With AI now being used by adversaries to reverse-engineer patches and generate exploits in hours rather than weeks, our old Patch Tuesday rhythm is essentially an open invitation to hackers. The truth is, the patching gap is a competitive weakness. If we want to protect our organizations without drowning our teams in manual toil, we have to stop treating patching as a checklist and start treating it as a dynamic, intelligent discipline. Here is how we’re rethinking the vulnerability situation.
Today’s business technology is like operating in the wild west. It’s expansive, fast-moving, and if you aren’t careful, it can gallop away from you before you even realize it’s gone. Between SaaS sprawl, underutilized hardware, and hidden maintenance fees, many companies are overspending by 20-to-30 percent on their entire technology stack. That’s a lot of money. It’s time to saddle up and start earning some savings. Today, we wanted to give you a guide of sorts that can help you round up your expenses and bring your technology budget back under control.
Cyberthreats are no longer rare occurrences; they are constant, evolving, and frequently highly sophisticated. This reality makes a proactive approach to cybersecurity absolutely essential. Organizations that only react to attacks find themselves perpetually engaged in damage control. Failing to establish a deliberate, comprehensive cybersecurity strategy exposes any organization to repeated breaches, critical data loss, and ultimately, a loss of customer trust that can lead to financial collapse. This overview details why addressing these persistent risks is critical for the success of any contemporary business.
What was the scariest Halloween costume you saw last week? Chances are we know something scarier—the cyberthreats that want to take your business down. Let’s go over some of the most common threats to your business’ future and what your business can do about them.
One of the most common criticisms of generative AI tools is that they often “hallucinate,” or make up information, making them somewhat unreliable for certain high-stakes tasks. To help you combat hallucinations, we recommend you try out the following tips in your own use of generative AI. You might find that you get better, more reliable outputs as a result.