Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In the last year, generative AI has dramatically accelerated how software is written. Developers can generate entire functions with a prompt, automate repetitive logic, and offload everything from boilerplate code to documentation. But with this newfound speed comes a deeper, more complex challenge: ensuring that what’s being created is secure, trustworthy, and production-ready.

UNC6032 creates fake AI-themed websites, APT41 uses Google Calendar for command and control, and Void Blizzard targets critical sectors.

As data spreads across cloud platforms, SaaS apps, and remote environments, protecting sensitive information has never been more challenging. This is where Data Security Posture Management (DSPM) steps in.

Thanks to a wide range of use cases that automate manual activities, enterprises are rushing to integrate GenAI into their IT stack, only to realize they’ve hit a privacy wall. A concerning number of use cases involve the use of sensitive data like PII and PHI, risking data privacy and compliance. Enterprises today are becoming increasingly aware of these multifaceted risks associated with unfiltered AI usage and turning to the common solution available in the market – AI privacy tools.

Omdia, a global analyst and advisory leader, recently released a report called “How Extended Access Management (XAM) closes the gaps in security.” The report defines the challenges of modern access management as: These unmanaged forms of access create an Access-Trust Gap: The security risks posed by unfederated identities, unmanaged devices, applications, and AI-powered tools accessing company data without proper governance controls.

REST APIs are the arteries of today’s digital ecosystems, silently exchanging data between countless applications, users, and devices. Yet, in the race to protect endpoints, authenticate users, and encrypt payloads, the security nuances of API responses are often overlooked. This oversight leaves a dangerous gap where attackers don’t need to break in; they simply listen, observe, and exploit what’s willingly given away.

In today’s increasingly interconnected digital landscape, APIs have become the invisible backbone of organizational efficiency, enabling data sharing, automation, and business innovation with quiet efficiency. However, as APIs proliferate, so do the vulnerabilities and targeted attacks that threaten to disrupt operations, compromise sensitive information, and damage an organization’s reputation.