McAfee Labs 2017 Threats Predictions Report - IoT Predictions
McAfee Labs 2017 Threats Predictions Report - IoT Predictions

Intel Security Predictions Provide Insights for 2017 and Future of Cloud and Internet of Things Security; Poses Six Challenges Industry Must Address

 NEWS HIGHLIGHTS

  • McAfee Labs predicts 14 security developments for 2017
  • Identifies 11 cloud threats, three legal hurdles, and 10 vendor actions likely to occur in the next four years
  • Makes 21 predictions regarding Internet of Things security threats, legal actions, and vendor responses in next four years
  • Identifies six “hard to solve” challenges for the cybersecurity industry to overcome

India, December 07, 2016 – Intel® Security today released its McAfee Labs 2017 Threats Predictions Report, which identifies 14 threat trends to watch in 2017, the most critical developments to watch for in cloud security and the Internet of Things (IoT) security, and the six most difficult-to-solve challenges facing the cybersecurity industry.

McAfee Labs 2017 Threats Predictions Report - Cloud predictions
McAfee Labs 2017 Threats Predictions Report – Cloud predictions

The report reflects the informed opinions of 31 Intel Security thought leaders. It examines current trends in cybercrime and makes predictions about what the future may hold for organizations working to take advantage of new technologies to both advance their businesses and provide better security protection.

“To change the rules of the game between attackers and defenders, we need to neutralize our adversaries’ greatest advantages,” said Vincent Weafer, vice president of Intel Security’s McAfee Labs. “As a new defensive technique is developed, its effectiveness increases until attackers are compelled to develop countermeasures to evade it. To overcome the designs of our adversaries, we need to go beyond understanding the threat landscape to changing the defender-attacker dynamics in six key areas: information asymmetry, making attacks more expensive, improving visibility, better identifying exploitation of legitimacy, improving protection for decentralized data, and detecting and protecting in agentless environments.”

2017 Threats Predictions

 The 2017 threats predictions run the gamut, including threats around ransomware, sophisticated hardware and firmware attacks, attacks on “smart home” IoT devices, the use of machine learning to enhance social engineering attacks, and an increase in cooperation between industry and law enforcement:

  1. Ransomware attacks will decrease in the second half of 2017 in volume and effectiveness.
  2. Windows vulnerability exploits will continue to decline, while those targeting infrastructure software and virtualization software will increase.
  3. Hardware and firmware will be increasingly targeted by sophisticated attackers.
  4. Hackers using software running on laptops will attempt “dronejackings” for a variety of criminal or hacktivist purposes.
  5. Mobile attacks will combine mobile device locks with credential theft, allowing cyber thieves to access such things as banks accounts and credit cards.
  6. IoT malware will open backdoors into the connected home that could go undetected for years.
  7. Machine learning will accelerate the proliferation of and increase the sophistication of social engineering attacks.
  8. Fake ads and purchased “likes” will continue to proliferate and erode trust.
  9. Ad wars will escalate and new techniques used by advertisers to deliver ads will be copied by attackers to boost malware delivery capabilities.
  10. Hacktivists will play an important role in exposing privacy issues.
  11. Leveraging increased cooperation between law enforcement and industry, law enforcement take down operations will put a dent in cybercrime.
  12. Threat intelligence sharing will make great developmental strides in 2017.
  13. Cyber espionage will become as common in the private sector and criminal underworld as it is among nation-states.
  14. Physical and cybersecurity industry players will collaborate to harden products against digital threats.

For more information on the 2017 McAfee Labs predictions, please see the blog post entitled [Link to 2017 Blog].

McAfee Labs 2017 Threats Predictions Report - IoT Predictions
McAfee Labs 2017 Threats Predictions Report – IoT Predictions

Cloud Security and Internet of Things Predictions

McAfee Labs also provided predictions for IoT and Cloud security during the next two to four years, including threat, economic, policy, and regional trends likely to shape each area. Gathering insights from Intel Security researchers, the following predictions also anticipate the responses we expect to see from device manufacturers, cloud service providers, and security vendors.

The Cloud predictions touched on topics such as trust in the cloud, storage of intellectual property, antiquated authentication, east-west and north-south attack vectors, gaps in coverage between service layers, for-hire hackers in the cloud, “denial of service for ransom” attacks, IoT implications for cloud security models, laws and litigation versus innovation, movement of data across borders, biometrics as cloud enablers, cloud access security brokers (CASBs), protection of data at rest and in motion, machine learning, cyber insurance, and ongoing conflicts pitting speed, efficiency, and cost against control, visibility, and security in cloud offerings.

For more detail and insight on the report’s Cloud predictions, please see the blog entitled [Link to Cloud predictions blog]

The IoT predictions focused on cybercrime economics, ransomware, hacktivism, nation-state attacks on criminal infrastructure, challenges for device makers, privacy threats and opportunities, encryption, behavioral monitoring, and cyber insurance and risk management.

For more detail and insight on the report’s IoT predictions, please see the blog entitled [Link to IoT predictions blog]

Six Critical Industry Challenges

The difficult-to-solve problems section of the report challenges the industry to improve threat defense effectiveness by reducing information asymmetry between defenders and attackers, making attacks more expensive or less profitable, improving visibility into cyber events, better identifying exploitation of legitimacy, improving protection for decentralized data, and detecting and protecting in agentless environments.

For more insight on McAfee Labs’ six hard-to-solve problems, please see the blog entitled [Link to Six Problems].

For more information, please read the full report: McAfee Labs 2017 Threats Predictions Report.

McAfee Labs is the threat research division of Intel Corporation’s Intel Security Group, and one of the world’s leading sources for threat research, threat intelligence, and cybersecurity thought leadership. The McAfee Labs team of researchers collects threat data from millions of sensors across key threat vectors—file, web, message, and network. | Intel Security is intensively focused on developing proactive, proven security solutions and services that protect systems, networks, and mobile devices for business and personal use around the world. Intel Security combines the experience and expertise of McAfee with the innovation and proven performance of Intel. http://www.intelsecurity.com/
McAfee Labs is the threat research division of Intel Corporation’s Intel Security Group, and one of the world’s leading sources for threat research, threat intelligence, and cybersecurity thought leadership. The McAfee Labs team of researchers collects threat data from millions of sensors across key threat vectors—file, web, message, and network. | Intel Security is intensively focused on developing proactive, proven security solutions and services that protect systems, networks, and mobile devices for business and personal use around the world. Intel Security combines the experience and expertise of McAfee with the innovation and proven performance of Intel. http://www.intelsecurity.com/

MCAFEE LABS Threats Predictions: Cyber Threats for 2017 & beyond

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