Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The B2B landscape has seen a rapid shift towards digitalization, which makes cyber exposure management increasingly critical for companies in every sector and across all geographies. A pivotal aspect of managing cyber exposure is the ability to quantify the impact of cyber risks, which is traditionally a laborious task. This article describes how data integration is the key to unlocking quick and accurate cyber risk financial quantification.

Digital infrastructure is the foundation of a modern, connected organization. It encompasses connectivity, cloud, compute, security, storage, applications, databases, IoT, remote networks, and more. Once housed on premises, this infrastructure now extends across regions, offices, work-from-anywhere environments—and across the third-party providers who make digital transformation possible. Securing this digital infrastructure is a growing challenge.

The other week, Bitsight released a piece of high-profile research alerting the public to a high-severity vulnerability potentially allowing attackers to launch one of the most powerful Denial-of-Service (DoS) attacks in history. Here’s a summary of what happened and why it matters: Security leaders are asking “now what?” and Bitsight has answers.

Open-source software has been a godsend for the development community. They bring lower development costs, faster application delivery, and greater flexibility; it’s no wonder nearly 90% of modern applications comprise third-party software nowadays. That’s not to say open-source software doesn’t come with its share of pitfalls, including security risks and vulnerabilities.

The public sector is critical to national and international security. Yet, new research from SecurityScorecard and the Cyentia Institute found that 61.6% of public sector agencies have open cyber vulnerabilities, taking a median of 309 days to remediate. What’s more, 53% of public sector agencies are losing ground closing their cyber vulnerabilities, due in large part to a greater reliance on third-party vendors with less-than-optimal cybersecurity hygiene.

Market pressures and growth opportunities are accelerating digital transformation. According to Gartner, 89 percent of board directors say digital is embedded in all business growth strategies. Meanwhile 99 percent say that digital transformation has had a positive impact on profitability and performance (KPMG). The cloud, connected IoT devices, and remote work capabilities are the cornerstones of digital transformation.

Co-authored by David Willis and Gary Jenkins As we wrote in an earlier blog, the concept of cybersecurity risk continues to be codified, qualified, and, finally, quantified. With the rise of RESTful API endpoint support and near-real time telemetry sharing, companies can seize the opportunity to automate the IT/security stack’s response to risky users (in addition to devices, data, and applications—to be covered in future blogs).

The number and complexity of software vulnerabilities is continuously growing. The ability of development and security teams to assess the threat level a given vulnerability poses and prioritize fix efforts accordingly greatly depends on access to as much context as possible about the vulnerability.

Cyber risk governance (also called cyber risk governance or governance, risk, and compliance — GRC) and cyber risk management are often used interchangeably, but they are actually very different parts of the way an organization achieves data protection. While cybersecurity risk management focuses on implementing cybersecurity controls, cyber risk governance is more concerned with the strategy behind that implementation.

When a hacker breaches a network or system, data exfiltration often follows. But what is data exfiltration and how can you prevent it?