As we approach the midpoint of 2023, the rapid evolution of IT and cybersecurity has prompted me to compile a list of predictions about how the cybersecurity landscape will change over time. In this article, I'll explore the key trends poised to shape the future of cybersecurity. Given the dynamic nature of technology and the ever-changing threat landscape, these insights can serve as a valuable guide for organizations and individuals seeking to navigate the challenges and opportunities that lie ahead for cybersecurity.
I formulated these predictions by drawing from my extensive experience in cybersecurity, deep research into emerging technologies, incidents, and attack patterns highlighted in Verizon's latest DBIR report, the threat landscape and cyber resilience strategies detailed in Microsoft's most recent Digital Defense report, and many other sources. Where possible, I included links to additional reading for those wanting to go deeper on these topics. Here is what we will cover today (these are ranked in no particular order):
Surge in AI and ML-driven Attacks
New IoT and Edge Computing Threats
Rise of Deepfakes and Misinformation
Quantum Computing Threatens Encryption
Increase in Supply Chain Attacks
Increased Focus on Privacy?Regulations and Confidential Computing
Growing Risk of Insider Threats and Human Factors
More Advanced Cyber Warfare and Nation-state Threats
Growing Need for Cyber Threat Intelligence
Adoption of Evolving & Adaptable Cyber Defenses
Steady Continuation of Ransomware Attacks
Remember, nobody possesses a crystal ball; these insights merely represent one individual's diligent efforts and educated guesses in anticipating the future of cybersecurity.
With that out of the way, let's dive in!
1. Surge in AI and ML-driven Attacks
AI and ML-driven Attacks
Of course, we have to open with Artifical Intelligence (AI) and Machine Learning (ML). In the not-too-distant future, cybercriminals are expected to increasingly leverage AI and ML to automate and scale their attacks. Attackers will soon bypass traditional security measures with ease, adapt their tactics to evade detection, and target a larger number of victims more efficiently. AI and ML-driven attacks may include the use of AI-generated phishing emails, automated vulnerability scanning and exploitation, and intelligent malware that can adapt its behavior to avoid detection.
Plausible Scenario: A cybercriminal deploys an ML-driven bot that scans the internet for websites with known vulnerabilities. Once a vulnerable website is discovered, the bot automatically exploits the vulnerability to inject malicious code, compromising the site and potentially gaining access to sensitive data.
Potential Impacts: AI and ML-driven attacks can have significant consequences for organizations, as they can be more challenging to detect and defend against than traditional attacks. AI and ML can enable cybercriminals to carry out attacks at a faster pace and larger scale, potentially causing greater damage and disruption. These advanced attacks can also challenge established security measures and require organizations to continuously adapt their defenses to stay ahead of evolving threats.
Mitigation Strategies: (a) Invest in advanced security solutions that leverage AI and ML technologies to detect and respond to threats more effectively, such as AI-powered threat detection, behavior-based analytics, and automated incident response tools, (b) continuously update and fine-tune security tools and algorithms to stay ahead of evolving AI and ML-driven attack techniques, (c) conduct regular security assessments and penetration tests to identify and address potential vulnerabilities and weaknesses that could be exploited by AI and ML-driven attacks, (d) stay informed about emerging AI and ML-driven attack techniques and trends by monitoring industry research, threat intelligence, and cybersecurity news, (e) collaborate with industry peers and participate in information-sharing initiatives to collectively strengthen defenses against AI and ML-driven attacks, (f) Implement strong authentication methods, such as multi-factor authentication (MFA), to reduce the risk of AI-generated phishing attacks and other identity-based threat, (g) develop and implement comprehensive security policies and procedures that take into account the unique challenges posed by AI and ML-driven attacks, (h) foster a culture of continuous learning and improvement within the organization, encouraging employees to stay informed about AI and ML-driven threats and to participate in ongoing training and education programs.
The rapid growth of connected devices, collectively known as the Internet of Things (IoT), and the increasing adoption of edge computing presents new challenges and opportunities for cybercriminals. As the number of IoT devices rises, the attack surface expands, providing more potential entry points for hackers. Many IoT devices and edge computing systems have weaker security measures than traditional IT infrastructure, making them more vulnerable to attacks.
Plausible Scenario: An attacker exploits a vulnerability in a popular smart home device, gaining unauthorized access to the user's home network. From there, the attacker can move laterally across the network, compromising other connected devices and eventually exfiltrating sensitive personal data.
Potential Impacts: IoT and edge computing threats can have significant consequences for organizations and individuals alike, including data breaches, privacy violations, operational disruptions, and potential physical harm in the case of critical infrastructure or industrial control systems. Additionally, compromised IoT devices can be harnessed into botnets, amplifying the scale and impact of cyberattacks.
Mitigation Strategies: (a) Implement strong security measures for IoT devices and edge computing systems, including robust access controls, data encryption, and secure communication protocols, (b) regularly update IoT devices and edge computing systems with the latest security patches and firmware updates to address known vulnerabilities, (c) ensure that default passwords and settings on IoT devices are changed to unique, secure credentials before deploying them on a network, (d) segregate IoT devices and edge computing systems from other parts of the network, minimizing the potential for lateral movement in the event of a breach, (e) conduct regular security assessments and penetration tests to identify and address potential vulnerabilities in IoT devices and edge computing infrastructure, (f) develop and implement policies and procedures for the procurement, deployment, and management of IoT devices, ensuring that security considerations are integrated throughout the device lifecycle, (g) educate employees about the risks associated with IoT devices and edge computing, and provide training on best practices for securely deploying and managing these technologies.
Additional Reading: The IoT security survival guide by CSO, guide to IoT Security, gathered from CSO's popular interviews with IoT experts, provides a complete look at techniques used to prevent and defend against IoT-related attacks, as well as advice for IoT planning.
3. Rise of Deepfakes and Misinformation
Deepfakes and Misinformation
While some may consider Deepfakes and Misinformation AI and ML-driven Attacks, I believe this deserves its own spotlight. Over the last five years, advances in graphics and machine learning have?introduced easy-to-use tools capable?of quickly generating high-quality, realistic content that can spread?widely across the internet in seconds. The rise of deepfake technology will enable the creation of convincing fake videos and audio for social engineering, political manipulation, and fraud.
Plausible Scenario: A cybercriminal creates a deepfake video of a company's CEO announcing a significant acquisition, causing the company's stock price to skyrocket before it is revealed that the announcement was a hoax. The cybercriminal profits from the artificial stock price increase by selling shares they had bought in anticipation of the scheme.
Potential Impacts: The rise of deepfakes and misinformation can have wide-ranging consequences, including the erosion of trust in digital media, manipulation of public opinion, financial losses, reputational damage, and potential legal liabilities. Organizations may also face increased risks of social engineering attacks, as deepfakes can be used to impersonate trusted individuals or create seemingly legitimate communications.
Mitigation Strategies: (a) Educate employees about the existence and dangers of deepfakes, raising awareness of the potential risks associated with manipulated media content, (b) develop and implement policies and procedures to verify and authenticate digital media, including images, videos, and audio, (c) invest in technology solutions that can detect deepfakes and manipulated content, such as AI-driven image and video analysis tools, (d) establish clear communication channels for employees, partners, and customers to report suspected deepfakes or misinformation, (e) implement strong authentication methods, such as multi-factor authentication (MFA), to reduce the risk of social engineering attacks involving deepfakes, (f) collaborate with industry peers, sharing threat intelligence and best practices related to deepfakes and misinformation, (g) engage in public awareness campaigns to educate the broader community about the risks and consequences of deepfakes and misinformation.
Before AI went mainstream, secrets management and the impact quantum computing would have on the field were all the rage. The pressure is on to manage the threat?quantum computing poses to today’s cryptography and everything it protects.?The National Security Memorandum (NSM) on?Improving the Cybersecurity of National?Security Department of Defense (issued January 19, 2022) builds on US Executive Order 1042816?for implementing quantum-resistant protocols. Its clear that the advent of quantum computing will likely render current encryption standards obsolete, posing a significant threat to data privacy and security. Organizations will need to adopt quantum-resistant encryption methods to protect sensitive information.
Plausible Scenario: As quantum computing advances, a cybercriminal with access to a sufficiently powerful quantum computer could potentially decrypt sensitive data encrypted with widely-used algorithms like RSA or AES, compromising the privacy and security of vast amounts of sensitive information, including financial transactions, personal communications, and intellectual property.
Potential Impacts: The advent of quantum computing may render current encryption methods obsolete, leaving organizations and individuals vulnerable to cyberattacks, data breaches, and espionage. This vulnerability extends beyond immediate threats, as encrypted data intercepted today could be decrypted once quantum computing becomes more accessible. The potential consequences of quantum computing threats include significant financial losses, intellectual property theft, privacy violations, and damage to critical infrastructure.
Mitigation Strategies: (a) Research and adopt quantum-resistant encryption algorithms, and stay informed about advancements in quantum computing technology such as NIST’s Post-Quantum Standardization?project, (b) take an inventory of your products/codes?that use cryptography, (c) implement a crypto agility strategy?across your organization that minimizes the code churn required when?cryptography changes, (d) pilot the use of candidate quantum-safe?algorithms in your products or services?that use cryptography, (e) be prepared to use different public key?algorithms for encryption, key exchange,?and signatures, (f) test your applications for the impact of very?large key sizes, ciphers, and signatures.
Global supply chains' increasing complexity and interconnectedness makes them prime targets for cybercriminals. In recent years, supply chain attacks have gained traction, with attackers compromising third-party vendors and software providers to gain access to a larger number of victims. The risk will only grow as businesses rely on multiple suppliers and service providers.
Plausible Scenario: A large multinational corporation relies on a third-party logistics provider for the management of its global shipping operations. Cybercriminals compromise the logistics provider's systems, gaining access to the corporation's shipping data and tampering with critical shipping schedules. As a result, the corporation experiences delays, damaged goods, and increased costs, all while being unaware of the root cause.
Potential Impacts: The ramifications of supply chain attacks can be widespread and far-reaching. A successful attack could result in data breaches, intellectual property theft, operational disruption, financial losses, and reputational damage for the targeted organizations. Moreover, the cascading effect of a supply chain attack can impact numerous organizations at once, amplifying the overall consequences of the incident.
Mitigation Strategies: (a) Implement robust vendor risk management processes, including regular security audits and performance evaluations, (b) establish contractual agreements with vendors that outline clear security requirements and responsibilities, (c) encourage or require vendors to obtain relevant security certifications, such as ISO/IEC 27001 or SOC 2 Type II, to ensure they maintain a high level of security, (d) apply the principle of least privilege, granting vendors and suppliers access to only the necessary systems and data required to perform their tasks, (e) develop and maintain strong communication channels with vendors to facilitate the sharing of threat intelligence and to coordinate responses to potential security incidents, (f) employ network segmentation to isolate critical systems and data from potential breaches in the supply chain, thus minimizing the impact of an attack, (g) establish incident response plans specifically designed for supply chain attacks, enabling swift action and recovery in case of an incident.
6. Increased Focus on Privacy Regulations and Confidential Computing
Increased Focus on Privacy Regulations and Confidential Computing
As data breaches and privacy scandals continue to make headlines, public concern is growing about how personal data is collected, processed, and stored. Governments and regulators respond to these concerns worldwide with new regulations. The pattern of annual or bi-annual updates to privacy requirements will continue for the foreseeable future. Aside from regulations expect to see the rise and rapid adoption of confidential computing technologies that provide the last piece of end-to-end encryption: encryption-in-use (see Intel's New Trust Domain Extensions). If you haven't heard of confidential computing now is a great time to jump into it. It is a fantastic answer to a growing need for companies to protect sensitive data stores and computing.
Plausible Scenario: A social media platform is found to have shared user data with third-party advertisers without obtaining proper consent. The company faces public backlash, regulatory scrutiny, and significant fines for violating data protection regulations.
Potential Impacts: The increased focus on privacy and regulation can have several consequences for businesses. These include higher compliance costs, potential fines for non-compliance, business model and practice changes, and the need to adapt to evolving regulatory requirements. Companies that fail to comply with regulations may face reputational damage, eroding consumer trust and potentially impacting their market position.
Mitigation Strategies: (a) Stay informed about relevant data protection regulations and requirements, both locally and globally, to ensure compliance with applicable laws, (b) adopt confidential computing solutions (especially when considering developing a privacy-by-design system), (c) develop comprehensive data protection policies and procedures that outline how personal data is collected, processed, stored, and shared, (d) appoint a Data Protection Officer (DPO) or designate a responsible individual to oversee data protection efforts and ensure compliance with relevant regulations, (e) conduct regular privacy impact assessments to identify potential risks and vulnerabilities in data processing activities and implement measures to mitigate these risks, (f) implement strong data encryption and access controls to protect personal data from unauthorized access, disclosure, or theft, (g) develop transparent privacy policies and communicate them clearly to users, detailing the types of data collected, the purposes for which it is used, and how it is protected, (h) obtain explicit consent from users before collecting, processing, or sharing their personal data, as required by applicable regulations, (i) establish processes for handling data subject rights requests, such as the right to access, rectification, erasure, and data portability, (j) develop an incident response plan specifically tailored to data breaches, ensuring timely detection, containment, and remediation, as well as proper notification to affected individuals and relevant authorities.
7. Growing Risk of Insider Threats and Human Factors
Insider Threats and Human Factors
As technology advances and organizations deploy increasingly sophisticated security measures, the human factor remains a critical concern. Insider threats, which can be malicious or unintentional, can cause significant harm to organizations. Malicious insiders may steal sensitive information, sabotage operations, or engage in other harmful activities. In contrast, unintentional insider threats may result from human errors, such as falling for phishing attacks or accidentally disclosing sensitive data. As a result, organizations must invest in employee training, security awareness, and robust access controls to minimize the risks posed by insider threats and human factors.
Plausible Scenario: A well-intentioned employee receives a phishing email that appears to be from the company's IT department, requesting that they reset their password. The employee clicks the link and unwittingly provides their login credentials to a cybercriminal, who then gains access to the organization's sensitive data.
Potential Impacts: Insider threats and human factors can have significant consequences for organizations, including data breaches, loss of intellectual property, reputational damage, operational disruption, and potential legal liabilities. These threats can be particularly difficult to detect and prevent, as they often involve trusted individuals or seemingly benign actions.
Mitigation Strategies: (a) Implement robust access controls based on the principle of least privilege, ensuring that employees have access only to the systems and data necessary for their job functions, (b) conduct regular employee training and security awareness programs, covering topics such as phishing, social engineering, and secure data handling practices, (c) establish clear policies and procedures for the use and handling of sensitive information, and communicate these expectations to employees, (d) deploy user behavior analytics (UBA) tools to monitor and analyze user activity, identifying potential anomalies and suspicious behavior that may indicate an insider threat, (e) encourage a culture of security, in which employees feel empowered to report potential threats or vulnerabilities and understand their role in maintaining the organization's security posture, (f) conduct background checks and ongoing security assessments for employees with access to sensitive information or critical systems, and provide additional training and supervision as needed, (g) develop an incident response plan that specifically addresses insider threats, outlining steps for detection, containment, investigation, and remediation, (h) foster a supportive work environment that addresses employee grievances and concerns, reducing the likelihood of disgruntled employees becoming malicious insiders, (i) Implement a separation of duties policy, requiring multiple individuals to approve sensitive actions or transactions to minimize the risk of insider fraud or sabotage.
8. More Advanced Cyber Warfare and Nation-state Threats
Cyber Warfare and Nation-state Threats
The conflict in Ukraine has provided an all too-real example of how cyberattacks?evolve to impact the world in parallel with?military conflict on the ground. Power systems,?telecommunication systems, media, and?other critical infrastructure became targets of physical attacks and cyberattacks.? Nation-state actors will continue to engage in cyber warfare and espionage, targeting critical infrastructure, intellectual property, and sensitive government data. Last year nation-state actors increased their activity and made significant advancements in?automation, cloud infrastructure, and remote?access technologies to attack a wider set?of targets. Corporate IT supply chains that?enable access to ultimate targets were?frequently attacked.
Plausible Scenario: A nation-state actor infiltrates the control system of a critical infrastructure facility, causing a widespread power outage.
Potential Impacts: Disruption to essential services, potential harm to public safety, and economic damage.
Mitigation Strategies: (a) Cyber security hygiene?has become even more critical as actors rapidly?exploited unpatched vulnerabilities, used sophisticated and brute force techniques to steal credentials, and obfuscated their operations using open source or legitimate software, (b) before the invasion of Ukraine, governments thought that?data needed to stay inside a country to be secure but?after the invasion, migrating data to the cloud and moving?outside territorial borders is now a part of resiliency?planning and good governance, (c) organizations should implement strong security measures for critical infrastructure, collaborate with national and international cybersecurity agencies, and develop incident response plans.
As cyber threats become more sophisticated and persistent, organizations must adapt their defense strategies to stay ahead of their adversaries. Cyber threat intelligence (CTI) is the collection, analysis, and dissemination of information about current and potential cyber threats, which can help organizations identify and understand the risks they face. Collaboration between organizations, both within industries and between the public and private sectors, can enhance the effectiveness of CTI efforts by allowing for the sharing of valuable insights and experiences.
Plausible Scenario: A group of banks collaborates to share information about a new, advanced form of financial malware targeting their industry. Banks can quickly develop and deploy countermeasures to protect their systems and customers from malware by pooling their knowledge and resources.
Possible Benefits: The growing need for cyber threat intelligence and collaboration can benefit organizations. These include improved ability to detect, prevent, and respond to threats; enhanced situational awareness; better-informed decision-making; reduced risk of successful attacks; and the potential for cost savings through shared resources and expertise. However, there may also be challenges associated with collaboration, such as concerns about data privacy, trust between organizations, and the potential for sensitive information to fall into the wrong hands.
Action/Planning Items: (a) Establish dedicated CTI teams to collect, analyze, and disseminate threat intelligence, both internally and externally, (b) develop a CTI strategy that aligns with the organization's overall risk management goals and objectives, (c) implement tools and technologies to support CTI efforts, such as threat intelligence platforms, threat feeds, and automated analysis tools, (d) foster a culture of information sharing within the organization, encouraging employees to report potential threats and vulnerabilities, (e) participate in industry-specific information sharing and analysis centers (ISACs) or other relevant forums to facilitate the exchange of threat intelligence with peers, (f) build relationships and trust with other organizations, both within the same industry and across different sectors, to facilitate collaboration and the sharing of best practices, (g) collaborate with law enforcement and government agencies to share threat intelligence and support broader efforts to combat cybercrime, (h) regularly assess the effectiveness of CTI efforts, using metrics and feedback to improve and refine the organization's threat intelligence capabilities continuously.
10. Adoption of Evolving & Adaptable Cyber Defenses
Adoption of Evolving & Adaptable Cyber Defenses
Organizations must continually adapt and enhance their cyber defenses to stay ahead of attackers. This involves embracing emerging technologies and methodologies, such as artificial intelligence (AI) and machine learning (ML) for threat detection and response, Zero Trust architecture to limit unauthorized access, and Security Orchestration, Automation, and Response (SOAR) platforms to streamline security operations. Zero Trust architecture and SOAR platforms will become more widespread as organizations seek to enhance their posture. In the near future, AI-powered cybersecurity protection will become necessary, giving rise to a perpetual arms race between defenders and attackers. For those familiar with the research on Artificial Immune Systems (AIS), we will likely see such systems fully realized in the next decade.
Plausible Scenario: A company deploys an AI-driven security solution that identifies and mitigates a sophisticated, previously unknown malware variant before it can cause significant damage.
Possible Benefits: Evolving cyber defenses can help organizations stay one step ahead of cybercriminals, reducing the risk of successful attacks, minimizing the potential damage from security incidents, and improving overall security posture. However, implementing advanced defenses can be resource-intensive, requiring technology, personnel, and training investments.
Action/Planning Items: (a) Assess and prioritize risks, focusing on the most significant threats and vulnerabilities that could impact the organization's critical assets and operations, (b) invest in advanced security technologies, such as AI and ML-driven threat detection and response tools, Zero Trust architecture, and SOAR platforms, (c) ensure that security solutions are properly configured, maintained, and updated to maximize their effectiveness against the latest threats, (d) develop and implement comprehensive security policies and procedures that align with industry standards and best practices, (e) foster a culture of continuous improvement, encouraging employees to identify areas for improvement and implementing lessons learned from security incidents, (f) conduct regular security assessments and penetration tests to identify and address potential weaknesses in the organization's defenses, (g) collaborate with industry peers, sharing threat intelligence and best practices to collectively strengthen cyber defenses, (h) allocate sufficient resources to cybersecurity efforts, including personnel, training, and technology investments.
Ransomware, a malicious software that encrypts a victim's data and demands payment for its decryption, has emerged as one of the most prevalent and disruptive cyber threats. With cybercriminals constantly innovating and refining their tactics, ransomware attacks are anticipated to escalate in complexity and reach, presenting a growing risk to organizations and individuals alike. These attacks increasingly endanger everyone, as critical infrastructure, businesses of all sizes, and state and local governments find themselves targeted by criminals exploiting a burgeoning cybercriminal ecosystem. The success and wide-ranging consequences of these attacks stem from the industrialization of the cybercrime economy, which provides access to advanced tools and infrastructure, thereby extending cybercriminal capabilities and reducing the barriers to entry for less skilled attackers. In recent years, ransomware has transitioned from a model where a single "gang" would develop and distribute a ransomware payload to a more sophisticated ransomware-as-a-service (RaaS) approach. The trend of ransomware attacks adopting a double extortion monetization strategy has become a standard?practice and will remain so moving forward. This involves exfiltrating data from?compromised devices, encrypting the data on?the devices, and then posting or threatening to?post the stolen data publicly to pressure victims?into paying a ransom. Microsoft observed a drop in the?overall number of ransomware cases?reported in North?America and Europe compared to the?previous year. At the same time, cases?reported in Latin America increased, and ransom?demands in all regions more than doubled.
Plausible Scenario: Cybercriminals develop a new strain of ransomware that not only encrypts data but also leverages AI and ML techniques to intelligently identify and target the most critical and valuable information within an organization. This advanced ransomware variant could demand higher ransoms based on the perceived value of the encrypted data, maximizing profits for the attackers.
Potential Impacts: The evolution of ransomware attacks could result in more targeted, sophisticated, and damaging campaigns, causing significant financial losses, operational disruptions, and reputational damage for affected organizations. The potential consequences of these advanced ransomware attacks extend beyond the immediate impact of data loss. Victims may also face legal, regulatory, and compliance issues, particularly if sensitive customer or employee data is compromised.
Mitigation Strategies: The three main contributing?factors in victim organizations are: weak identity controls, ineffective security?operations, and data protection strategy. Organizations can mitigate the impact of a ransomware incident by (a) implementing robust data backup and recovery processes, ensuring that critical data is securely stored and can be quickly restored in the event of a ransomware attack, (b) regularly updating and patching software and systems to address known vulnerabilities that ransomware attackers could exploit, (c) deploying advanced security solutions, such as endpoint detection and response (EDR) tools and AI-driven threat detection, to identify and block ransomware threats before they infiltrate the network, (d) employing strong email security measures, including spam filtering and user training, to minimize the risk of phishing attacks, a common vector for ransomware infections, (e) developing and implementing comprehensive incident response and business continuity plans to ensure the organization is prepared to react swiftly and effectively to a ransomware attack, minimizing downtime and disruption, (f) educating employees about the risks of ransomware and provide regular training on best practices for identifying and avoiding potential threats, such as phishing emails and malicious attachments, (g) collaborating with industry peers, law enforcement agencies, and cybersecurity experts to share threat intelligence and best practices related to ransomware attacks and defense, (h) investing in cyber insurance policies that cover ransomware attacks and associated costs, such as data recovery, legal fees, and public relations efforts.
Disclaimer: The views and opinions expressed in this article are my own and do not reflect those of my employer. This content is based on my personal insights and research, undertaken independently and without association to my firm.
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