Generative AI | Breaking Cybersecurity News | The Hacker News

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...

The rapid adoption of SaaS solutions, accelerated by trends such as remote work, cloud computing, big data, and Generative AI (GenAI) has brought significant benefits to organizations. However, this transformation also introduces new attack surfaces and unique challenges for security teams, who must now consider how they can secure the intricate web of SaaS usage across their organization.  Today, the SaaS security landscape is characterized by several key themes and issues: Credential Theft and Stuffing: This trend is fueled by dark web marketplaces where breached credentials are bought, sold, and traded, making it easy for attackers to carry out credential stuffing attacks. Shadow SaaS: The explosion of unauthorized SaaS apps has led to a rise in employees inadvertently exposing sensitive data. Trial or demo accounts are a main source of shadow SaaS.  SaaS Sprawl: In 2023, the average number of SaaS apps used by a business reached 473. Our numbers indicate an increase ...