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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 ...

Automated tools give you visibility. Adversarial testing gives you clarity. In Salesforce environments, you need both. The Problem with Checkbox Security in a Platform-Centric World Salesforce has become more than just a CRM—it's the backbone of how many organizations operate. It holds customer data, governs workflows, drives revenue, and connects to dozens of internal and third-party systems. But that complexity is exactly what makes it hard to secure. And too often, security teams rely solely on generic scans or scheduled audits that were never designed to handle the nuance of Salesforce's layered permissions, custom logic, and evolving integrations. The result? A lot of surface-level findings—and a lot of assumptions about what those findings actually mean. Automation Is Essential—But It's Only One Layer There's no question that modern scanning tools play a vital role in Salesforce security. The right platforms can surface deeply nested permissions, cross-object access paths,...

Generative AI has quietly become a part of the SaaS ecosystem that businesses use every day. Platforms like Zoom, Slack, Microsoft 365, and Salesforce now have AI assistants. You can use these tools to do things like write summaries of meetings or perform routine tasks. A recent  survey found that 95% of U.S. businesses now use generative AI. This is a big increase from last year. But this quick growth of AI features is making security leaders worried. Sensitive information could be leaked or used in the wrong way if there aren't enough controls in place. Shadow AI and Its Far-Reaching Risks When employees use AI apps without the knowledge or approval of IT, it creates shadow AI . This is akin to the shadow IT problem of unsanctioned cloud apps, but now with AI services. The unauthorized use of AI platforms can unknowingly expose organizations to data privacy issues, compliance violations, and even disinformation risks. We're already seeing these risks play out. Samsung engin...

The past year has marked a decisive shift in the way Distributed Denial-of-Service (DDoS) attacks operate. DDoS used to mean, simply speaking, the overwhelming of targets with massive amounts of traffic. But now, DDoS attacks have evolved into precision-guided threats – and this transformation can be partly attributed to AI.  The acceleration is measurable. In the first quarter of 2025 alone, DDoS incidents surged by 358 percent compared to the same period in 2024, according to Cloudflare. Even more concerning, the proportion of attacks that caused actual production downtime rose by 53 percent. This is not just a spike. It is a sign that attackers are fundamentally changing how DDoS campaigns are planned, launched, and adapted in real time. The consequences are significant: organizations that rely on legacy DDoS defenses or irregular testing methods are finding themselves exposed, often without knowing it. How Attackers are Enhancing DDoS Attacks DDoS attacks historically reli...

Your identity environment holds the keys to your most critical data in the form of privileged accounts. Industry consolidation and a desire for company growth both often lead to mergers or acquisitions which, if not managed closely, can wreak havoc on an identity landscape. Mergers of identity environments create a glut of identities and identity accounts to manage, some of which may be redundant. They also introduce new 3rd parties, contractors and non-human identities like service accounts, bots etc.... into the equation. In addition, a merger or acquisition could hybridize the identity landscape, adding Cloud applications to on-prem resources, and vice versa. All of this increases the attack surface if not managed properly. As the two companies determine how to best work together, there is a level of uncertainty that can result in temporary measures as a stop-gap. Temporary access is often granted to provide employee, contractor and third party access to applications and privile...

Salesforce Is Mission-Critical, but That Doesn't Mean It's Protected At the beating heart of customer operations, the scope of Salesforce goes well and beyond traditional customer relationship management (CRM) systems. As a system of records, a sales engine, a service dashboard, and a repository for years of business-critical insight, deals flow through it continuously. Strategies depend on it. Customer relationships live or die by what they contain.  Yet, despite this, a dangerous misconception persists: "It's in the cloud, so it must be safe." Unfortunately, this assumption is as costly as it is common.  Here's the reality. Salesforce operates under a shared responsibility model , meaning your cloud provider — in this case, Salesforce — is responsible for platform uptime, infrastructure integrity, and security of the cloud. But you, the customer, are responsible for its actual content (your data, your metadata, and your configurations). So, while Salesforce protects th...

Compliance is often treated as a paper exercise, something to tolerate, check off and forget. But in a threat landscape shaped by ransomware-as-a-service, AI-augmented phishing campaigns, and supply chain breaches, delaying compliance doesn't just create business and operational friction. It creates risk.  When compliance is layered late, organizations face mounting costs: duplicated controls, misaligned security priorities, reactive remediation efforts, and worst of all, security blind spots that attackers can exploit. Treating compliance as an afterthought is a gamble.  In this post, we highlight the real cost of sidelining compliance and why embedding compliance into your security strategy from the start is not just good hygiene, it's essential engineering.  Security and Compliance: Not Opposites, but Allies It's easy to think of security as "protecting" and compliance as "documenting". But that split is artificial. Frameworks like ISO/IEC 27001, NIST CSF, PCI ...

Security and compliance professionals are no strangers to complexity. From staying ahead of ever-evolving threat landscapes to navigating an expanding web of regulatory requirements, the day-to-day demands often feel like a game of whack-a-mole. Enter AI copilots—powerful tools that, when used thoughtfully, can dramatically streamline operations and supercharge your security and compliance programs. While much of the hype around AI focuses on futuristic capabilities, the real magic today lies in using these tools to augment existing workflows. Think of copilots not as replacements for security teams, but as force multipliers—always-on assistants that help reduce toil, improve consistency, and enable teams to focus on higher-value initiatives. AI Copilots in Action: Security & Compliance Use Cases AI copilots are no longer just experimental toys. Here are a few ways forward-thinking security teams are using generative AI tools—like OpenAI's custom GPTs and Google's Gemini Gems...

What is Threat-Led Vulnerability Management? Threat-Led Vulnerability Management (TLVM) is a security approach that focuses on prioritizing and managing vulnerabilities based on the current threat landscape and the specific risks posed to an organization. Rather than treating all vulnerabilities equally, TLVM emphasizes understanding which vulnerabilities are most likely to be exploited by malicious actors, correlated with the configuration state and security posture of the organization's unique infrastructure and business processes. Why Now? The notion of adopting a Threat-Led Vulnerability Management (TLVM) approach has grown in popularity, particularly in the face of the escalating volume and sophistication of cyber threats, which are increasingly frequent and offer a lower cost attack alternative when supported by AI tools. The dynamic nature of the threat landscape requires organizations to stay agile in their vulnerability management processes, prioritizing efforts based on ...