Discover how cybersecurity aligns people, technology, and processes to defend every enterprise edge.
Cybersecurity definition and why it matters
Cybersecurity integrates people, processes, and technology to protect enterprise environments across cloud, endpoint, network, and supply chain layers.
A modern security architecture spans multiple domains, including network, cloud, endpoint, application, identity, and AI security, each addressing distinct categories of attack vectors.
Artificial intelligence is reshaping the threat landscape on both sides. Attackers use it to scale phishing, deepfakes, and automated exploits. Defenders use it to enhance detection and accelerate response.
Cyberattacks result in multi-dimensional impact, including operational disruption, financial loss, regulatory penalties, reputational damage, and erosion of customer trust.
Effective risk reduction requires a layered approach. This combines zero trust principles, multi-factor authentication, and continuous monitoring. Workforce training and a unified security platform enforce consistent policy across all environments.
Cybersecurity is the practice of protecting systems, networks, applications, and data from digital attacks and unauthorized access. It encompasses people, processes, and technology working together. No single tool or team can secure an organization alone.
Today, businesses operate across cloud platforms, remote endpoints, and third-party supply chains. Each layer introduces new risks. Attackers actively look for gaps in these environments. A single weakness in software, access controls, or human behavior can lead to a serious breach. As digital infrastructure grows, so does the cost of leaving it unprotected. This makes understanding the importance of cybersecurity a business-critical priority.
Why is cybersecurity important?
In 2026, cybersecurity is no longer just an IT function. It is a core business priority. The threat landscape has shifted significantly. Attackers are faster, more automated, and more targeted than ever before.
AI-powered attacks , ransomware, and identity-based threats now put every layer of an organization at risk. Cloud environments, remote workforces, and third-party supply chains have widened the attack surface considerably. A single gap in any of these areas can lead to serious operational and financial damage.
In 2025, CISA blocked 2.62 billion malicious connections across federal civilian networks and 371 million within critical infrastructure environments, while triaging over 30,000 incidents through its 24/7 Operations Center.
The cost of inaction is too high. Breaches today affect customer trust, regulatory compliance, and business continuity all at once. Organizations that treat cybersecurity as reactive are already exposed. A proactive, layered defense strategy is the only way to stay ahead of modern threats.
Cybersecurity challenges
AI-driven and deepfake-enabled attacks : Generative AI is enabling attackers to scale highly convincing phishing and impersonation campaigns. Gartner reports that 62% of organizations have experienced deepfake attacks, making social engineering harder to detect and defend against.
AI-driven and deepfake-enabled attacks : Generative AI is enabling attackers to scale highly convincing phishing and impersonation campaigns. Gartner reports that 62% of organizations have experienced deepfake attacks, making social engineering harder to detect and defend against.
Identity-based attacks and weak authentication : Identity is now the primary attack vector in modern environments. IBM reports a 71% increase in attacks using valid credentials, exposing gaps in authentication, access control, and identity governance.
Identity-based attacks and weak authentication : Identity is now the primary attack vector in modern environments. IBM reports a 71% increase in attacks using valid credentials, exposing gaps in authentication, access control, and identity governance.
Security fragmentation and lack of visibility : Enterprises operate across hybrid environments with multiple disconnected tools. This creates blind spots and inconsistent policy enforcement. Security teams struggle to correlate signals across systems, slowing detection and response.
Security fragmentation and lack of visibility : Enterprises operate across hybrid environments with multiple disconnected tools. This creates blind spots and inconsistent policy enforcement. Security teams struggle to correlate signals across systems, slowing detection and response.
Expanding attack surface across cloud and third parties : Cloud adoption, remote work, and third-party integrations continue to grow the attack surface. The World Economic Forum reports that 65% of organizations cite supply chain risk as a top cyber resilience challenge. This highlights limited visibility and control across third-party environments.
How cybersecurity works and what it defends against
The “threat landscape” refers to the totality of potential cyber threats in any given context. That last part is important, as what’s considered a significant risk to one company may not necessarily be one to another.
Monitoring and analyzing the threat landscape is vital to achieving effective protection. Knowing your enemy allows you to better plan against their tactics. In cybersecurity, these enemies are called bad actors - people who try to exploit a vulnerability to steal, sabotage, or stop organizations from accessing information they’re authorized to use.
An attack vector is a mechanism or method the bad actor uses to illegally access or inhibit a network, system, or facility. Attack vectors are grouped into three categories: electronic social engineering, physical social engineering, and technical vulnerabilities (e.g., computer misconfigurations). When threat actors exploit an attack vector, the ensuing chain of events is called the pathway (or attack path).
How does cybersecurity work?
Cybersecurity operates through the coordinated alignment of people, processes, and technology across every layer of an organization. Security controls are applied at the network, endpoint, application, and data levels to prevent unauthorized access. Threats are continuously monitored and analyzed in real time to enable rapid detection. Defined incident response procedures ensure breaches are contained and remediated with minimal operational disruption. No single solution provides complete protection. A multi-layered, integrated defense strategy is essential for enterprise resilience.
Cyber threat examples
Although the landscape is always changing, most incidents fall into a few common categories:
Insider threats are security risks that originate from within the organization. They involve employees, contractors, or partners with legitimate access. These threats are harder to detect because trusted users already operate inside the environment. They can be malicious or unintentional, caused by misuse of access or human error.
Malware is any software designed to damage, disrupt, or gain unauthorized access to computer systems.
Malware is any software designed to damage, disrupt, or gain unauthorized access to computer systems.
Viruses : Attach to legitimate files and spread when executed, corrupting data or disrupting systems.
Viruses : Attach to legitimate files and spread when executed, corrupting data or disrupting systems.
Trojans : Disguised as trusted software, they create backdoors for unauthorized access and further attacks.
Trojans : Disguised as trusted software, they create backdoors for unauthorized access and further attacks.
Worms : Self-replicate across networks without user interaction, exploiting system vulnerabilities at scale.
Worms : Self-replicate across networks without user interaction, exploiting system vulnerabilities at scale.
Botnets : Networks of compromised devices controlled remotely, often used to launch distributed denial-of-service (DDoS) attacks that overwhelm systems with traffic.
Botnets : Networks of compromised devices controlled remotely, often used to launch distributed denial-of-service (DDoS) attacks that overwhelm systems with traffic.
Ransomware : Encrypts data or locks systems, demanding payment for restoration; often delivered through phishing or exploit kits.
Ransomware : Encrypts data or locks systems, demanding payment for restoration; often delivered through phishing or exploit kits.
Infostealers : Designed to extract sensitive data such as credentials, cookies, and financial information from infected systems.
Infostealers : Designed to extract sensitive data such as credentials, cookies, and financial information from infected systems.
Fileless malware : Operates in memory without writing files to disk, helping it evade traditional antivirus detection.
Fileless malware : Operates in memory without writing files to disk, helping it evade traditional antivirus detection.
Ransomware-as-a-Service (RaaS) : A model where attackers lease ransomware tools, lowering the barrier and enabling low-skilled operators to launch attacks.
Social engineering is a cyberattack method that manipulates human psychology rather than exploiting software vulnerabilities.
Phishing : The primary social engineering vector in enterprise environments. Attackers use spoofed domains, malicious links, and weaponized attachments to harvest credentials or deliver malware.
Business email compromise (BEC) : Attackers impersonate executives or vendors using compromised accounts or lookalike domains to initiate fraudulent payments or sensitive data transfers.
AI-generated phishing : Generative AI enables highly targeted campaigns with personalized content and realistic tone, increasing success rates and evasion.
Fraud : Attackers exploit trust relationships to trigger unauthorized financial transactions or disclosure of sensitive information.
Identity-based attacks
Identity-based attacks exploit stolen, weak, or compromised credentials to gain unauthorized access to systems and data. They are a primary initial access vector and account for a significant of breaches. Attackers use valid credentials to bypass controls and move laterally across systems. Breaches involving stolen credentials often take the longest to detect and contain. Attackers may also intercept credentials in transit using man-in-the-middle (MitM) techniques .
Credential stuffing : Automated attacks that test leaked username-password pairs across multiple systems.
Credential stuffing : Automated attacks that test leaked username-password pairs across multiple systems.
Pass-the-hash: Attackers reuse hashed credentials to authenticate without needing plaintext passwords.
Pass-the-hash: Attackers reuse hashed credentials to authenticate without needing plaintext passwords.
Session hijacking: Attackers steal active session tokens to impersonate users without reauthentication.
Session hijacking: Attackers steal active session tokens to impersonate users without reauthentication.
Strong defenses require identity and access management (IAM) and zero trust network access (ZTNA) .
Software vulnerabilities and supply chain exploits
Software vulnerabilities are security flaws in code, configurations, or third-party components that attackers exploit to gain unauthorized access. Modern attack vectors increasingly stem from cloud misconfigurations and insecure APIs, often exposing systems without authentication. These gaps expand the attack surface and increase risk.
Cloud misconfigurations and insecure APIs: Misconfigured storage, identity controls, or exposed APIs create direct entry points for attackers.
Cloud misconfigurations and insecure APIs: Misconfigured storage, identity controls, or exposed APIs create direct entry points for attackers.
Zero-day vulnerabilities : Unknown flaws exploited before patches are available, making them difficult to detect and prevent.
Zero-day vulnerabilities : Unknown flaws exploited before patches are available, making them difficult to detect and prevent.
Supply chain attacks: Attackers compromise trusted vendors or update mechanisms to distribute malicious code at scale, as seen in SolarWinds cyber attack-type incidents .
Supply chain attacks: Attackers compromise trusted vendors or update mechanisms to distribute malicious code at scale, as seen in SolarWinds cyber attack-type incidents .
SQL injection : A traditional attack that exploits database queries, now less dominant but still relevant.
AI-powered cyber threats
Artificial intelligence is accelerating the speed, scale, and sophistication of cyberattacks. These threats adapt faster than traditional defenses. Many organizations lack adequate AI access controls and governance. This creates a growing defensive gap.
Automated phishing at scale : AI generates highly personalized and grammatically accurate phishing messages, increasing success rates.
Polymorphic malware : Self-mutating code changes its signature to evade traditional detection systems.
AI-driven reconnaissance : Attackers automate scanning and mapping of the attack surface to identify vulnerabilities faster.
Deepfake-enabled fraud : Synthetic voice and video impersonate executives in real time to authorize fraudulent actions.
Cybersecurity risk statistics: Hidden costs and organizational impact
Cybersecurity risks can disrupt an organization’s operations, impacting productivity and efficiency. However, operational downtime is just a surface-level consequence. The real impact goes much deeper. It begins with hampered operations and leads to financial losses. Moreover, hackers can misuse stolen data, resulting in regulatory fines, penalties, and damage to the organization’s reputation. This, in turn, can cause loss of customer trust and hinder long-term growth.
Here are a few key statistics to help understand the real-time impacts.
Financial & operational consequences of cyberattacks
Cyberattacks carry consequences that extend well beyond immediate recovery costs. According to the FBI's 2024 Internet Crime Report , reported losses reached $16.6 billion in 2024, a 33% increase from the prior year. Actual losses are considerably higher, as operational disruption, regulatory penalties, and reputational damage add up long after an attack is contained. Cybersecurity Ventures projects cybercrime will cost the world $12.2 trillion annually by 2031.
Reputational & compliance risks
AI is amplifying attack vectors that directly threaten organizational reputation and regulatory standing. Phishing campaigns are now more convincing and harder to detect, increasing the likelihood of breaches that trigger public disclosure obligations. Deepfake-enabled impersonation is exposing organizations to fraud losses and erosion of stakeholder trust. According to Cyble's Executive Threat Monitoring Report , AI-powered deepfakes were involved in over 30% of high-impact corporate impersonation attacks in 2025. When AI adoption outpaces governance, sensitive data becomes exposed without audit trails. The resulting regulatory penalties, legal liability, and reputational damage compound well beyond the initial incident.
Cybersecurity risks for SMBs vs enterprises
While large enterprises often are targeted, SMBs are equally at risk, often with fewer resources to recover. Today, hackers target smaller organizations with lower cybersecurity maturity, making cybersecurity risk management essential to reduce disruption and maintain business continuity.
According to Mastercard’s global SMB cybersecurity study, nearly one in five SMBs that suffered a cyberattack filed for bankruptcy or had to close. This reflects the growing focus of cybercriminals on smaller businesses.
Cyberattacks affect employees, not just systems. Recovery places immediate strain on teams through forced downtime and sustained operational pressure. According to the SANS 2026 Cybersecurity Workforce Report , 74% of cyber teams report AI is actively changing team size and role structures. Entry-level roles are among the most disrupted.
Third-party and supply chain risks
Supply chain attacks are no longer isolated incidents. They cascade across entire vendor ecosystems. According to the Black Kite 2026 Third-Party Breach Report , 2025 saw 136 major third-party breaches affecting 719 named companies and an estimated 26,000 additional downstream victims. For every single vendor breached, an average of 5.28 downstream companies were compromised, the highest level on record.
Cyber-enabled fraud has overtaken ransomware as the top cybersecurity concern for CEOs worldwide. The WEF Global Cybersecurity Outlook 2026 reports that 77% of respondents saw an increase in cyber-enabled fraud and phishing, while 73% were personally affected. Phishing, payment fraud, and identity theft are the most common attack types. Cyber-enabled fraud now costs the global economy an estimated $1.1 trillion annually.
Cybercrime costs to exceed $23T by 2027 — Fortinet's 2026 report reveals what's driving the surge.
Read Fortinet's 2026 Cyberthreat Predictions Report .
9 Building blocks of a comprehensive cybersecurity strategy
Cybersecurity isn’t a singular solution but rather a convergence of multiple approaches. They work together in concert to protect users, systems, networks, and data from all angles, minimizing risk exposure.
Network security safeguards communication infrastructure, including devices, hardware, software, and communication protocols. It protects data integrity , confidentiality, and availability as information travels over a network and between network-accessible assets, such as a computer and an application server.
Network security also encompasses a broad collection of technologies, policies, people, and procedures. These focus primarily on preventing known threats from infiltrating the communication infrastructure.
For example, firewalls filter incoming and outgoing traffic, acting as a first line of defense by identifying familiar attack types, suspicious activity, or unauthorized access attempts based on pre-defined rules. The idea is that firewalls already know what to expect and have the capability to block these threats before they can cause harm.
However, network security tools must also include an element of detection. Firewalls and other network security solutions must be able to identify unfamiliar or new threats and, through integration with other systems, respond appropriately to mitigate the risk. Within this context, understanding the distinction between network security vs cyber security provides clarity on where each discipline contributes to an organization’s broader security strategy. To strengthen this posture, organizations also need continuous visibility into emerging network security threats and vulnerabilities, ensuring protections evolve alongside new attack techniques.
2. Information security
Information security, or InfoSec , is the practice of protecting information. It refers to the tools and processes for preventing, detecting, and remediating threats to sensitive information, whether digitized or not.
InfoSec is closely related to data security - a subset that specifically protects digitized data stored in systems and databases or transmitted across networks. Both disciplines three primary objectives:
Confidentiality: Ensuring confidential information remains a secret.
Integrity: Protecting information from being altered, manipulated, or deleted.
Availability: Making information readily accessible to those who need it.
Therefore, information and data security solutions safeguard against unauthorized access, modification, and disruption. A key aspect of both disciplines is the need to scrutinize information, allowing organizations to classify it by criticality and adjust policies accordingly.
For example, data loss prevention (DLP) tools automatically discover and classify data as it’s created. They also monitor, detect, and prevent unauthorized data sharing or extraction, ensuring valuable information remains secure within the organization.
Cloud security refers to the technologies, policies, and procedures that protect data, applications, and services hosted in private and public cloud environments. It ensures sensitive information is safe from data breaches and other vulnerabilities, whether stored in public, private, or hybrid clouds . Cloud security solutions are often versions of on-premises solutions that are specifically for the cloud. As such, cloud security can be a seamless extension of an organization's network security.
One of cloud computing’s biggest security challenges is providing users with safe, frictionless access to their most essential applications. Cloud-based services are available off-premises, but the devices used to reach them are typically unprotected.
Organizations often mitigate security risks using identity and access management (IAM), a key strategy that ensures only authorized users can access specific resources. IAM solutions are not limited to cloud environments; they are integral to network security as well. These technologies include robust authentication methods, multi-factor authentication (MFA) , and other access controls, all of which help protect sensitive data and systems across both on-premises and cloud-based infrastructures.
Endpoint security focuses on protecting the devices that serve as access points to an organization’s network, such as laptops, desktops, smartphones, and tablets. These devices, or endpoints, expand the attack surface, providing potential entry points for cybercriminals to exploit vulnerabilities and infiltrate the broader infrastructure.
To reduce risk, organizations must apply the right security solutions to each endpoint, ensuring protection is tailored to the specific device and its role in the network. For example, laptops used by remote workers may require antivirus software and multi-factor authentication to prevent malware attacks or unauthorized access.
A related subset of endpoint security is mobile security , which specifically addresses the vulnerabilities of mobile devices. As employees increasingly use smartphones and tablets for work, securing these endpoints becomes critical to protecting the entire network. Security solutions, such as mobile device management, help organizations manage and secure these devices, preventing them from becoming weak links in the cybersecurity chain.
5. Application security
Application security refers to the technologies, policies, and procedures at the application level that prevent cybercriminals from exploiting application vulnerabilities. It involves a combination of mitigation strategies during application development and after deployment.
For instance, a web application firewall (WAF) monitors and filters traffic between applications and the outside world, blocking malicious activity like code injections or cross-site scripting attacks . With robust application security, organizations can ensure their software remains protected against threats that target the app and the sensitive data it processes and stores.
6. Zero trust security
Zero trust is a modern cybersecurity model that assumes no user or system, whether inside or outside the network, is automatically trustworthy by default. Instead, organizations continuously verify access to data and resources through strict authentication protocols.
Unlike traditional security models, which take a “castle-and-moat” approach, zero trust monitors more than just the perimeter. It enforces granular security controls across all endpoints, applications, and users, preventing unauthorized lateral movement. In other words, users can’t freely roam inside the network without reconfirming their identity whenever they request access to a particular resource.
7. Operational technology (OT) security
OT security , which uses the same solutions and techniques as IT environments, protects the safety and reliability of system technologies that control physical processes in a wide range of industries. This includes critical infrastructure like manufacturing systems, energy grids, and transportation networks, where a security breach could result in significant damage, but has come to include banking systems and others as well.
Traditionally, security in these environments wasn’t necessary. Most operational technologies weren’t connected to the outside world, so they didn’t require protection. Now, as IT and OT converge, they’re increasingly exposed to malicious activity.
IoT security also focuses on protecting connected devices — but on a broader scale. IoT devices range from sensors in industrial equipment to smart thermostats in homes. Because they’re web-enabled, these access points expand the attack surface. Plus, since they often have limited security capabilities, they’re vulnerable entryways for cybercriminals to exploit.
To address this, IoT security solutions focus on device authentication, encryption , and network segmentation , ensuring secure communication and preventing unauthorized access. Organizations must monitor these devices closely and implement strong access controls to minimize risks.
The inclusion of IoT security into the traditional industrial world of OT has introduced a new concept: cyber-physical systems and their security.
8. Identity security and access management
Identity security protects digital identities and the systems that manage them, ensuring only verified users and devices can access enterprise resources. Identity-based attacks are now among the most common entry points into corporate networks, making this a foundational cybersecurity domain. Core practices include identity and access management (IAM), multi-factor authentication (MFA), privileged access management (PAM) , and continuous identity verification to enforce least-privilege access across all users and systems.
As enterprises shift to cloud and remote work environments, the traditional network perimeter is no longer sufficient. Identity becomes the new perimeter. Organizations must implement adaptive, real-time access controls and session-level verification to prevent unauthorized lateral movement across critical infrastructure.
AI security is an emerging cybersecurity domain focused on protecting AI systems, models, and data from adversarial attacks, misuse, and unauthorized access. It also covers how AI strengthens security operations. Key risks include shadow AI, where employees use unauthorized AI tools, data leakage through AI interactions, prompt injection attacks, and data poisoning that manipulates model behavior.
AI governance is becoming equally critical. Organizations need clear policies controlling how AI is deployed and what data it can access. Without proper governance, AI adoption can introduce significant vulnerabilities across enterprise environments.
How training and managed services close the cyber skills gap
The global cybersecurity workforce shortfall is expanding, leaving critical security roles unfilled as threats accelerate. This gap increases breach costs and slows detection and response times. Enterprises address it through security awareness training, role-based certifications, and managed security services. These strengthen in-house skills, validate technical capability, and provide external expertise to close operational gaps.
Cybersecurity training & certification
Cybersecurity awareness & skills development
Cybersecurity awareness training equips employees to recognize, prevent, and respond to cyber threats. It addresses the human element, which remains the leading cause of breaches across enterprises.
Modern training is shifting from static, one-time modules to continuous learning models. These reinforce behavior over time and improve response readiness. Programs now also include AI-focused modules for generative AI risks and AI-powered attack recognition.
Cybersecurity certification programs
Cybersecurity certifications validate role-ready skills and help close internal capability gaps that increase breach risk. The Fortinet 2025 Global Skills Gap Report shows that 86% of organizations experienced at least one cyber breach in 2024. It also highlights that 89% of IT decision-makers prefer candidates with professional certifications.
At the same time, 54% of organizations attribute breaches to insufficient cybersecurity skills and training. Organizations can also upskill through Fortinet's training and certification programs , which are expanding global capacity to reach one million learners by 2026.
The World Economic Forum’s Global Cybersecurity Outlook 2026 reports that 94% of respondents see AI as the most significant driver of change in cybersecurity. It also notes that 87% identify AI-related vulnerabilities as the fastest-growing risk, while most teams still lack AI-specific skills. As detailed in Fortinet's analysis of AI and the evolving skills gap , this is driving a clear shift toward skills-based hiring. Certifications are increasingly outweighing traditional academic credentials. Fortinet's cybersecurity professional certification paths open clear entry points for career switchers and non-traditional talent to build verified, role-ready skills.
Managed cybersecurity services
Organizations can approach cybersecurity management in three ways: build an in-house security team, partner with a managed security service provider (MSSP) , or adopt a hybrid of both. There is no single right answer. The best fit depends on the organization's size, budget, and internal capabilities.
MSSPs give organizations access to advanced threat intelligence, security tooling, and expert teams without the overhead of building that capability internally. This makes them a practical option for organizations that are resource-constrained or scaling quickly.
Managed services range from basic offerings like firewall management to more advanced solutions. Two of the most widely adopted are MDR and XDR.
MDR, or managed detection and response , combines a dedicated SOC team with continuous monitoring. It focuses on detecting and responding to threats at the endpoint level. XDR, or extended detection and response , takes a broader approach. It extends protection across all layers of the environment, reducing time to detect and contain threats.
For organizations where internal teams are stretched, managed services fill the gap. They provide consistent coverage and faster response times. They also give organizations access to skills that are hard to hire and retain in-house.
Strategic cybersecurity tools and technologies for the modern enterprise
Advanced cybersecurity solutions provide comprehensive protection against sophisticated threats. These solutions utilize cutting-edge technologies like artificial intelligence, machine learning, and behavioral analysis to detect, prevent, and respond to cyberattacks in real-time. By implementing advanced cybersecurity solutions, organizations can proactively mitigate risks, strengthen their security posture, and safeguard their critical assets from evolving cyber threats.
Fortinet has been recognized as a Leader in the 2025 Gartner Magic Quadrant for Hybrid Mesh Firewall, positioned highest for Ability to Execute - and is now recognized in 12 Gartner Magic Quadrant reports across security and networking.
Data loss prevention (DLP)
DLP tools monitor and control the flow of sensitive data across the network. They help safeguard customer data and proprietary information, detecting and preventing unauthorized attempts to or extract it.
Endpoint detection and response (EDR)
An EDR solution continuously monitors devices for signs of malicious activity. By detecting and responding to incidents in real time, it mitigates the risk of an affected endpoint impacting the rest of the network.
Intrusion prevention systems (IPS)
IPS solutions detect and block known and suspected threats by analyzing traffic for signs of malicious activity. They protect against threats such as zero-day exploits and ransomware , stopping these risks through automated response procedures before they can impact the network.
-generation firewalls (NGFWs)
NGFWs go beyond traditional firewalls by incorporating advanced features like deep packet inspection and application awareness. They monitor and control traffic at a more granular level, enabling enterprises to block advanced malware and encrypted attacks. NGFWs help secure the network perimeter while providing greater visibility into network activity — key when dealing with today’s sprawling attack surfaces.
Secure access service edge (SASE)
SASE combines network security functions with wide area networking (WAN) capabilities into a single cloud-based service. By converging security and networking, SASE helps organizations protect their hybrid environments, including remote users' endpoints and branch offices, ensuring consistent security policies and reliable access to resources.
Security information and event management (SIEM)
SIEM systems aggregate and analyze security data across the network to detect suspicious patterns. By providing unified visibility and generating real-time alerts, SIEM helps enterprises quickly identify potential incidents and respond proactively to mitigate.
Security orchestration, automation, and response (SOAR)
SOAR platforms streamline and automate the incident response process. By integrating with SIEM and other security tools, SOAR automates data collection and response execution, reducing manual effort and improving response times.
Emerging trends driving cybersecurity forward
As the cyber threat landscape continues to evolve, understanding cybersecurity trends for 2026 becomes increasingly crucial. This can help organizations implement the right strategies and training programs and take proactive measures to stay ahead of threats.
Key cybersecurity trends shaping enterprise strategy
Agentic AI and autonomous cyber risk : Autonomous AI agents can now execute attacks without human intervention. The WEF Global Cybersecurity Outlook 2026 confirmed the first case of agentic AI completing a full attack lifecycle, from reconnaissance to data exfiltration.
Agentic AI and autonomous cyber risk : Autonomous AI agents can now execute attacks without human intervention. The WEF Global Cybersecurity Outlook 2026 confirmed the first case of agentic AI completing a full attack lifecycle, from reconnaissance to data exfiltration.
Post-quantum cryptography and harvest-now-decrypt-later threats : Attackers are harvesting encrypted data today to decrypt it once quantum capabilities mature. This puts sensitive enterprise data at risk before a breach is even detected. The 2026 Thales Data Threat Report found that 61% of organizations rank harvest-now-decrypt-later as their top quantum concern.
Post-quantum cryptography and harvest-now-decrypt-later threats : Attackers are harvesting encrypted data today to decrypt it once quantum capabilities mature. This puts sensitive enterprise data at risk before a breach is even detected. The 2026 Thales Data Threat Report found that 61% of organizations rank harvest-now-decrypt-later as their top quantum concern.
Regulatory acceleration and compliance pressure : Frameworks such as the Network and Information Security Directive (NIS2), Digital Operational Resilience Act (DORA), and Cybersecurity Maturity Model Certification (CMMC) are expanding compliance obligations across critical sectors. Non-compliance now carries direct financial penalties and personal liability for senior leadership.
Regulatory acceleration and compliance pressure : Frameworks such as the Network and Information Security Directive (NIS2), Digital Operational Resilience Act (DORA), and Cybersecurity Maturity Model Certification (CMMC) are expanding compliance obligations across critical sectors. Non-compliance now carries direct financial penalties and personal liability for senior leadership.
Platform convergence and unified security architecture : Fragmented security toolsets create visibility gaps and slow response times. Enterprises are consolidating onto unified platforms to enforce consistent policy across cloud, endpoint, and network environments.
Platform convergence and unified security architecture : Fragmented security toolsets create visibility gaps and slow response times. Enterprises are consolidating onto unified platforms to enforce consistent policy across cloud, endpoint, and network environments.
Cybersecurity workforce gap : The shortage of skilled security professionals remains one of the most significant risks facing enterprises. The Fortinet 2025 Global Skills Gap Report found that 54% of organizations attribute breaches directly to a lack of security skills and training. This gap is widening as threats grow faster than teams can be built and upskilled.
Cybersecurity workforce gap : The shortage of skilled security professionals remains one of the most significant risks facing enterprises. The Fortinet 2025 Global Skills Gap Report found that 54% of organizations attribute breaches directly to a lack of security skills and training. This gap is widening as threats grow faster than teams can be built and upskilled.
How AI is transforming cybersecurity defense
Artificial intelligence is reshaping how security teams detect, respond to, and prevent cyber threats, shifting operations from reactive to predictive. FortiAI applies this across four core defensive functions:
Automated threat detection : Identifies threats in real time across large volumes of data
Automated threat detection : Identifies threats in real time across large volumes of data
Autonomous incident response : Triggers containment actions without waiting for manual intervention
Autonomous incident response : Triggers containment actions without waiting for manual intervention
Behavioral analytics : Flags anomalies in user and device activity before damage occurs
Behavioral analytics : Flags anomalies in user and device activity before damage occurs
AI-powered threat intelligence : Continuously processes global threat data to anticipate emerging attack patterns
AI-powered threat intelligence : Continuously processes global threat data to anticipate emerging attack patterns
However, enterprises deploying AI without proper governance and access controls introduce new risks, making AI security an essential companion to AI-powered defense.
10 cybersecurity best practices to reduce enterprise risk
There are many ways organizations can improve their security posture. Here are 10 best practices that won’t only enhance short-term defenses, but strengthen long-term resilience:
Use frequent, periodic data backups: Organizations should regularly back up data to ensure that, if an attack occurs, they can quickly restore systems without significant loss.
Implement multi-factor authentication: MFA adds an extra layer of security by requiring users to verify their identity through a combination of “who they are” — username and password — with something they know such as a one-time code. This reduces the risk of unauthorized access. MFA is one of the most effective defenses against credential theft.
Provide ongoing cybersecurity training: Ongoing cybersecurity awareness training helps staff recognize and respond to suspicious activity, minimizing human vulnerability.
Use proper password hygiene: Strong password policies should require long, complex passwords, changed regularly, rather than short, easily guessed ones. Organizations must also advocate against reusing passwords across platforms to prevent lateral movement and data exfiltration.
Leverage encryption software: Sensitive data must be protected both at rest and in transit. Encryption helps safeguard confidential information by obfuscating its contents and rendering it unreadable to unauthorized parties, even if it’s intercepted or stolen.
Regularly update software: Outdated systems often contain vulnerabilities that cybercriminals can exploit. Regularly updating applications and patching security flaws ensures they have the latest protections. An endpoint protection agent can monitor operating systems and applications and notify the user of needed updates.
Limit user privileges: The zero trust model advocates for the principle of least-privileged access . This means users only have access to the resources necessary for their roles, thus minimizing the potential damage if their accounts are compromised.
Develop an incident response plan: A clear and tested plan is critical during an active security threat. It should include steps for containment, mitigation, communication, and recovery, ensuring the organization can quickly address and respond to an attack.
Segment the network: Segmentation is a strategy that divides the larger network into smaller isolated pieces. This ensures the impact of a breach is limited in scope, preventing bad actors from moving laterally to harvest more data.
Conduct regular security audits: Businesses should periodically review their cybersecurity measures to identify weaknesses and gaps. Proactively testing defenses can help uncover vulnerabilities before attackers exploit them, allowing teams to strengthen the overall security posture.
Also read through this elaborate checklist containing cybersecurity tips for SMBs .
The full story
This article is one source in a clustered incident — the cluster page carries the summary, timeline and every other outlet covering it.
