The Impact of Artificial Intelligence on Cybersecurity | #hacking | #cybersecurity | #infosec | #comptia | #pentest | #ransomware

Artificial intelligence (AI) and cyber threats are becoming increasingly intertwined in a unique way. While AI creates new and sophisticated cyber threats, it is also being used in software and services that could enhance the efficiency and effectiveness of responding to cyber incidents. Companies should understand this evolution, driven by AI-driven cyber threats, and consider implementing AI-based tools to strengthen their cybersecurity programs.

New Threats

Cybercriminals are utilizing AI to launch targeted and efficient cyberattacks, often using inexpensive AI-based tools that disrupt the cybersecurity landscape. Attackers use AI to quickly create malware and other viruses, making these threats accessible to anyone who wants to become a hacker, regardless of technical knowledge or programming skills. They also use generative AI to create convincing fake phishing emails, SMS messages, and voice messages, eliminating grammar mistakes or spelling errors that were once characteristic of these types of attacks. The power of these tools allows easier content creation in multiple languages, thereby increasing the geographical scope of threats.

AI enables attackers to create more effective fake images, audio recordings, or video footage of events and individuals. Fake images, audio recordings, and videos facilitate identity theft, social engineering, and other forms of deception. AI-based technologies make it difficult to distinguish between real and fake, resulting in faster, easier, more widespread, and more impactful cyberattacks.

Strengthening Security

Our dependence on computer technology, combined with the rise of AI-generated cyber threats, poses new risks for companies and makes preparedness for cyber attacks essential.

The arms race for offensive and defensive superiority in cyber warfare is ever-evolving. The power of AI creates a range of new tools and services to combat cyber fraud, entering the market and becoming increasingly cost-effective. Some of their capabilities include:

  • Automating threat detection activities without human intervention, increasing the efficiency and effectiveness of threat mitigation and detection.
  • Detecting and identifying vulnerable patterns and potential flaws within company networks and monitoring them in real-time.
  • Analyzing patterns, content, anomalies, and connections in emails before they reach users’ inboxes to prevent phishing attacks, as well as analyzing audio and video content to quickly detect potentially fraudulent information.
  • Using advanced machine learning techniques to rapidly investigate large volumes of potentially malicious data.
  • Analyzing historical data to identify the root causes of incidents.
  • Optimizing incident response by automatically communicating with relevant team members, categorizing and ranking incidents based on the potential damage they can inflict on the organization, and streamlining the incident documentation process.

There is no one-size-fits-all solution for incident response, and organizations must invest the necessary time and effort to properly implement and customize appropriate technologies within their environment. To maximize the efficiency of AI-based solutions, these tools must be “trained” on relevant data within the environment and properly configured for that environment.

Security Tools

As more vendors enter the market with AI-based cybersecurity solutions and incident response capabilities, companies need to ensure they are using the right tool from the right vendor by asking the following questions:

  • What AI tools does the vendor use to analyze or modify your data?
  • Have the vendor’s AI tools been developed in collaboration with experienced incident response professionals?
  • To what extent are the results generated by AI compared to traditional analysis methods across all solutions?
  • What are the data sources the vendor has used to train and develop their AI tools, and how comprehensive are those datasets?
  • Does the data delivery to the vendor (and for what purposes) comply with applicable privacy laws and/or confidentiality obligations?
  • What limitations exist on the vendor’s ability to use (or continue to use) any provided data?
  • Can sensitive information, confidential information, or trade secrets of the company be prevented from entering the vendor’s AI tools? If not, what measures does the vendor have to protect this information?
  • How are proprietary rights protected in any outputs generated by AI that include or are based on company data?
  • How are the accuracy and completeness of responses generated by AI tools verified?
  • Does the company’s technical team understand how the AI tool functions, including its objectives, training or calibration requirements, and the possibility of monitoring tool implementation?

Threats created by sophisticated AI applications and cutting-edge AI-based solutions for combating these and other cyber threats will continue to grow.

Companies should consider implementing AI-based cybersecurity tools to complement and enhance their prevention and incident response programs. In this process, companies should understand the vendor and tools they acquire to ensure effective, efficient, and compliant implementation.

It is time for companies to harness the power of AI to prepare for the next generation of cyber threats.

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