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What separates the SOCs getting results from their AI strategies from those that don’t begins with CISOs who take ownership of AI initiatives and anticipate roadblocks early, systematically demolishing legacy walls that get in the way. The disconnect between AI’s promise and delivery dominated discussions at Forrester’s 2025 Security & Risk Summit last week. “We …

For AI to succeed in the SOC, CISOs need to remove legacy walls now Read More »

Despite new methods emerging, enterprises continue to turn to autonomous coding agents and code generation platforms. The competition to keep developers working on their platforms, coming from tech companies, has also heated up. AWS thinks its offering, Kiro, and new capabilities to ensure behavioral adherence set up a large differentiator in the increasingly crowded coding …

In a sea of agents, AWS bets on structured adherence and spec fidelity Read More »

When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a must-have infrastructure layer for the gen AI era. Billions of venture dollars flowed, developers rushed to integrate embeddings into …

From shiny object to sober reality: The vector database story, two years later Read More »

The race to deploy agentic AI is on. Across the enterprise, systems that can plan, take actions and collaborate across business applications promise unprecedented efficiency. But in the rush to automate, a critical component is being overlooked: Scalable security. We are building a workforce of digital employees without giving them a secure way to log …

Human-centric IAM is failing: Agentic AI requires a new identity control plane Read More »

Chinese hackers automated 90% of an espionage campaign using Anthropic’s Claude, breaching four organizations of the 30 they chose as targets. “They broke down their attacks into small, seemingly innocent tasks that Claude would execute without being provided the full context of their malicious purpose,” Jacob Klein, Anthropic’s head of threat intelligence, told VentureBeat. AI …

How Anthropic’s AI was jailbroken to become a weapon Read More »

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning tasks. Supervised Reinforcement Learning (SRL) reformulates problem-solving as a sequence of logical “actions,” providing rich learning signals during the training process. This approach enables smaller models to learn …

Google’s new AI training method helps small models tackle complex reasoning Read More »

OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises with a better understanding of how these models make decisions.  Understanding how models choose to respond, a big selling point of reasoning models for enterprises, …

OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks Read More »

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology from Databricks could change that. The company this week detailed its “ai_parse_document” technology, now integrated with Databricks’ Agent …

Databricks: ‘PDF parsing for agentic AI is still unsolved’ — new tool replaces multi-service pipelines with single function Read More »

It was originally found in leaked code and publicized by AI influencers on X, but OpenAI has made it official: ChatGPT now offers Group Chats, allowing multiple users to join the same, single ChatGPT conversation and send messages to each other and the underlying large language model (LLM), online and via its mobile apps. Imagine …

ChatGPT Group Chats are here… but not for everyone (yet) Read More »

Alembic Technologies has raised $145 million in Series B and growth funding at a valuation 13 times higher than its previous round, betting that the next competitive advantage in artificial intelligence will come not from better language models but from proprietary data and causal reasoning. The San Francisco-based startup, which builds AI systems that identify …

Alembic melted GPUs chasing causal A.I. — now it’s running one of the fastest supercomputers in the world Read More »