Artificial intelligence is often hailed as the ultimate productivity booster for the enterprise, but that same efficiency is quickly democratizing cybercrime. As AI coding agents lower the barrier to entry for writing malicious scripts, organizations face a new imperative: implementing agentic resilience to survive attacks that are faster and more sophisticated than ever before. Because ...

As enterprises accelerate their move toward autonomous workflows powered by artificial intelligence, the urgent need for robust AI agent governance has become a critical operational mandate. An agent’s potential relies on the fact that they can perform higher-level tasks, including assuming identities and executing business processes. But if that is compromised, attackers have effectively hijacked ...

As artificial intelligence moves from experiments to everyday use, companies are realizing that making it work at scale within an enterprise AI partner ecosystem is harder than building an isolated demo. Practical concerns like cost and reliability are now shaping how organizations deploy AI systems in real production environments. What is clear is that success ...

Data modernization has evolved from being yet another technical upgrade to the critical prerequisite for enterprises attempting to unlock the power of agentic artificial intelligence.  But while the industry has focused heavily on generative AI models over the last two years, the underlying infrastructure required to support autonomous decision-making is forcing a reevaluation of enterprise ...

As organizations look to roll out artificial intelligence initiatives, they’re quickly discovering that the fixed workflows and step-by-step procedures that work so well in traditional programming come up short when designing models for AI-native agents.  Because agents operate in open-ended, dynamic environments and make decisions the developer did not explicitly script, trying to specify every ...

As enterprises seek to modernize customer engagement, the demand for a sophisticated agentic contact center platform is driving innovation in the service industry. Amazon Connect — an example of such a platform — is expanding its offering to meet that demand, unveiling 29 new features at this year’s re:Invent conference, according to Pasquale DeMaio (pictured), vice president of ...

Companies are racing to connect core data systems to modern artificial intelligence tools with as little friction as possible, making a strong multicloud integration strategy critical. Enterprises want consistent, predictable performance, irrespective of whether their workloads run on-premises or in the cloud. As artificial intelligence leads to surging workloads, Oracle Corp. is seeing strong enthusiasm ...

The rise of artificial intelligence has sparked a new era of agent-based software development, fundamentally changing how code is created, tested and deployed.  While “vibe coding” — writing software through casual conversation with a coding agent — has captured the imagination of hobbyists, enterprise information technology requires a level of rigor and maintainability that standard ...

As artificial intelligence becomes native to every layer of the stack, a new era of intelligent and fluid infrastructure is emerging — bringing with it new demands for AI security observability. In fact, security is rising to the forefront as organizations confront expanding attack surfaces and an ever-growing flood of data. For SentinelOne Inc., a ...

Companies are eager to embrace artificial intelligence, but many are slowed down by outdated data systems and rising infrastructure costs, exposing gaps in enterprise AI preparedness. As AI agents flood systems with telemetry and demand structured data, they are forcing organizations to modernize — and fast. But in larger enterprises, there’s a major disconnect between ...