Adobe Experience Manager (AEM) Forms on Java Enterprise Edition (JEE) has suffered two critical vulnerabilities CVE‑2025‑54253 and CVE‑2025‑54254 disclosed in early August 2025. According to Adobe, both flaws carry public proof-of-concept (PoC) exploits, though there are no known in-the-wild attacks as of today.

As organizations move to the cloud, ensuring robust data security and privacy controls has become a top priority. Encryption is crucial for any organization’s cloud security and data sovereignty strategy; however, who controls the encryption keys can significantly affect the effectiveness of these measures.

Account takeover (ATO) is one of the most consistent and costly threats facing consumer-facing businesses in 2025. And this year, the problem has been supercharged by the Mother of All Breaches (MOAB), a credential leak containing 16 billion username and password combinations. It rarely begins with a breach of your own systems. More often, it starts with someone else’s data leak. Credentials are reused, recompiled, and redeployed across platforms you may not even realise are vulnerable.

Lawyers and law firms are slowly seeking the benefits of cloud storage to help manage client data, share files securely, and keep important data backed up. In 2024, approximately 75% of attorneys used cloud storage for work-related tasks, up 6% from 2023. So, as lawyers start to adopt cloud storage, they may be wondering what the most secure cloud storage is for law firms.

Artificial intelligence (AI) is not a new concept or technology in the world of cybersecurity. It’s been iterated and utilized by security professionals for decades. But as both cybersecurity technology and cyber threats continue to advance, AI is being adopted by organizations at a rapid pace, all of whom seek to harness AI’s power to automate, advance, and empower their security.

Enterprises deploying AI agents and LLMs often look to prompt scanning as their first line of defense against privacy and security breaches. The idea is simple: analyze the text of the user’s prompt before it reaches the model, detect it for sensitive keywords or patterns, and block the sensitive words that may trigger a security or compliance issue. Enterprises thought this was a safe around, till they walked into unexpected issues.