AI Governance | Breaking Cybersecurity News | The Hacker News

Generative AI is not arriving with a bang, it's slowly creeping into the software that companies already use on a daily basis. Whether it is video conferencing or CRM, vendors are scrambling to integrate AI copilots and assistants into their SaaS applications. Slack can now provide AI summaries of chat threads, Zoom can provide meeting summaries, and office suites such as Microsoft 365 contain AI assistance in writing and analysis. This trend of AI usage implies that the majority of businesses are awakening to a new reality: AI capabilities have spread across their SaaS stack overnight, with no centralized control. A recent survey found 95% of U.S. companies are now using generative AI, up massively in just one year. Yet this unprecedented usage comes tempered by growing anxiety. Business leaders have begun to worry about where all this unseen AI activity might lead. Data security and privacy have quickly emerged as top concerns, with many fearing that sensitive information could le...

AI holds the promise to revolutionize all sectors of enterpriseーfrom fraud detection and content personalization to customer service and security operations. Yet, despite its potential, implementation often stalls behind a wall of security, legal, and compliance hurdles. Imagine this all-too-familiar scenario : A CISO wants to deploy an AI-driven SOC to handle the overwhelming volume of security alerts and potential attacks. Before the project can begin, it must pass through layers of GRC (governance, risk, and compliance) approval, legal reviews, and funding hurdles. This gridlock delays innovation, leaving organizations without the benefits of an AI-powered SOC while cybercriminals keep advancing. Let's break down why AI adoption faces such resistance, distinguish genuine risks from bureaucratic obstacles, and explore practical collaboration strategies between vendors, C-suite, and GRC teams. We'll also provide tips from CISOs who have dealt with these issues extensively as w...

CISOs are finding themselves more involved in AI teams, often leading the cross-functional effort and AI strategy. But there aren't many resources to guide them on what their role should look like or what they should bring to these meetings.  We've pulled together a framework for security leaders to help push AI teams and committees further in their AI adoption—providing them with the necessary visibility and guardrails to succeed. Meet the CLEAR framework. If security teams want to play a pivotal role in their organization's AI journey, they should adopt the five steps of CLEAR to show immediate value to AI committees and leadership: C – Create an AI asset inventory L – Learn what users are doing E – Enforce your AI policy A – Apply AI use cases R – Reuse existing frameworks If you're looking for a solution to help take advantage of GenAI securely, check out Harmonic Security .  Alright, let's break down the CLEAR framework.  Create an AI Asset Invent...

The introduction of Open AI's ChatGPT was a defining moment for the software industry, touching off a GenAI race with its November 2022 release. SaaS vendors are now rushing to upgrade tools with enhanced productivity capabilities that are driven by generative AI. Among a wide range of uses, GenAI tools make it easier for developers to build software, assist sales teams in mundane email writing, help marketers produce unique content at low cost, and enable teams and creatives to brainstorm new ideas.  Recent significant GenAI product launches include Microsoft 365 Copilot, GitHub Copilot, and Salesforce Einstein GPT. Notably, these GenAI tools from leading SaaS providers are paid enhancements, a clear sign that no SaaS provider will want to miss out on cashing in on the GenAI transformation. Google will soon launch its SGE "Search Generative Experience" platform for premium AI-generated summaries rather than a list of websites.  At this pace, it's just a matter of a short ...