Compliance | Breaking Cybersecurity News | The Hacker News

According to research by IBM, organizations use an average of 83 separate security solutions. It is hardly surprising that 52% of security professionals identify complexity as the biggest impediment to effective operations. For IT and security leaders in mid-market organizations, who know they have gaps in security coverage, this challenge can feel particularly difficult to solve. At Bitdefender , we see this challenge play out consistently across mid-market environments. Most organizations have the fundamentals in place, such as Endpoint Protection Platforms (EPP), email filtering, and patch management. However, many are not fully realizing the capabilities of these existing tools. This creates security gaps and, when combined with a lack of preventative exposure management controls, severely limits visibility across attack surfaces. Maximize Your ROI: Exploit Underused Tools Many mid-market organizations already have powerful Endpoint Detection and Response (EDR) in place as part...

Open-source intelligence (OSINT) was once a discipline primarily associated with criminal investigations and national intelligence work. Today, it has become a critical pillar in a wide range of corporate and operational processes from internal investigations and fraud detection to KYC, third-party validation, and due-diligence assessments. However, despite this shift in importance, OSINT is still frequently performed in an ad-hoc manner: how data is collected, how evidence is preserved, and operational security mechanisms often depend on individual habits rather than standardised practice. In many cases, investigations are even conducted directly from managed corporate devices, putting both the integrity of the intelligence operation and the wider enterprise network at unnecessary risk. This lack of standardisation introduces operational, security, and compliance risks that many organisations do not fully recognise until something goes wrong. Operational Risk Glazer is a sandboxed...

Employees are increasingly using personal AI tools, AI-powered extensions, and emerging agentic browsers to accelerate their work. But unlike sanctioned AI platforms, these tools operate inside the browser runtime, where neither CASBs, SWGs, EDRs, nor DLP solutions have visibility. This has quietly turned the browser into an unmanaged AI execution environment, giving way to a new threat known as shadow AI. Shadow AI isn't just the latest buzzword; it's a serious risk that leaves organizations vulnerable to data loss, cyberattacks, compliance violations, and more.  What is Shadow AI? Shadow AI refers to GenAI-powered tools, browser extensions, and browsers that workers use on their own, without any company vetting or guidance. Different from shadow IT, where unsanctioned apps or devices slip through the cracks, shadow AI lives directly in the browser.  For example, employees might use their personal Claude accounts to work with sensitive company data or work on important pr...

Insider threats are rising in both number and cost, forcing security teams to seek stronger cybersecurity solutions. At the same time, IT teams face more frequent audits and more complex data security requirements. Add to this a distributed workforce and third-party contractors, and it's clear why managing privileged access and monitoring user activity is so challenging.  Modern cybersecurity solutions must offer streamlined access management, complete oversight of user activity within your network, and a privacy-first approach to monitoring. This article offers practical tips on enhancing your cybersecurity strategy by addressing these three pillars. We'll also explore how Syteca's new release can help security leaders protect sensitive data, secure access, and improve audit readiness without IT overhead.  Monitoring User Activity while Preserving Their Privacy Keeping a close watch on user actions is critical for insider threat defense, but it raises a dilemma: "...

The proliferation of AI agents in the enterprise has moved from theoretical to practical at a remarkable pace. These agents, whether developed internally or licensed, are increasingly integrated into core business workflows. While they promise substantial gains in automation and productivity, they also introduce a new and complex class of security risks that demand immediate attention.  The core challenge is not whether to adopt AI agents, but how to govern them effectively. A disciplined approach to balancing innovation with security is essential for any organization looking to leverage AI without exposing itself to unacceptable risk.  Recent research highlights the urgency of this issue. A comprehensive study found that 82% of companies are already using AI agents, with 53% acknowledging they access sensitive information daily . This rapid adoption, often occurring without adequate oversight, creates significant vulnerabilities. The imperative is clear: organizations must...

For nearly two decades, managed-security models have defined how most organizations handle detection and response. Faced with alert overload, chronic staffing shortages, and the high cost of 24/7 coverage, many teams turned to Managed Security Service Providers (MSSPs) and later to Managed Detection and Response (MDR) vendors to fill the gap. Beyond staffing and capacity, many also lacked in-house expertise in building detection systems. It was a rational choice. MSSPs and MDRs provided 24/7 monitoring, experienced analysts, and predictable coverage. They gave companies without an in-house SOC a viable way to maintain security coverage in an increasingly complex threat landscape. But the ground has shifted. AI-driven SOC platforms are now automating large parts of what human analysts once did: triaging alerts, correlating signals, enriching incidents, and recommending or even executing responses. That raises a simple but profound question: what happens to the managed-security m...

CISOs know their field. They understand the threat landscape. They understand how to build a strong and cost-effective security stack. They understand how to staff out their organization. They understand the intricacies of compliance. They understand what it takes to reduce risk. Yet one question comes up again and again in our conversations with these security leaders: how do I make the impact of risk clear to business decision-makers? Boards want to hear how risk affects revenue, governance, and growth. They have a limited attention span for lists of vulnerabilities or technical details. When the story gets too technical, even urgent initiatives lose traction and fail to get funded. CISOs need to translate technical issues into terms the board understands. Doing so builds trust, garners support and shows how security decisions connect directly to long-term growth. It was the urgent need to bridge the CISO-Board communication gap that led us to create a new paradigm in CISO continu...

Artificial Intelligence (AI) has served as a great resource for cyber defenders by enabling real-time detection and response through advanced pattern recognition and predictive analysis that traditional methods weren't able to achieve. However, AI has recently become a dangerous and widely available enabler for attackers to leverage. CISOs now face adversaries who easily scale large-scale cyberattacks like spear-phishing and polymorphic malware at machine speed.  This article examines the rising AI-driven cyberthreat landscape and presents the browser, the enterprises' new endpoint, as the most strategic control plane for defense. By adopting a Secure Enterprise Browser (SEB) into the security stack, enterprises can reduce their attack surface, contain incidents at scale, and future-proof themselves against these advanced attacks.  Why Traditional Defenses Struggle Against AI  Most organizations have robust defense in place against cyberattacks, such as firewalls, EDR...

As hybrid and multi-cloud environments become the standard, organizations are under growing pressure to deliver scalable and secure remote access. Traditionally, Virtual Private Networks (VPNs) have been the go-to solution for connecting remote users to corporate networks. While VPNs have been essential for remote access, they were originally designed for simpler, perimeter-based security models. Organizations that rely solely on VPNs face significant limitations, including weak access control, increased risk of lateral movement and poor visibility. Continue reading to learn the limitations of VPN-based access and how KeeperPAM® provides a strong, modern alternative for securing remote access. Why VPNs are no longer enough Although VPNs have been used to enable remote access within organizations, the limitations of VPNs are becoming increasingly clear as IT environments span across multiple on-premises, hybrid and remote systems. Relying on VPN-based access alone can actually make ...