Increased ransomware attacks on industrial control systems (ICS), mixed with general ICS insecurity found across the manufacturing sector, has given rise to a guide specifically addressing this risk. Manufacturing has been a target of ransomware for quite some time — I’ve even covered a recent attack focused on credential harvesting.

Today’s threat landscape is defined by adversaries’ increasing speed and quickly evolving tactics. Now more than ever, it is imperative organizations unify and accelerate their security operations to detect, identify and respond to threats at the rapid pace of the adversary. This isn’t always straightforward.

This is the third article in a series about cloud-based attack vectors. Check out our last article about Cloud-Based ransomware! As Identity Access Management (IAM) becomes more complex, it becomes possible for an attacker to exploit the capabilities of legitimate permissions alone or in combination, escalating privileges and gaining potentially devastating levels of access. Because these privileges are legitimate, these attacks can be difficult to detect until the damage is already done.

Are your legacy technologies slowing down your security operations? You’re not alone. Seventy percent of critical incidents take over 12 hours to resolve. Legacy SIEMs burden security teams with endless manual processes and agonizingly slow search speeds, delaying investigation and response while increasing the risk of a breach. The future of security requires next-gen SIEM technology built for scale and speed, powered by automation and AI.

‍In response to the growing number of disparate cyber regulations across its member states, resulting in inconsistent cybersecurity practices, the EU drafted Directive 2022/2555, more commonly known as NIS 2. This sweeping directive, officially in effect in October 2024, aims to ensure a more uniform, proactive approach to cyber risk management across the union in the face of an interdependent market and increasingly costly risk landscape.

In a time when everything said, whether factual, fake, or AI-created, may be recorded and posted on the internet, it’s more important than ever to ensure that what was recorded accurately represents a point in time. When someone claims you said, “I was Smoking on a flight, watching Star Wars, the best special effects movie of all time,” was that a false claim? Did they include the date and the context?

As new threat vectors emerge and cybercriminals leverage sophisticated technologies to orchestrate more targeted attacks, staying ahead of threats is more challenging than ever. We are excited to announce the launch of a new managed security service designed to protect highly regulated data and help ensure critical services are efficiently delivered.

Securing virtual identities and entry points has become a critical priority as cyber threats grow more sophisticated. A Single Sign-On (SSO) system offers ease and allows multi-functionality with a single set of identity verification, but they are enticing targets for cyber attackers. Organizations need Zero Trust Architecture to alleviate this risk. Zero Trust Architecture (ZTA) is a protection framework that is designed on the principle of never trust and always verify.

In the past, organizations could control how, when, and where their employees accessed sensitive data. Now, in the age of hybrid and remote work, employees can connect to company networks from any location over nearly any device. Safeguarding data while granting employees the access they need is a delicate balance. That’s where zero trust remote access solutions come into play.

Generative AI (GenAI) has the power to transform organizations from the inside out. Yet many organizations are struggling to prove the value of their GenAI investments after the initial push to deploy models. “At least 30% of GenAI projects will be abandoned after proof of concept by the end of 2025, due to poor data quality, inadequate risk controls, escalating costs or unclear business value,” according to Gartner, Inc.