Criminal gangs behind ransomware attacks will continue to adapt their techniques to maximize their returns. They are increasingly using novel tactics to circumvent traditional security solutions and one of the most significant shifts is that attacks involving data exfiltration are now the norm.
Organizations that adopt Zero Trust Architecture will see an improvement to security, and are also more attractive to insurers and can more easily meet regulatory compliance requirements. But getting started with adoption is often the biggest challenge.
The increasing prevalence of AI is creating a more dangerous phishing environment for companies of all sizes. A single hacker can now generate as much as 100 times more malicious content than they could previously.
Implementing a solution to identify and manage automated traffic can help organizations more effectively address the problem of web scraping and the countless other challenges associated with bad bots.
In order to respond to cyber attacks, enterprises must invest their time and resources into efficiently training their teams and improving their organizational cyber resilience with the help of effective cyber exercises.
As we step into 2024, the IAM landscape continues to evolve. Decentralized identity, identity data engineering, and the integration of analytics and generative AI stand as pivotal pillars that will shape the success of IAM strategies in the coming year.
By fostering a culture of continuous improvement that thinks outside the box of compliance, IT teams and security leaders can feel confident in their cybersecurity resilience.
With the widespread availability of ChatGPT and other Generative AI applications today, research shows a 135% increase in ‘novel social engineering’ attacks in January and February of 2023 alone.
Embracing continuous exposure management allows businesses to proactively manage their cybersecurity posture, prioritize critical exposures, and maintain a comprehensive view of their attack surface.
The future of data is not about how much we collect, but how ethically it is used and how we can realistically safeguard it so that we get the best out of AI without violating data privacy tenets.










