Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Optimize your security workflows and deliver intelligence everywhere you work with the largest ecosystem of integrated technology partners in cyber risk ratings. SecurityScorecard provides Application Programming Interface (API) access for all our data allowing you to get more contextual security insights, app integrations, and detailed information about your current or prospective vendors. You can leverage our APIs and Integrations in the following ways.

Over its history Netskope has delivered many tools to integrate its various solutions and findings with Microsoft products. We have built multiple integrations with Azure Active Directory, Azure Sentinel, Azure Monitor, and Azure Blob and Compute. All of these are very helpful in unlocking base or advanced functionality to augment Microsoft solutions.

New insights from cybersecurity artificial intelligence (AI) company Darktrace shows a 135% increase in novel social engineering attacks from Generative AI. This new form of social engineering that contributed to this increase is much more sophisticated in nature, using linguistics techniques with increased text volume, punctuation, and sentence length to trick their victim. We've recently covered ChatGPT scams and other various AI scams, but this attack proves to be very different.

In a groundbreaking move, Italy has imposed a ban on the widely popular AI tool ChatGPT. This decision comes in the wake of concerns over possible misinformation, biases and the ethical challenges AI-powered technology presents. The ban has sparked a global conversation, with many speculating whether other countries will follow suit.

Amazon Security Lake automatically centralizes an organization’s security data from cloud, on-premises, and custom sources it into a purpose-built data lake stored in a customer’s AWS account. Amazon Security Lake reduces the complexity and costs for customers to make their security solutions data accessible to address a variety of security use cases such as threat detection, investigation, and incident response.

As a leader in applying AI to developer security, Snyk’s approach is unique. Today, we want to provide a glimpse at how Snyk currently uses AI and data science, as well as a sneak peek at what’s to come. Before diving in, we want to highlight two aspects of Snyk’s use of AI to set the stage.

In July 2022, we announced Snyk Cloud, extending the Snyk developer security platform to secure application and infrastructure configurations in running cloud environments. Today, we’re thrilled to introduce a new feature of Snyk Cloud that enables you to "fix cloud issues in IaC" (infrastructure as code), making Snyk Cloud the first solution to secure the cloud through code with remediation paths in IaC.

Security teams are using automation solutions more and more to achieve consistent and faster response times. Some of these responses require emails to be sent to various users or groups, and traditional methods of sending emails are outdated and not very secure. Security teams also need the ability to read emails from specific mailboxes, whether that is for automating responses to phishing submissions or something similar.

When ChatGPT debuted in November 2022, it ushered in new points of view and sentiments around AI adoption. Workers from nearly every industry started to reimagine how they could accomplish daily tasks and execute their work — and the cybersecurity industry was no exception. Like shadow IT, new rogue AI tools — meaning AI tools that employees are adopting unbeknownst to the organization they work for — can pose security risks to your organization.