In life, we’ve all encountered the gaps between the idealized world and the world as it is.

The Sarbanes-Oxley Act of 2002 (SOX) was enacted to restore public confidence in the wake of major corporate and accounting scandals. The legislation aims to protect investors by improving the accuracy and reliability of corporate disclosures made pursuant to the securities laws. One key aspect of SOX compliance is ensuring the integrity and security of financial data. In the digital age, cybersecurity practices play a crucial role in adhering to SOX requirements.

The introduction, adoption, and quick evolution of generative AI has raised multiple questions about implementing effective security architecture and the specific requirements for protecting all aspects of an AI environment as more and more organizations begin using this technology. Recent security reports on vulnerabilities that expose Large Language Model (LLM) components and jailbreaks for bypassing prompting restrictions have further shown the need for AI defenses.

The role of vulnerability management has never been more critical, especially as professionals in the field face the daunting task of securing entire organizations with minimal budget and headcount.

Two major organizations breached in 2023 — MGM Resorts and 23andMe — have one part of their hacks in common: identity. Initial access in the 23andMe breach came from credential stuffing, and it was a lack of access control that allowed the threat actors to move deeper into the organization, ultimately exfiltrating data from millions of user accounts.

As global network infrastructure expands to include devices without traditional compute power, every organization’s attack surface becomes increasingly complex. Parallel to the increased complexity in the threat landscape is the increased scale and complexity of the signals and data necessary to produce meaningful cybersecurity insights. At its core, cybersecurity is a big data problem, requiring centralization of disparate data sources in uniform structure to enable continuous analytics.

Quasar RAT, also known as xRAT, is a malicious remote access trojan (RAT) that primarily targets Windows systems. Developed as an open-source project around 2015, it quickly garnered attention in the cybersecurity community due to its flexibility and ease of modification. Quasar RAT allows cybercriminals to gain unauthorized remote access to infected computers, making it a potent tool for espionage and theft. How Quasar RAT Operates.

Agents can be a pain, we know! From deployment, to managing upgrades, dealing with agent conflicts, and responding to user complaints, we know security teams would rather achieve their objectives without an endpoint agent. But, when it comes to securing your company’s data, there are certain use cases that can only be achieved with an endpoint agent.

After economic headwinds caused a downswing in corporate mergers and acquisitions, analysts are projecting an increase in activity in the second half of 2024. This uptick in activity, however, will feature different trends due to the current economic and regulatory climate, with big implications for information security. Read on to learn more about projected shifts in acquisition strategy and the implications for information security!