Enterprise AI | Breaking Cybersecurity News | The Hacker News

The AI gold rush is on. But without identity-first security, every deployment becomes an open door. Most organizations secure native AI like a web app, but it behaves more like a junior employee with root access and no manager. From Hype to High Stakes Generative AI has moved beyond the hype cycle. Enterprises are: Deploying LLM copilots to accelerate software development Automating customer service workflows with AI agents Integrating AI into financial operations and decision-making Whether building with open-source models or plugging into platforms like OpenAI or Anthropic, the goal is speed and scale. But what most teams miss is this: Every LLM access point or website is a new identity edge. And every integration adds risk unless identity and device posture are enforced. What Is the AI Build vs. Buy Dilemma? Most enterprises face a pivotal decision: Build : Create in-house agents tailored to internal systems and workflows Buy : Adopt commercial AI tools and SaaS integ...

Ambitious Employees Tout New AI Tools, Ignore Serious SaaS Security Risks Like the  SaaS shadow IT  of the past, AI is placing CISOs and cybersecurity teams in a tough but familiar spot.  Employees are covertly using AI  with little regard for established IT and cybersecurity review procedures. Considering  ChatGPT's meteoric rise to 100 million users within 60 days of launch , especially with little sales and marketing fanfare, employee-driven demand for AI tools will only escalate.  As new studies show  some workers boost productivity by 40% using generative AI , the pressure for CISOs and their teams to fast-track AI adoption — and turn a blind eye to unsanctioned AI tool usage — is intensifying.  But succumbing to these pressures can introduce serious SaaS data leakage and breach risks, particularly as employees flock to AI tools developed by small businesses, solopreneurs, and indie developers. AI Security Guide Download AppOmni's CISO...