Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Anyone remotely wired into technology newsfeeds – or any newsfeeds for that matter – will know that AI (artificial intelligence) is the topic of the moment. In the past 18 months alone, we’ve borne witness to the world’s first AI Safety Summit, a bizarre and highly public leadership drama at one of the world’s top AI companies, and countless prophecies of doom. And yet, even after all that, it seems businesses have largely failed to take meaningful action on AI.

Have you ever wondered how Artificial Intelligence (AI) could mimic consciousness and autonomously control various tasks? It sounds rather daunting. However, it may not be as intimidating as it seems under the right conditions. Moreover, Would AI perform tasks independently in the same manner as humans? And what implications does this hold for cybersecurity? In the present day, we are observing the rise of self-driving cars that operate with minimal human input.

As cybersecurity leaders try to get ahead of threats to their organization, they're increasingly seeking ways to get off the hamster wheel of chasing countless CVEs (common vulnerabilities and exposures). The brass ring that most CISOs reach for today is prioritization of exposures in their infrastructure (and beyond), so their teams can focus on tackling the ones that present the greatest risk. In some cases, the highest priority exposures will still be critical CVEs on mission critical assets.

While often considered a newer threat, and rightly so given its fast-rising dominance among the cybercrime landscape, ransomware is not a recent innovation in the ongoing cyber war. It stretches back decades to the early days of the internet, email, and even floppy discs.

Today, the average application contains thousands of moving parts. Organizations deploy to multi-cloud environments with containers and microservices, using a combination of code written by internal teams, generated by AI, and curated by third parties. Security teams face a tall order in keeping these complex applications secure, especially given the increasing number of software supply chain attacks.

Cybersecurity researchers are ringing the alarm on new phishing campaigns exploiting Cloudflare Workers, HTML smuggling, and generative AI (GenAI) to target user credentials. These innovative techniques highlight the sophisticated strategies cybercriminals are deploying to bypass security measures and harvest sensitive information.

In an alarming revelation, First American Financial Corporation, the second-largest title insurance company in the United States, disclosed that a cyberattack in December resulted in a significant data breach affecting 44,000 people. This incident underscores the importance of robust cybersecurity measures and services such as phishing takedown, online risk evaluation, stolen credentials detection, and darknet monitoring.

With cyber threats constantly evolving, organizations must ensure that their approach to identifying and mitigating vulnerabilities is always up to date. Purple teaming can play a vital role in helping them to achieve this. Purple teaming involves red and blue teams collaborating on an ongoing basis to maximize their impact. Read on to discover how purple teaming enables businesses to enhance and accelerate their approach to identifying and mitigating security vulnerabilities.

Remember Wireshark from the good old days of your IT degree or early engineering adventures? Well, guess what? It’s still kicking and just as relevant today as it was back then, and guess what else? It is still open source! Do your engineering or security teams use it? There’s a good chance they do if you’re on-premises. Believe it or not, Wireshark isn’t just for the land of wires and cables anymore. With some help from Falco and Kubernetes, it has a place in the cloud SOC.