Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In a world where internet connectivity intersects with just about every facet of our physical world—from cameras and door locks to power grids and factory robots—cyber risk intelligence has moved well beyond just protecting the bits and bytes of logical IT ecosystems. Security and risk professionals also have to be on the lookout for and aware of improperly secured cyber physical devices, like IoT devices, which greatly expand the enterprise attack surface.

We’ve come a long way. We’ve deconstructed the problem, explored the complexity of humans, and laid out a strategic framework and a practical map—all of which can be explored in more detail in our Human Risk Management (HRM) whitepaper. Now for the final piece of the puzzle: the engine. A strategy this dynamic and personalised can't run on spreadsheets and manual effort alone. It needs to be powered by an intelligent, integrated platform.

Traditional vulnerability management once centered on scanning, enumerating, and remediating … and then repeating the process. In contrast, today’s enterprise attack surfaces shift by the hour. Cloud assets spin up and down. Business units deploy new SaaS tools overnight. Adversaries weaponize proof-of-concept exploits in days, or sometimes hours. Static, reactive processes can’t keep up.

Misconfigurations in storage and encryption settings can put your mobile apps at risk, but so can social engineering attacks. Mobile devices are powerful productivity tools, enabling your staff to work from almost anywhere. They can also be security risks, sharing sensitive data outside of a tightly controlled office environment. If smartphones and tablets are integral to your organization’s day-to-day workflows, a mobile application security assessment should be part of your cybersecurity strategy.

As AI becomes more user-friendly and performance-focused, organizations are increasingly adopting it into their systems to streamline elaborate workflows. However, the rapid pace of adoption means that teams often implement AI models before fully mapping the security and compliance implications that they bring. ‍ According to Vanta’s State of Trust Report, more than 50% of organizations view AI risks as a growing concern today.

At Bitsight, one of the responsibilities of the Vulnerability Research team is to develop fingerprinting methods to not only identify exposed services, but also vulnerabilities in those services. When it comes to detecting vulnerabilities, there are increased challenges depending on the complexity of both the vulnerability and the vulnerable service.

At Bitsight, one of the responsibilities of the Vulnerability Research team is to develop fingerprinting methods to not only identify exposed services, but also vulnerabilities in those services. When it comes to detecting vulnerabilities, there are increased challenges depending on the complexity of both the vulnerability and the vulnerable service.

Here’s the reality: Most organizations are drowning in threat alerts, vulnerability reports, and security incidents. Security teams can’t tackle everything at once, yet the leadership keeps asking “What should we prioritize?” Without proper risk scoring, you’re essentially playing cybersecurity roulette with your business assets.

Third-party attacks have emerged as one of the most critical threats in the modern cyber landscape. Adversaries increasingly exploit vulnerabilities within external vendors, suppliers, contractors, and service providers to gain indirect access to target organizations, often with severe consequences. These breaches can lead to significant data loss, operational disruption, regulatory penalties, and reputational damage.