Five Emerging Trends in Cybersecurity to Watch for in 2024

Netwrix boothCybersecurity solutions provider Netwrix has released five key IT security trends that will affect organizations of all sizes in 2024. These five trends – which include everything from AI-driven attacks that accelerate cybercrime to the challenges associated with obtaining cyberinsurance – are more than just projections; they provide a roadmap for companies navigating the increasingly complex world of IT security.

These observations are provided by Netwrix’s Security Strategist Ilia Sotnikov and Vice President of Security Research Dirk Schrader. They have shared the following five cybersecurity trends to expect in the coming year:

  • Cyber insurance requirements will tighten – With successful cyberattacks leading to increasing payouts, insurers will require more organizations to have strong security measures in place to qualify for a policy or to reduce premiums. Patch management, multifactor authentication (MFA), and frequent security training for corporate users are becoming common needs. Identity and access management, or IAM, is expected to be added to that list in 2024, particularly for the business market. Furthermore, we anticipate that insurers will collaborate with managed service providers (MSPs) to support small and midsize businesses in ensuring a minimal degree of security.
  • Attackers will increasingly harvest encrypted data, even if they cannot yet unlock it – Because quantum computing is developing quickly, forward-thinking cybercriminals will be taking advantage of encrypted material that is now unlocked by current technology but may eventually be decrypted. Vast enterprises with important intellectual property, financial and legal firms, government and military agencies, and other institutions with vast quantities of sensitive data will be the primary targets. Organizations should develop a multi-layered approach that incorporates data categorization, risk assessment and mitigation, incident detection and response, rather than seeing encryption as a magic bullet to decrease risk. They should also keep in mind that data harvesting may go unreported in situations when there isn’t a ransom demand or other obvious repercussions, and they should keep a closer eye on behavior related to their sensitive data, particularly encrypted material.
  • AI tools will make it easy for cybercriminals to glean the details they need – Threat actors will be able to use AI to quickly find the personal information needed to craft convincing phishing emails and to mine databases of credentials that have been stolen to launch successful password-based assaults. Organizations need to invest in identity threat detection and response (ITDR) technologies, strictly regulate privileged access, and mandate strong, one-of-a-kind passwords in order to lower risk.
  • Phishing emails will be harder to spot and expand in non-English-speaking countries – Phishing emails used to be often written in English and rife with typos and grammatical mistakes. However, by 2024, attackers will find it much simpler to create convincing emails in any language thanks to AI technologies. Organizations must modernize their phishing training and make it simple for consumers to report questionable communications in order to fight back. IT departments in non-English speaking areas should also alert users about the increasing possibility of receiving fraudulent emails in their mother tongue.
  • Everyone will be at risk from security fatigue – Because compromising even one account allows an adversary to get access to the IT environment, user identities are a prime target for them. However, bombarding people with alerts from programs like mail agents and making them attend regular awareness training sessions may backfire, causing security fatigue that might result in the mistakes and carelessness that the company was attempting to stop. Adopting a Zero Trust paradigm based on least privilege is a more successful tactic. To make awareness training more palatable, also customize it to the requirements of certain staff groups.

The Use of AI and Machine Learning

“Criminals will be taking advantage of AI and machine learning – but so should the security community,” said Ilia Sotnikov, Netwrix’s Security Strategist. “These technologies can help quickly connect the dots across multiple data sets, giving them the broader context required to spot even sophisticated cyberattacks in their early stages. Plus, they can respond faster and more effectively because they can see exactly what happened and which accounts, data and other assets were involved.”

Since 2006, security professionals’ jobs have been made easier by Netwrix products, which help them recognize and safeguard critical data to lower the chance of a breach and identify, react to, and recover from assaults to lessen their effects. To improve their security and compliance posture across the three main attack vectors – data, identity, and infrastructure – more than 13,500 enterprises worldwide depend on Netwrix solutions.