every investment involves risks: readers are invited to always inform themselves independently before making any decision.