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Amazon Launches OpenSearch Upgrade To Support AI Agent Workloads

Cloud infrastructure was largely designed around human activity, such as searching, browsing, streaming and interacting with websites. The rise of AI agents is creating a different type of demand, characterized by rapid bursts of automated activity involving database queries, document searches and API calls. As enterprises deploy more AI-powered systems, cloud providers are adapting infrastructure to support increasingly complex machine-to-machine workloads.

Adapting To The New Age Of Agentic Traffic

Recognizing the fundamental shift in traffic patterns, Amazon Web Services (AWS) has reimagined a foundational element of its cloud offering. On Thursday, AWS launched its next generation of OpenSearch Serverless. This advanced, fully managed search and vector database is engineered specifically for agentic workloads, scaling instantly when task bursts occur and minimizing costs by scaling down to zero during idle periods.

Meeting the Demands Of Machine-Generated Traffic

Industry leaders now understand that infrastructure optimized for human-driven internet is ill-suited for the exponential growth of machine-generated traffic. Cloudflare recently reported that bots accounted for 31% of HTTP traffic over the last six months, with AI crawlers and search assistants driving a significant portion of these requests. As Lai Yi Ohlsen, Senior Product Manager at Cloudflare, noted, “Non-human traffic will exceed human traffic sometime in the first half of 2027.”

AI Agents Move Into Production

Recent announcements across the technology sector indicate that AI agents are moving beyond experimentation and into wider commercial use. At Google I/O, Google introduced tools designed to help users delegate tasks such as research and travel planning to AI systems. Businesses are also deploying internal AI agents to automate workflows, increasing the volume of machine-to-machine interactions across enterprise networks.

Technical Changes To OpenSearch

Tia White said the updated platform separates compute resources from storage, allowing capacity to scale more efficiently as demand changes. According to AWS, the model is intended to help organizations manage unpredictable traffic spikes generated by AI systems while reducing infrastructure costs during idle periods.

Integrations and Industry Implications

At launch, OpenSearch Serverless will integrate natively with AI development platforms such as Vercel and Kiro, enabling developers to deploy robust search and vector backends without the overhead of infrastructure management. This innovation aligns with broader industry trends, as companies such as Databricks, Snowflake, Microsoft, and Cloudflare pivot their services to support AI-driven memory and retrieval for enterprise data. As AI adoption accelerates, the pressure for infrastructures that optimize for machine-generated workloads will only intensify.

Google Warns Of Vishing Campaign Targeting Financial Firms

Cybercriminals are increasingly relying on a simple tactic to breach major financial institutions: convincing employees to hand over their own login credentials.

In a new report, Google said several hacking groups have been targeting large financial and investment firms in the United States through voice phishing, or “vishing”, before stealing sensitive corporate data and using it to extort victims.

Employees Are The Primary Target

According to Google’s researchers, attackers contact employees on their personal mobile phones while posing as colleagues or IT support staff. Victims are then directed to fake websites, where they are tricked into entering login credentials and multi-factor authentication codes.

Google tracks the groups under the names Falcon, Helix, Pink and Redact, although researchers believe they may be linked to a broader threat cluster known as UNC6671.

Some of the groups operate leak websites, where they threaten to publish stolen data unless companies agree to pay a ransom.

Financial Sector In The Spotlight

While previous attacks targeted industries including manufacturing, healthcare, insurance, technology and hospitality, Google said the hackers have increasingly shifted their focus to financial institutions and law firms.

Researchers believe organisations involved in mergers, acquisitions and capital markets are particularly attractive targets because of the highly confidential information they hold.

Google estimated that one cryptocurrency wallet linked to the operation received around $10 million in bitcoin during the first few months of the year. Ransom demands typically range from $750,000 to $3 million.

The report highlights that despite rapid advances in AI-driven cyberattacks, traditional social engineering techniques remain among the most effective ways for attackers to gain access to corporate networks.

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