| |JANUARY 20249endpoints, identities, and cloud environments, present one of the most pressing challenges organizations face today.Adversaries thrive on fragmented security postures, where point solutions, disconnected workflows, and data silos create visibility gaps and blind spots in their organization's detection and response capabilities. These blind spots are then taken advantage of adversaries, who often mimic legitimate operations to avoid detection. To address this, organizations need comprehensive solutions that integrate endpoint, identity, and cloud security. Unified platforms close these gaps, enabling seamless detection and rapid responses that thwart even the most sophisticated threats.What steps can businesses take to safeguard their networks from external cyber threats and ensure data security in the cloud?As businesses increasingly adopt cloud and multi-cloud strategies, they expand their attack surfaces. Alarmingly, CrowdStrike's 2024 Global Threat Report highlights a 75 percent surge in cloud intrusions over the past two years.It's critical for businesses to understand the shared responsibility model. While cloud providers secure their infrastructure, customers must secure their own applications and data. Many businesses, unsure of their responsibilities, have deployed multiple-point solutions, creating security gaps that adversaries exploit.To safeguard their data, applications and environments in the cloud, businesses need to prioritize cloud security within the broader security strategy. This includes the technology, policies, services and security controls that are deployed across the cloud environments.Identity security capabilities are also critical because compromised credentials allow adversaries to gain access to systems and environments quickly, without needing to exploit vulnerability or a misconfiguration. As a result, businesses need to adopt identity security solutions that help them to prevent, detect, and respond to cyber threats across both cloud and on-premises environments.How is AI both enhancing cybersecurity and introducing new risks for organizations?AI and Generative AI are revolutionizing the business landscape, but at the same time are growing targets for cyberattacks. Adversaries are actively targeting AI services and large language models (LLMs), threatening the integrity of the data and applications that drive these capabilities. From data exposure to supply-chain risks, the potential for threats to AI systems is growing as fast as AI technology comes to market.Misconfigurations, vulnerabilities and breaches in AI systems can have far-reaching consequences. To better manage this risk, organizations need specialized security capabilities that can monitor AI environments, identify vulnerabilities and detect misconfiguration.Unified security platforms are vital to an organization's ability to prevent, detect, and respond to cyber threats
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