Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Machine learning (ML) and AI tools raise concerns over mis- and disinformation. These technologies can ‘hallucinate’ or create text and images that seem convincing but may be completely detached from reality. This may cause people to unknowingly share misinformation about events that never occurred, fundamentally altering the landscape of online trust. Worse – these systems can be weaponised by cyber criminals and other bad actors to share disinformation, using deepfakes to deceive.

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.

In a significant cybersecurity incident, Cencora, a leading pharmaceutical services provider, experienced a data breach in February 2024, exposing sensitive patient information from 11 major pharmaceutical companies. This breach underscores the critical importance of robust enterprise risk management, vulnerability management, and endpoint security in protecting sensitive data and managing online reputation.

In our global study of the CISA KEV Catalog, we uncovered widespread vulnerabilities and the swift pace at which threats evolve. As we dissect the layers of data from the report, it becomes evident that each country's unique approach to cybersecurity regulation, vulnerability management, and remediation presents distinct challenges and opportunities.

Starting from basics, what is the Cybersecurity meaning, what does cyber security do, what is the importance of cybersecurity. There are thousands of definitions out there, but the most common one refers to the organisation’s ability to protect itself from online attacks.

In navigating the complex landscape of regulatory compliance and risk management, India's banking sector faces unique challenges, particularly in meeting directives outlined by the Reserve Bank of India (RBI) and the Indian Computer Emergency Response Team (CERT-In). As organizations strive to adhere to these stringent requirements, Elastic Observability emerges as a powerful ally, offering advanced log analytics capabilities tailored to address regulatory mandates and mitigate operational risks.

Across today’s interconnected business landscape, organizations are increasing their reliance on third-party vendors and service providers to streamline operations, reduce costs, and access specialized services and expertise. This increased dependency on third parties introduces significant organizational risks, including data privacy violations, operational disruptions, reputational damage, supply chain attacks, and devastating data breaches.

With third-data breaches and their subsequent financial impacts on the rise, Third-Party Risk Management is becoming a non-negotiable inclusion in an organization’s cybersecurity strategy. For those new to this risk management area, this post outlines a high-level framework for applying TPRM principles to a third-party risk context. Learn how UpGuard streamlines Vendor Risk Management >