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YouTube warns of AI-generated video of its CEO used in phishing attacks - Related to video, used, microsoft, apps, risk

Microsoft 365 apps will prompt users to back up files in OneDrive

Microsoft 365 apps will prompt users to back up files in OneDrive

Starting mid-March 2025, Microsoft will start prompting customers of its Microsoft 365 apps for Windows to back up their files to OneDrive.

These prompts will be displayed in Word, Excel, and PowerPoint, encouraging clients to enroll in OneDrive Known Folder Move (KFM).

As the enterprise explains in a new Microsoft 365 Message Center entry, they'll first roll out in public preview until early April 2025 and will be made generally available worldwide by early May 2025.

"If your organization still has customers who are not enrolled in KFM, the message ("BACK UP THIS DOCUMENT: Share and work with others in this and other files using OneDrive") will encourage them to do it while using familiar desktop apps," Microsoft revealed.

"After customers select the Open OneDrive button, they can select the folders they want to back up in OneDrive."

OneDrive backup prompts in Microsoft 365 (Microsoft).

​Microsoft says these OneDrive backup prompts will not be displayed for customers whose organizations have blocked OneDrive KFM.

The organization added that the rollout will start automatically and advises admins to notify people of this change. Those who don't want their people to see these alerts can block KFM to ensure the rollout doesn't reach their endpoints.

This is part of a broader effort to increase the number of Microsoft clients using the business's OneDrive personal cloud storage service.

For instance, last week, Microsoft also started testing ad-supported versions of its Office desktop apps that allow Windows customers to create and edit documents.

However, these ad-supported Word, Excel, and PowerPoint apps also have limited functions, including only allowing customers to save their documents to OneDrive.

When asked to provide more details, a Microsoft spokesperson told BleepingComputer that the firm "has been conducting some limited testing," and, currently, has no plans to launch an ad-supported version of Microsoft Office.

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YouTube warns of AI-generated video of its CEO used in phishing attacks

YouTube warns of AI-generated video of its CEO used in phishing attacks

YouTube warns that scammers are using an AI-generated video featuring the enterprise's CEO in phishing attacks to steal creators' credentials.

The attackers are sharing it as a private video with targeted consumers via emails claiming YouTube is changing its monetization policy.

"We're aware that phishers have been sharing private videos to send false videos, including an AI generated video of YouTube’s CEO Neal Mohan announcing changes in monetization," the online video sharing platform warned in a pinned post on its official community website.

"YouTube and its employees will never attempt to contact you or share information through a private video. If a video is shared privately with you claiming to be from YouTube, the video is a phishing scam."

Ironically, the phishing emails also warn that YouTube will never share information or contact customers via private videos, prompting the recipients to findings the channel sending the emails if they look suspicious.

Phishing landing page (BleepingComputer).

The scammers also create a sense of urgency by threatening that their accounts will be restricted for seven days if they fail to confirm compliance with the new rules (these restrictions would allegedly include uploading new videos, editing old videos, receiving monetization, and receiving earned monetization funds).

After entering their credentials, creators are told their "channel is now pending" and to "open the document in the video description for all the necessary information" (even when entering a random email and password).

YouTube consumers have been receiving such emails since late January while the YouTube team says it began investigating this campaign in mid-February.

"Many phishers actively target Creators by trying to find ways to impersonate YouTube by exploiting in-platform attributes to link to malicious content," the firm added. "Please always be aware and make sure not to open untrusted links or files!"

However, many creators have already fallen victim to these attacks, reporting that the scammers hijacked their channels and used them to broadcast live cryptocurrency scam streams.

YouTube provides tips on avoiding and reporting phishing emails in its help center and more details on similar phishing campaigns.

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When you shouldn’t patch: Managing your risk factors

When you shouldn’t patch: Managing your risk factors

So imagine my surprise when attending Qualys QSC24 in San Diego to hear a number of conference speakers say that patching shouldn’t be an automatic reaction. In fact, they say, there are times when it is enhanced not to patch at all.

No, you don’t need to fix everything, says Dilip Bachwani, Chief Technology Officer with Qualys.

“It’s not practical,” Bachwani adds. “Even if there is a vulnerability, it may not apply in your environment.” It could be an application that isn’t an internet-facing asset or something secured through other controls.

The knee-jerk reaction when a new patch is released is to get it installed as quickly as possible to prevent a vulnerability from turning into a cyber incident. However, Bachwani and his Qualys colleagues stress that security teams need to take a step back and evaluate their organization’s risk threshold.

What that evaluation will first discover is a lot of vulnerabilities across their infrastructure. A study by Coalition expects the total number of common vulnerabilities and exposures (CVEs) to increase by 25% in 2024 to 34,888 vulnerabilities, or nearly 3,000 per month.

“New vulnerabilities are ,” Tiago Henriques, Coalition’s Head of Research, says. “Most organizations are experiencing alert fatigue and confusion about what to patch first to limit their overall exposure and risk.”.

With the steady increase in the number of CVEs, it is easy to think that every vulnerability is critical — and if every vulnerability is given an equal risk value, patching becomes overwhelming. The researchers at Qualys recommend prioritizing the risk involved with each vulnerability so that you can determine what should be patched first and what might not need to be patched at all.

How to prioritize your organization’s vulnerabilities.

To prioritize vulnerabilities, it requires knowing all of your assets across the organization and identifying and monitoring the attack surface. However, Qualys research found that only 9% of companies are actively monitoring 100% of their attack surface. Shadow IT, third-party vendors and risks, a digital transformation made too quickly and without an assessment of technologies and assets added and not recognizing emerging threat vectors are just some of the reasons why organizations are unable to properly monitor their attack surface.

Deploying an attack surface management program will identify what technologies are attached to your network and where and what assets need protection. The critical requirements of an attack surface management program are:

Dynamic cybersecurity needs with rapid identification.

Unauthorized software tracking in real-time.

The more familiar you become with the systems accessing your network, the easier it will be to know your corporate assets and prioritize their importance. When levels of risk tolerance are assigned to these assets, it will then be easier to prioritize critical and non-critical vulnerabilities to be patched or, in some cases, not patched.

Patching protocols should be unique to your organization, based on your internal measures of mission-critical and risk tolerance. Whereas one organization may decide that the most critical vulnerabilities must be patched immediately, another may find that seven days is the ultimate time frame to reduce risk for the most critical assets. Patch management programs will tier their assets, beginning with the most critical and can’t afford downtime if something goes wrong and down through secondary tiers with longer wait times.

But there are times when it is smart to slow down or even eliminate the patching process. They include:

An crucial and time-sensitive project is in progress and requires uninterrupted computer time.

Reports of bugs in the patch or it creates compatibility problems with the application in a testing sample.

The vulnerable software is limited in scope within the organization and can be isolated.

Other mitigating controls can be put in place.

The application never uses the functions with the known vulnerability.

The costs of patching outweigh the benefits. If the code is outdated and needs to be rewritten, for example, then it doesn’t make sense to take the time and expense to apply the patch.

With the increase of CVEs and the always looming threat of a cyber incident, many organizations are looking at how to maximize their cybersecurity insurance. With the strict rules and audits in place to be eligible for cybersecurity insurance, is taking an approach to only patch when it is truly necessary going to downgrade your organization with insurance companies?

Bachwani says no. “I actually think a solution like this will enable cyber insurers to be more effective.”.

The way the insurance marketplace works today is that it is less focused on the business’s internal data and more on the organization’s overall cybersecurity posture.

“If I’m able to clearly demonstrate that we internally have really good hygiene, my insurance should be lower,” says Bachwani.

In the end, the decision on whether or not to patch will come down to one singular issue: What is the value to the business by patching or not patching? And that is determined by the organization’s risk tolerance. Recognizing the consequences of downtime or a cyber incident will help prioritize critical vulnerabilities that require time and resources to patch. But also being willing to accept that you can’t patch everything will give your team the space to focus on bigger risk threats.

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Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
8.7%10.5%11.0%12.2%12.9%13.3%13.4%
8.7%10.5%11.0%12.2%12.9%13.3%13.4% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
12.5% 12.9% 13.2% 13.4%
12.5% Q1 12.9% Q2 13.2% Q3 13.4% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Network Security26%10.8%
Cloud Security23%17.6%
Identity Management19%15.3%
Endpoint Security17%13.9%
Other Security Solutions15%12.4%
Network Security26.0%Cloud Security23.0%Identity Management19.0%Endpoint Security17.0%Other Security Solutions15.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Palo Alto Networks14.2%
Cisco Security12.8%
Crowdstrike9.3%
Fortinet7.6%
Microsoft Security7.1%

Future Outlook and Predictions

The Microsoft Apps Will landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:

Year-by-Year Technology Evolution

Based on current trajectory and expert analyses, we can project the following development timeline:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

Innovation Trigger

  • Generative AI for specialized domains
  • Blockchain for supply chain verification

Peak of Inflated Expectations

  • Digital twins for business processes
  • Quantum-resistant cryptography

Trough of Disillusionment

  • Consumer AR/VR applications
  • General-purpose blockchain

Slope of Enlightenment

  • AI-driven analytics
  • Edge computing

Plateau of Productivity

  • Cloud infrastructure
  • Mobile applications

Technology Evolution Timeline

1-2 Years
  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream
3-5 Years
  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging
5+ Years
  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

Expert Perspectives

Leading experts in the cyber security sector provide diverse perspectives on how the landscape will evolve over the coming years:

"Technology transformation will continue to accelerate, creating both challenges and opportunities."

— Industry Expert

"Organizations must balance innovation with practical implementation to achieve meaningful results."

— Technology Analyst

"The most successful adopters will focus on business outcomes rather than technology for its own sake."

— Research Director

Areas of Expert Consensus

  • Acceleration of Innovation: The pace of technological evolution will continue to increase
  • Practical Integration: Focus will shift from proof-of-concept to operational deployment
  • Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
  • Regulatory Influence: Regulatory frameworks will increasingly shape technology development

Short-Term Outlook (1-2 Years)

In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing cyber security challenges:

  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream

These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.

Mid-Term Outlook (3-5 Years)

As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:

  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging

This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.

Long-Term Outlook (5+ Years)

Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:

  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.

Key Risk Factors and Uncertainties

Several critical factors could significantly impact the trajectory of cyber security evolution:

Evolving threat landscape
Skills shortage
Regulatory compliance complexity

Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.

Alternative Future Scenarios

The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:

Optimistic Scenario

Rapid adoption of advanced technologies with significant business impact

Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.

Probability: 25-30%

Base Case Scenario

Measured implementation with incremental improvements

Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.

Probability: 50-60%

Conservative Scenario

Technical and organizational barriers limiting effective adoption

Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.

Probability: 15-20%

Scenario Comparison Matrix

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

Transformational Impact

Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.

The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.

Implementation Challenges

Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.

Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.

Key Innovations to Watch

Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.

Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.

Technical Glossary

Key technical terms and definitions to help understand the technologies discussed in this article.

Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

phishing beginner

algorithm Modern phishing attacks are increasingly sophisticated, often leveraging AI to create convincing spear-phishing campaigns that target specific individuals with personalized content that appears legitimate.
Phishing attack flowAnatomy of a typical phishing attack
Example: Business Email Compromise (BEC) attacks are sophisticated phishing campaigns where attackers impersonate executives to trick employees into transferring funds or sensitive information.

API beginner

interface APIs serve as the connective tissue in modern software architectures, enabling different applications and services to communicate and share data according to defined protocols and data formats.
API concept visualizationHow APIs enable communication between different software systems
Example: Cloud service providers like AWS, Google Cloud, and Azure offer extensive APIs that allow organizations to programmatically provision and manage infrastructure and services.

platform intermediate

platform Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.

malware beginner

encryption Malware can take many forms including viruses, worms, trojans, ransomware, spyware, adware, and rootkits. Modern malware often employs sophisticated evasion techniques to avoid detection by security solutions.
Types of malwareCommon malware types and their characteristics
Example: The Emotet trojan began as banking malware but evolved into a delivery mechanism for other malware types, demonstrating how sophisticated malware can adapt and change functionality over time.

EDR intermediate

API Unlike traditional antivirus, EDR solutions monitor and record system activities and events across endpoints, applying behavioral analysis and threat intelligence to detect sophisticated attacks.