With growing adoption of zero trust, CISOs must look at all possible blind spots across the organization, be that unmonitored IoT devices or third-party systems, to ensure attackers can’t find a way in.
For those hoping to avoid the pay-or-not-to-pay ransomware dilemma, there are three things to focus on that can help CISOs: create incident response plans, improve cybersecurity posture, and invest in robust backups.
Growing use of APIs give attackers more ways to break authentication controls, exfiltrate data, or perform disruptive acts.
Rapid growth and development of AI is pushing the limits of cybersecurity and CISOs must take charge now to be ahead of a range of risks including data leak, compliance and prompt injection attacks.
A recent report found that companies with cyber insurance have been hit by ransomware more than those without it, and sometimes more than once. Although threat actors may not be directly correlating the insurance factor to find targets, one of the reasons for this may be that as insurers require more from companies those able to pay for insurance are also likely to be able to afford bigger ransoms.
Siemens us chief cybersecurity officer Helen Negre discusses how the organization is focusing on zero trust to ensure the security of internal systems across its different lines of business.
How to stay ahead of attacks by learning about the risks of AI-based search engines, what skill sets are needed to defend systems and ensuring employees can learn to use AI tools safely without inviting attackers in.
The Microsoft-backed free chatbot is improving fast and can not only write emails, essays but can also code. ChatGPT is also polyglot and that could facilitate and increase exponentially phishing attacks.
The virtual representation of objects or systems through digital twins provide organizations greater insight into their assets but it can also invite malicious actors.
Open RAN enables interoperability among hardware, software, and interfaces used in cellular networks but also changes their attack surface.
Mistakes when implementing identity and access management systems, especially during upgrades, can have lasting effects. Here’s how to spot and avoid the worst of them.
Threat actors have several ways to fool or exploit artificial intelligence and machine learning systems and models, but you can defend against their tactics.
Machine learning algorithms will improve security solutions, helping human analysts triage threats and close vulnerabilities quicker. But they are also going to help threat actors launch bigger, more complex attacks.
Managing machine identities can be just as important as managing human identities, especially in a zero-trust environment.
Open source software plays a key role in keeping data centers secure. Here are just a few projects making a difference.
