Since the beginning of computers, social engineering has been the number one way that computers and networks have been compromised. Social engineering is involved in 70% to 90% of all successful data breaches. Nothing else is even close (unpatched software and firmware are involved in 33% of successful attacks, everything else is 1% or less).

Analysis of typosquatting and brand impersonation activity across 500 of the most visited domains provides insight in to how these techniques come together to effectively deceive. From February 2024 to July 2024, Zscaler’s ThreatLabz tracked more than 30,000 lookalike domains that impersonated some of the world’s most well-known brands.

Artificial Intelligence (AI) plays a critical role in modern data handling. AI processes vast amounts of data, from personal information to business analytics, at unprecedented speeds. This raises serious concerns about AI and data protection. With AI’s growing capabilities, ensuring the security of personal data is essential. The AI Act aims to regulate AI systems, focusing on responsible data usage. It introduces rules that safeguard user data, complementing existing regulations like GDPR.

A wave of X account hacks has led to the rapid success of a pump-and-dump scheme for the $HACKED Solana token, with users rushing to buy in. High-profile accounts compromised in this attack include MoneyControl (1.4 million followers), People Magazine (7.8 million), and EUinmyRegion, run by the European Commission, with nearly 100,000 followers. Moreover, Computer brand Lenovo’s India division, film director Oliver Stone, Yahoo News UK, and Brazilian soccer player Neymar Jr.

In the Black Hat Network Operations Center (NOC), the conference’s leadership team must assemble best-in-class technologies that complement each other to build and harden an enterprise-grade network in just a few days. Then, the NOC must continuously monitor and adapt the network throughout the course of the conference before dismantling it after the conference concludes.

Insider attacks are growing, whereby 60% of organizations in the past year alone have suffered employee-related data breaches. Surprised? Most businesses get blindsided by the people they put their most trust in. It can be accidental data leaks or malicious actions, but the risk is very real and, regrettably, on the rise. It’s no longer a matter of “if,” but rather “when” an insider threat could compromise your organization’s most sensitive data.

Adversaries exploit security blind spots and sneak through traditional defenses to craft attacks that impact your operations, or even worse, your reputation. One recent example is the Revival Hijack supply-chain attack, where threat actors registered new PyPi projects with names of previously deleted packages. One way to counter this imminent threat is to “shift left,” or take ownership of the code’s security posture earlier in the development process.

Kubernetes today is the de facto standard for container orchestration, deployment automation, scaling, and management of containerized apps. The robustness and scalability of this open-source platform make it a valuable tool for businesses leveraging cloud-native technologies and DevOps practices. However, as with any technology that handles sensitive data and crucial operations, the importance of security in Kubernetes environments can’t be overstated.