Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Struggling with login restrictions on Shopify B2B stores? Learn how to enable custom authentication for Shopify B2B customers and support multiple login methods (Email-Password, Phone-OTP Login, Social Login, Single Sign-On, etc.) for Shopify Customer Accounts with miniOrange solutions.

Attackers stole OAuth tokens tied to the Salesloft Drift integration, then used those valid tokens to call Salesforce APIs and export data. This is token abuse via a third-party Connected App, not a core Salesforce bug. Focus your response on governance and validation: revoke and rotate, re-enable with least privilege, and use Salesforce Event Monitoring to verify detections. What happened.

In today’s data-driven world, CISOs and senior leadership need to prove that their security programs mitigate risk. Just like grades theoretically quantify how well students understand material their teachers present, cybersecurity metrics quantify your security controls’ effectiveness. As the threat landscape becomes more complex, security teams struggle to identify the metrics that best showcase their value.

A single cyberattack or system outage can threaten not just one financial institution, but the stability of a vast portion of the entire financial sector. For today’s financial enterprises, securing dynamic infrastructure like Kubernetes is a core operational and regulatory challenge. The solution lies in achieving DORA compliance for Kubernetes, which transforms your cloud-native infrastructure into a resilient, compliant, and secure backbone for critical financial services.

Most insider threats do not start with intent; they start with exceptions, such as: These are not always acts of malice, but they create cracks that attackers can exploit. Because they look like “normal” activity on laptops and workstations, IT often does not see them coming. In simple terms, an insider threat is any risk that comes from people inside your organization, be they employees, contractors, or partners, with legitimate access to systems and data.

If you think AI-generated code is saving time and boosting productivity, you’re right. But here’s the problem: it’s also introducing security vulnerabilities at an alarming rate. Our latest research reveals that 45% of AI-generated code contains security flaws, turning what should be a productivity breakthrough into a potential security nightmare.

Cybersecurity isn’t a one-off battle. It’s a daily war fought on multiple fronts. Despite this, many security teams have been defending their organizations without cohesive visibility. Isolated security tools present a disjointed defense, one that is still fighting yesterday’s battles, but not today’s cyber threats.

There’s a lot of noise right now about what AI will become. Everyone has a prediction.

This was not a brute-force intrusion, the attackers persuaded or tricked systems into granting long-lived access, then quietly exploited that trust.

Picture this: You’re having your morning coffee when your phone buzzes with the kind of alert that makes security professionals break into a cold sweat. A single API key, leaked on GitHub months ago, has just given attackers a VIP pass to your entire infrastructure. Sound familiar? It should. The 2024 U.S. Treasury breach started exactly this way. One compromised machine identity opened the floodgates.