Key Takeaways
- Enterprises must have a robust understanding of evolving cyber threats in a rapidly digitizing world
- AI deepfakes, malicious AI attacks, and AI system vulnerabilities pose significant security risks
- Quantum computing and emerging technologies like DNA-based data storage and cybernetics will introduce new security challenges
- Security teams must prioritize immediate, medium-term, and long-term threats to stay ahead of adversaries
- Collaborating with security partners and leveraging their expertise can help organizations assess and prepare for far-off risks
Introduction to Evolving Cyber Threats
Enterprises operating in a rapidly digitizing world must also have a robust understanding of how cyber threats are evolving. The increasing use of artificial intelligence (AI) has led to the creation of convincing deepfakes that can be used for malicious purposes, such as CEO and CFO fraud. Furthermore, malicious actors are using AI to find vulnerabilities and make their attacks harder to detect. Additionally, AI systems themselves pose security risks, with research by Foundry showing that security and privacy are the most pressing ethical issues around generative AI deployments. As technology continues to advance, new threats will emerge, and enterprises must be prepared to address them.
The Three Horizons of Emerging Threats
According to Martin Krumböck, CTO for cybersecurity at T-Systems, security teams can form a clearer view of emerging threats by dividing them into three timescales, or "horizons". The first horizon is the "here and now", which includes classical infrastructure security and is an immediate priority. Many enterprises still have gaps in cloud security and are not yet ready for AI, despite its rapid adoption. The second horizon includes medium-term threats, such as the shift to post-quantum cryptography and threats to blockchain technology. The third horizon includes long-term risks, such as those posed by emerging disciplines like DNA-based computing technology. By understanding these three horizons, security teams can prioritize their efforts and stay ahead of adversaries.
The Risks of AI and Emerging Technologies
AI poses significant security risks, including deep fakes, attacks on training data for large language models (LLMs), prompt injections, and direct attacks on models themselves. These threats are not yet at the forefront of thinking, but they will become increasingly important as AI becomes more widespread. Additionally, emerging technologies like DNA-based data storage and cybernetics will introduce new security challenges. For example, DNA storage becomes a huge information security risk because it’s so small and can be easily implanted somewhere or used to smuggle data out. While these risks may seem like science fiction, they may become a reality in the near future.
Planning for Emerging Threats
Security and IT leaders need to plan for emerging threats and inform their boards. One trusted method is to test new technologies through small trials, which helps understand the organization’s risk appetite alongside the benefits of innovation. However, few enterprises can employ dedicated teams of security researchers and futurists to assess far-off risks. Instead, organizations can work with their security partners, leverage their expertise and scale to look over the horizon. By doing so, they can stay ahead of adversaries and prepare for the security challenges of the future.
The Importance of Collaboration and Research
Collaborating with security partners and leveraging their expertise can help organizations assess and prepare for far-off risks. As one of the largest enterprises in its sector, Deutsche Telekom and T-Systems have the scale to invest in forward-looking security research and translate that intelligence into information and advice that boards can understand and act on. This allows them to defend their own telecommunications network and protect their end customers. By working together and sharing knowledge, organizations can stay ahead of the evolving cyber threats and ensure the security of their systems and data.
Conclusion
In conclusion, enterprises must have a robust understanding of evolving cyber threats in a rapidly digitizing world. By prioritizing immediate, medium-term, and long-term threats, security teams can stay ahead of adversaries. Collaboration with security partners and leveraging their expertise can help organizations assess and prepare for far-off risks. As technology continues to advance, new threats will emerge, and enterprises must be prepared to address them. By staying informed and proactive, organizations can ensure the security of their systems and data, and protect themselves against the evolving cyber threats of the future.