In cybersecurity, the most important lessons rarely come from theory, but from reality. A recent incident involving an experimental AI agent in the Alibaba ecosystem is one of those moments that forces us to pause and rethink some of our core assumptions. During what should have been just model training, the Alibaba AI agent began behaving in…
In 2024, the siren sounded for a new era of cyber warfare. Large language models (LLMs) didn’t just emerge as productivity tools. They became the ultimate force multiplier for attackers, optimizing exploits at a scale previously unimaginable. Warning shots had been fired. The sophisticated tools, methodologies, and techniques once reserved for elite security researchers and…
Salesforce first sought to tackle AI agent sprawl last year with Agent Fabric, a suite of capabilities and tools inside its MuleSoft AnyPoint Platform. Now, it’s seeking to further rein in unruly AI agents on its platform and those of other vendors too, with new governance tools and deterministic controls. When enterprises adopt multiple agentic…
When I first started deploying AI systems at scale, I made the same mistake most technology leaders make: I treated security and data architecture as problems to solve after the intelligence layer was built. We moved fast, we shipped models and we celebrated early wins. Then, six months in, we discovered that one of our…
Cada proceso empresarial refleja las limitaciones existentes en el momento en que fue diseñado, destaca la ejecutiva de TI Maria Cardow. Según ella, estas limitaciones solían estar condicionadas por las restricciones tecnológicas de la época. Como consecuencia, muchos procesos siguen dependiendo de flujos de trabajo que requieren intervención manual o implican complejos saltos entre múltiples…
A few years ago, I was part of a team rolling out an AI capability into a large enterprise environment. The model itself looked great in testing, accuracy was above 95%, the evaluation metrics were strong and everyone involved felt confident about the rollout. But within a few weeks of deployment, things started behaving in…
기업 CIO 사이에서는 생성형 AI와 에이전틱 AI의 투자 대비 수익(ROI)을 명확히 입증하기 어렵다는 점이 이미 공감대로 자리 잡고 있다. 그럼에도 글로벌 컨설팅 기업 KPMG는 일부 기업이 이러한 한계를 인지한 상태에서도 AI 도입을 적극적으로 추진하고 있다고 전했다. 정량적으로 산출 가능한 ROI가 부족함에도, 경기 둔화가 AI 투자 계획을 늦추는 요인으로 작용하지는 않고 있다는 분석이다. KPMG는 “글로벌 리더의…
In 2024, when cloud-based software company BlackLine implemented its Buckie AI agent, a knowledge base that employees could ask HR- or IT-related questions, the company didn’t expect to move away from the tool within a year. “The technology was moving so fast,” CIO Sumit Johar says, and the company needed a different system to scale…
In my nearly two decades as an identity practitioner — including leading identity programs at global financial institutions and serving as a CISO — I’ve seen a recurring pattern that quietly erodes enterprise velocity. I call it “Monday morning friction.” The symptoms often look mundane, but they are systemically expensive: The project stall: A cloud…
As AI moves from experimentation to scale, many organizations are discovering a hard truth. Despite heavy investment in technology and models, impact often falls short of expectations and the constraint isn’t the technology itself but the operating model, culture, and the workforce required to turn potential into performance. It takes a certain range of skills…