Browsing: Layer

The SEO industry can’t agree on a name for what happens after an AI agent lands on your site. Some call it ASO, Agentic Search Optimization. Others call it ADO, Agentic Discoverability Optimization. Neither term is settled, and neither is a good pick. ASO already belongs to App Store Optimization. ADO has meant Azure DevOps…

Amazon’s introduction of API fees for third-party developers represents another margin squeeze on sellers, this time arriving indirectly through the software tools that have become essential to operate on the platform. Starting January 2026, the fees will force software companies to raise subscription prices or reduce service quality, adding costs to sellers who already pay…

The cybersecurity giant is seeing surging demand for AI security along with massive deal growth from its Falcon Flex subscription model, Kurtz said Wednesday.

Today’s cyber threats are fueled by more: More ransomware. More attacks leveraging native tools for lethal LOTL.  More remote storage pillaging and data exfiltration.  More malicious co-opting of third-party tools. More supply chain attacks.

This kind of agent driven automation is not limited to Salesforce. It is worth looking at a wider group of stocks building the AI infrastructure that underpins these workflows through 55 AI infrastructure stocks.

Graph database startup Graphwise said today it has secured a significant investment from the European venture capital firm Oakley Capital as it looks to beef up its go-to-market strategy and expand globally.

There were 2,184 press releases posted in the last 24 hours and 484,525 in the last 365 days.

As companies deploy generative AI tools and agents, many are discovering that giving an artificial intelligence system access to enterprise data is not equivalent to giving it the context needed to understand that data.

Compliance was built for a slower world of periodic reviews, manual checks and retrospective oversight. But finance no longer operates at that pace. Transactions move instantly, risks evolve continuously and financial crime adapts in real time.

For anti-money laundering (AML) teams, pressure rarely comes from a single direction. Alert volumes continue to climb, sanctions regimes evolve constantly, and regulators expect faster, better-documented decisions — even as compliance teams are asked to do more with the same resources.