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Google Cloud KMS Adds Quantum-Safe Digital Signatures to Defend Against Future Threats - Related to education, massive, future, ransomware, cloud

Google Cloud KMS Adds Quantum-Safe Digital Signatures to Defend Against Future Threats

Google Cloud KMS Adds Quantum-Safe Digital Signatures to Defend Against Future Threats

Google Cloud has revealed quantum-safe digital signatures in Google Cloud Key Management Service (Cloud KMS) for software-based keys as a way to bulletproof encryption systems against the threat posed by cryptographically-relevant quantum computers.

The feature, currently in preview, coexists with the National Institute of Standards and Technology's (NIST) post-quantum cryptography (PQC) standards, the final versions of which were formalized in August 2024.

"Our Cloud KMS PQC roadmap includes support for the NIST post-quantum cryptography standards (FIPS 203, FIPS 204, FIPS 205, and future standards), in both software (Cloud KMS) and hardware (Cloud HSM)," the firm's cloud division noted.

"This can help end-people perform quantum-safe key import and key exchange, encryption and decryption operations, and digital signature creation."

The tech giant noted its underlying software implementations of these standards – FIPS 203 (aka ML-KEM), FIPS 204 (aka CRYSTALS-Dilithium or ML-DSA), and FIPS 205 (aka Sphincs+ or SLH-DSA) – would be available as open-source software.

Furthermore, it's working with Hardware Security Module (HSM) vendors and Google Cloud External Key Manager (EKM) partners to enable quantum-safe cryptography across the platform.

By adopting PQC early on, the idea is to secure systems against a threat called Harvest Now, Decrypt Later (HNDL) that involves threat actors harvesting encrypted sensitive data today with the goal of decrypting them at some point in the future when a quantum computer powerful enough to break existing key exchange protocols and algorithms become a reality.

"While that future may be years away, those deploying long-lived roots-of-trust or signing firmware for devices managing critical infrastructure should consider mitigation options against this threat vector now," Google Cloud's Jennifer Fernick and Andrew Foster introduced.

"The sooner we're able to secure these signatures, the more resilient the digital world's foundation of trust becomes."

Quantum-safe digital signatures in Cloud KMS is available in preview for both ML-DSA-65 (FIPS 204) and SLH-DSA-SHA2-128S (FIPS 205), with API support for hybridization schemes planned for future rollout if the cryptographic community arrives at a broader consensus.

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Massive Sicherheitslücken bei Gebäude-Zugangssystemen entdeckt

Massive Sicherheitslücken bei Gebäude-Zugangssystemen entdeckt

Sie sollen kontrollieren, wer in ein Gebäude hineinkommt – doch allzu oft sind entsprechende Zugangssysteme ein Einfallstor für Cyberkriminelle. Zu diesem Schluss kommen Forscher der IT-Sicherheitsberatung Modat. Das Ausmaß ist demnach enorm.

Das niederländische Unternehmen veröffentlichte eine Studie, bei der rund [website] falsch konfigurierte Zugangssysteme, beziehungsweise Access Management Systeme (AMS) auffielen. Sie verteilen sich über verschiedene Weltregionen und Sektoren wie Baugewerbe, Gesundheitswesen, Bildungswesen, Fertigung, Ölindustrie und staatliche Einrichtungen. Die Autoren sprechen von einem weltweiten Problem.

AMS authentifizieren ihre Benutzer mit Methoden wie Passwörtern, biometrischen Merkmalen oder Multi-Faktor-Authentifizierung und autorisieren ihre Zugriffsrechte anhand festgelegter Richtlinien. Wenn sie versagen, bringt das zwei zentrale Probleme. Zum einen können sich Unbefugte Zugang zu den Gebäuden verschaffen. Zum anderen bieten die fehlerhaften Systeme unerlaubten Zugriff auf allerlei sensible Daten.

Und das ist nicht zu unterschätzen: Mitarbeiterfotos, vollständige Namen, Identifikationsnummern, Details zu Zugangskarten, biometrische Daten, Kfz-Kennzeichen und in einigen Fällen sogar vollständige Arbeitspläne und Zugangsdaten zu Einrichtungen waren laut den Forschern in diversen Fällen ungeschützt. Besonders brisant seien die biometrischen Daten, die bei einigen modernen AMS zugänglich waren. All das ist eine Angriffsfläche für Phishing, Identitätsdiebstahl, Social Engineering und andere Betrugsformen, um sensible Daten abzuschöpfen.

Die meisten Fälle konzentrieren sich auf Europa, die USA, den Nahen Osten und Nordafrika. Die Länder mit den meisten fehlerhaften Geräten waren demnach Italien ([website], Mexiko ([website] und Vietnam ([website] Deutschland wird in der Studie nicht explizit erwähnt und taucht in der Top-10 nicht auf, auf Platz 10 liegt Inden mit etwa [website] Fällen. Die Studie erwähnt nicht, welche Zugangssysteme welcher Hersteller betroffen sind.

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Reducing ransomware recovery costs in education

Reducing ransomware recovery costs in education

2024 continued the trend of ransomware attacks in the education sector making headlines. The year opened with Freehold Township School District in New Jersey canceling classes due to a ransomware attack. Students at New Mexico Highlands University missed classes for several days while employees experienced disruption of their paychecks after a ransomware attack. The attack on the Alabama Department of Education served as a reminder that all school systems are vulnerable.

Ransomware attacks in education decreasing.

The year closes with some positive news about ransomware in the education sector. Sophos State of Ransomware in Education 2024 found that ransomware attacks on educational institutions decreased in 2024. Attacks on higher-education institutions dropped from 79% reporting attacks in 2023 to 66% in 2024. Lower education saw a similar decrease, from 80% in 2023 to 63% in 2024. However, the attack rates for both are still higher than the global cross-sector average of 59%.

Not surprisingly, a recent study also found that students are impacted by ransomware attacks on the education sector. A study from Action1 found that the majority (64%) of education IT workers research that ransomware impacts education quality. Researchers found the reasons for the attacks are multifold, including that 44% devote only 10% of their IT budget to cybersecurity and the majority of schools (78%) do not employ cybersecurity specialists.

In an NPR article, Noelle Ellerson Ng with the School Superintendents Association expressed that the reason for targeting the education sector is that schools are often low-hanging fruit. Additionally, she points to the fact that school systems, which collect a lot of valuable data from both students and employees, often are the largest employers in a community.

“That makes it very, very ripe,” says Ng. “And then you layer on the fact that [the data] is so sensitive and so longitudinal and so personal, and there’s a huge vulnerability.”.

Reducing cyber risks in the education sector.

Even with the decline, schools should continue to focus on reducing their vulnerabilities.

Here are some ways schools can reduce ransomware risk:

Install antivirus and anti-malware software on all devices. Be sure to also include tablets and phones. Make sure that updates and patches are installed on a timely basis.

By filtering out potentially malicious links and files, you can reduce the chance of students or employees falling victim to a phishing scheme. Use multi-factor authentication (MFA). Because ransomware attacks can start with unauthorized access, educational organizations should take extra steps to ensure that every user who logs in is who they claim to be. With MFA, people must use email, text or token in addition to a password, adding an extra layer of security.

While the decrease in attacks was positive, Sophos’ investigation found a troubling trend — the recovery costs have more than doubled for ransomware attacks in education. Lower-education organizations reported a mean cost of $[website] million to recover from a ransomware attack in 2024, compared to $[website] million. Researchers found the increase even higher in higher education, more than four times higher from 2023 to 2024 ($[website] million to $[website] million).

Back up your data. In addition to backing up data in real-time, educational institutions should take precautions to secure the backups, such as by using air-gapped backups as well as immutable backups that cannot be erased. Sophos found that costs for lower-education institutions whose backups were compromised were five times higher ($3 million versus $562,500) than those who had a backup to revert to.

In addition to backing up data in real-time, educational institutions should take precautions to secure the backups, such as by using air-gapped backups as well as immutable backups that cannot be erased. Sophos found that costs for lower-education institutions whose backups were compromised were five times higher ($3 million versus $562,500) than those who had a backup to revert to. Segment the network. When a ransomware attack happens on a segmented network, cyber criminals can encrypt only the portion of the network that they accessed. By reducing the amount of data breached and the systems impacted, schools can significantly reduce recovery time and costs.

When a ransomware attack happens on a segmented network, cyber criminals can encrypt only the portion of the network that they accessed. By reducing the amount of data breached and the systems impacted, schools can significantly reduce recovery time and costs. Create an incident response plan. Often, the recovery is extended due to schools not containing the ransomware quickly enough. Additionally, business disruption also adds to the recovery time. With an incident response plan, employees know exactly what to do when a ransomware attack occurs by including the four fundamentals of a response plan — planning, detection, recovery and post-incident actions.

Propensity for paying ransom has increased.

Recovery costs are also increasing due to the changes in the ransom payment patterns and amounts. When an educational organization pays the ransom to gain access to their data, that exponentially increases the recovery costs.

The Sophos findings found that the decision to pay the ransom has increased in both higher and lower education. In 2023, 56% of educational organizations attacked by ransomware paid the ransom, compared with 67% in 2024. The number of higher-education institutions paying the ransom also increased from 47% to 62%.

Additionally, the amount of the ransom has increased, which also adds to the rising recovery costs. The average ransom in lower education was $[website] million, with 44% of demands of more than $5 million. Higher education demands also increased to $[website] million. Ransoms in critical infrastructure sectors, such as education, tend to be higher due to the urgency of restoring operations as well as the sensitive nature of the data. Additionally, cyber criminals increasingly use double extortion, demanding a ransom to unencrypt the data and then a second ransom to not make the data public, which increases recovery costs.

The future of ransomware attacks in education.

While the decrease in attacks is positive, educational organizations must pay attention to the rising recovery costs. Because every dollar spent in education towards recovering from an attack means money is not available for learning, the costs of ransomware recovery are even more impactful than other sectors. By proactively taking steps to both reduce risks and reduce recovery costs, educational organizations can keep their focus on what matters most — educating students.

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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 Google Cloud Adds 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:

encryption intermediate

algorithm Modern encryption uses complex mathematical algorithms to convert readable data into encoded formats that can only be accessed with the correct decryption keys, forming the foundation of data security.
Encryption process diagramBasic encryption process showing plaintext conversion to ciphertext via encryption key

phishing beginner

interface 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.

platform intermediate

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

SOC intermediate

encryption

ransomware beginner

API Ransomware typically encrypts victim data using strong cryptographic algorithms, making recovery impossible without the decryption key. Advanced variants now also exfiltrate data before encryption, enabling double-extortion tactics.
Example: The REvil ransomware group leveraged a supply chain attack against Kaseya VSA to deploy ransomware to thousands of organizations simultaneously, demanding a $70 million ransom payment.

algorithm intermediate

cloud computing

EDR intermediate

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

malware beginner

scalability 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.

API beginner

DevOps 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.