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.
The reduction in CISA’s budget and workforce comes at a time when cyber threats are increasing in volume and sophistication. Private sector teams and state and local agencies must now take the lead in defending their assets.
Artificial intelligence (AI) has rapidly emerged as the double-edged sword of the cyber threat environment. Sophisticated AI models now serve as both potent tools for attackers and vulnerable hinge points for organizations girding against intrusions.
As employees embrace SaaS tools, often without oversight or approval, the guardrails that once protected company data are starting to feel the pressure. Shadow IT, security blind spots, and compliance gaps have become the new norm, and for many organizations, the risks are far outpacing their ability to keep up.
