Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

At some point, every enterprise faces the same quiet operational nightmare: hundreds of users, thousands of devices, multiple locations, and someone in the IT department manually managing who gets access to what. Active Directory (AD) was Microsoft's answer to that problem when it shipped with Windows 2000, and it remains, over two decades later, the dominant identity and access infrastructure in enterprise networks worldwide.

It is more important than ever to keep your data secure. Malware, ransomware, and attacks on cloud-based assets pose a constant threat to businesses as more sensitive data moves to the cloud. A report by Cybersecurity Ventures projected global cybercrime costs to reach $10.5 trillion annually by 2025. Data breaches, ransomware, fraud, and operational disruption are major contributors to cybercrime losses.

As cyber threats targeting critical infrastructure continue to evolve, the energy sector remains a prime target for malicious actors. Protecting the electric grid requires a strong regulatory framework and robust cybersecurity monitoring practices. In the United States, the Federal Energy Regulatory Commission (FERC) and the North American Electric Reliability Corporation (NERC) play key roles in safeguarding the power system against cyber risks.

An AI agent with access to a customer’s brokerage account can begin executing trades. Not because the customer asked. Because someone, somewhere upstream, slipped a hidden instruction into a tool the agent loaded at startup. The agent is doing exactly what it was told. Just not by the customer. This is not a hypothetical. It is the attack class that financial security teams have exactly zero legacy tooling to catch and it is arriving precisely as banks accelerate their agentic AI ambitions.

If everyone owns cybersecurity, no one really owns it.

Phishing attacks are evolving faster than traditional training programs can keep up. Advances in AI — including generative tools — are making attacks more dynamic, personalized, and harder to detect. At the same time, agentic AI for phishing security training is reshaping how programs improve, enabling them to adapt to user behavior and shifting risk in real time.

When the weather starts to get warmer, it is a sign that summer time is around the corner. But just as the weather heats up and travel plans get booked, scammers capitalize on the season by performing nefarious schemes to separate victims from their money and other valuables. Recent McAfee research found that more than one in three Americans have experienced a travel-related cyberthreat, with 41% of those affected losing money, often costing victims over $500.

Organizations continue investing heavily in cybersecurity tools, yet many security operations centers (SOCs) still struggle with alert fatigue, investigative delays, and inconsistent response outcomes. The issue is not necessarily a lack of technology. In many environments, it is the opposite. As security stacks expand, operational complexity often expands with them.

Small and medium businesses are increasingly exposed to email-based attacks that rely on compromised accounts and trusted communication patterns. In a typical business email compromise scenario, attackers gain access to an executive’s email account and monitor communication over time. This allows them to understand how financial requests are handled and when key individuals are unavailable. At the right moment, they send emails that appear legitimate.