While AI and Quantum may be powerful tools, don’t get distracted. As organizations race to unlock their potential, it’s easy to lose sight of the basic truth: your cybersecurity foundation matters more than ever.
As artificial intelligence (AI) and low code continue to have a profound impact on modern-day software development, there are some under-acknowledged consequences organizations should be aware of, including an invisible shift in risk management and regulatory compliance.
For most organizations, especially small and mid-market businesses, tracking who is behind an attack delivers far less value than understanding what attackers are doing and how to defend against it.
Where encryption was once the central aim of ransomware attacks, it has now been relegated to a supporting role, and data exfiltration has become the weapon of choice.
Upgrading to the “latest and greatest” technology isn’t always feasible for businesses, given the cost and disruption involved in constantly changing processes and switching solutions. So how can today’s organizations better understand when it makes sense to upgrade—and when it doesn’t?
Sysadminds need clarity, not clutter – and right now their systems are getting backlogged with excessive false positives. This is where implementing a vulnerability assessment solution that has the built-in intelligence for in-memory patch awareness comes in.
As the race for real-time data access intensifies, organizations are confronting a growing legal and operational challenge: web scraping. What began as a fringe tactic by hobbyists has evolved into a sophisticated, multibillion-dollar ecosystem driven by commercial data aggregators.
When surveys show that 70% of SOC analysts experience burnout that adversely impacts their home lives, and 24% of CISOs are actively looking to leave their positions, we can't afford to dance around this topic or sugarcoat our reality.
In today’s threat landscape, security professionals aren’t short on signals. Rather, they’re drowning in them. From endpoint telemetry to user activity to cloud platform events, we’re collecting more indicators than ever before. Despite the volume of alerts, or perhaps because of them, organizations still struggle to detect threats early and accurately.
As government agencies and critical infrastructure sectors increasingly adopt Internet of Things (IoT) devices to enhance operational efficiency, they inadvertently expand their attack surfaces. Proliferation of wireless technologies introduces significant new vulnerabilities.
