Google-OpenAI Collab, HubSpot AI Tools, and Okta's Security for AI Agents

These agents can now perform a range of tasks from resetting passwords to personalizing outreach for potential clients. They're designed to free up time, allowing teams to focus on building relationships rather than getting bogged down by repetitive tasks. Now, let’s talk about the new AI-powered Workspaces. Imagine having a one-stop shop for all your team’s needs—sales, customer success, and help desk functionalities—all embedded with HubSpot’s Smart CRM technology.

These Workspaces are built to streamline operations. For instance, the Sales Workspace features a predictive deal score that highlights which deals need attention and offers AI-driven next steps. It even includes an AI meeting assistant to help with preparation and follow-up. The Customer Success Workspace is equally impressive, offering managers a centralized hub to manage schedules, execute tasks, and access reports.

It keeps teams updated with real-time alerts on customer scores and provides multiteam support, essential for large-scale operations. And for the help desk, there’s a dedicated Workspace that brings all necessary tools together. It includes new features like operating hours and team spaces for dynamic ticket sorting, making it easier to tackle customer support challenges.

HubSpot’s Marketing Hub Enterprise is also getting a boost with three new features. Lookalike Lists help marketers find ideal customers by identifying those with similar traits to their best clients. Adaptive automation for customer journeys allows for real-time adjustments based on customer behavior. And multi-account management centralizes accounting across teams, which is a game-changer for large organizations.

Angela DeFranco, Vice President of Product at HubSpot, summed it up perfectly: Marketers need tools that adapt as quickly as the landscape changes, and these updates are designed to do just that. It’s about keeping pace with complex buyer journeys and multiple business needs.

Incident.io has just secured a hefty $62 million in a Series B funding round, pushing its total funding to over $96 million. This round was led by Insight Partners, with participation from existing investors Index Ventures and Point Nine Capital. Founded in 2021 from a former London fire station, Incident.io is making waves in the world of incident management by addressing a common industry problem: fragmented tools that just do not cut it anymore.

Imagine dealing with application outages using a jumbled mix of PagerDuty, spreadsheets, and ticketing systems. It sounds chaotic, right? That’s the chaos Incident.io is looking to solve. Stephen Whitworth, the Chief Executive Officer, notes that they have become the go-to choice for elite engineering teams looking to move away from these outdated tools. Over 250,000 incidents later, their platform is the new standard.

Originally, Incident.io’s platform was built into Slack, but as they grew, they saw the need to expand to Microsoft Teams. Their clientele reads like a who’s who of tech giants, including Netflix, Airbnb, and OpenAI. In March 2024, they launched a game-changing product called On-call, which uses artificial intelligence to ensure the right people are notified at the right time, minimizing the disruption to those on-call.

This new funding will help Incident.io push the boundaries of what's possible with artificial intelligence in incident response. As Whitworth explains, artificial intelligence is both the creator of complexity and its solution. With artificial intelligence-powered agents, they aim to help teams investigate incidents faster by showing what’s wrong and why, ultimately reducing downtime and freeing up precious engineering time.

Incident.io’s vision is not to replace site reliability engineers or incident teams, but to enhance them with a powerful artificial intelligence partner. By doing so, they aim to alleviate the tedious work of researching root causes and provide critical insights before engineers even start their investigation. It’s all about reducing downtime and getting high-quality engineering time back.

With the fresh influx of capital, Incident.io plans to accelerate its artificial intelligence vision by hiring more engineers and developing new products. They'll also be expanding their sales, customer success, and marketing teams to support their growing customer base. It’s a big leap forward for a company that’s quickly becoming an indispensable tool for engineering teams worldwide.

Google has just rolled out a slew of new artificial intelligence agents and platforms aimed at revolutionizing software development. Announced at the Google Cloud Next 2025 conference, these updates to the Gemini Code Assist and Gemini Cloud Assist portfolio are designed to automate a wide array of software engineering tasks.

Imagine being able to generate code using product specifications from Google Docs, migrate code between languages, and even create documentation—all through a natural language chat interface. That's the power of these new AI agents. But there's more. Google is also introducing AI agents for its Firebase platform, specifically trained to build and test application prototypes.

These agents leverage the reasoning capabilities of Google's Gemini 2.5 large language model, offering a set of connectors for seamless integration with integrated development environments. It’s like having an AI co-pilot guiding you through the software development process. For developers eager to experiment, Google is offering a limited preview of a sandbox environment called the Enterprise tier of the Google Developer Program.

For a flat fee of seventy-five dollars a month, developers can easily dive into Google’s AI capabilities. And it does not stop there—DevOps teams are getting new platforms to manage cloud infrastructure services with greater abstraction. This includes a public preview of a graphical Application Design Center service that simplifies application deployment using visual templates.

These Gemini Cloud Assist agents are integrated with the Application Design Center to speed up application infrastructure design and deployment. They also tie into the Google FinOps 2.0 Hub to optimize cloud resource consumption. Plus, all application deployments will now automatically register in the Google App Hub service, which is expanding to include a private preview of a Cost Explorer tool and public preview of application monitoring features.

Brad Calder, Vice President and General Manager for the Google Cloud Platform, said these capabilities will simplify understanding the relationship between cloud infrastructure usage and costs. Mitch Ashley from The Futurum Group added that Google’s application-centric approach is creating a more holistic view of application development, DevOps, observability, IT operations, and FinOps.

The big question, of course, is how quickly organizations will adopt these AI tools for building and deploying applications. According to a recent survey by Futurum Research, forty-one percent of respondents expect generative AI tools to be used for generating, reviewing, and testing code, while thirty-nine percent plan to use AI models based on machine learning algorithms. More than a third also plan to apply AI and automation to IT operations.

The challenge now is determining just how much organizations can rely on AI tools to fully automate tasks versus partially automating them. It’s a brave new world in software development, and Google’s latest offerings are leading the charge.

Okta has just rolled out some groundbreaking tools to secure AI agents and non-human identities. In a world where digital and automated identities are on the rise, Okta's latest platform innovations couldn't come at a better time. The company is offering unified identity governance that provides the same level of security and visibility for machines as it does for humans. This is a big deal for organizations relying on AI agents to automate tasks across customer service, sales, and IT.

Arnab Bose, Okta’s Chief Product Officer, announced these new features, underscoring the company's commitment to securing the expanding ecosystem of digital identities. The enhancements are part of a global rollout, including in places like India, where AI-driven automation is rapidly taking hold. Now, here’s why this matters. Non-human identities are becoming more prevalent, especially as companies deploy AI agents at scale. But here's the catch—these identities are often poorly secured.

With fixed credentials and no multi-factor authentication, they pose a significant security risk. And get this, only 15 percent of organizations feel confident in their ability to secure them. Okta's updated platform introduces some key features aimed at tackling these challenges. There's Identity Security Posture Management and Okta Privileged Access, which help companies discover and control machine identities like API keys and automation tools.

Then there's Separation of Duties, ensuring users don't get conflicting access that could lead to fraud or breaches. And let's not forget the Secure Device Features, which reduce multi-factor authentication fatigue and risk of credential theft by integrating hardware-level protections. For organizations still managing legacy, on-prem systems, Okta's On-prem Connector is a game-changer, helping them manage access through Okta’s governance tools.

As AI and automation reshape the workplace, Okta is stepping up to help businesses manage the resulting identity sprawl. By unifying how both human and machine identities are governed, organizations can maintain a stronger security posture in an increasingly complex IT environment. That’s it for today’s The AI Agent Daily Brief. Google and OpenAI's joint adoption of Anthropic's protocol is setting a new standard for collaboration in AI, which could redefine industry partnerships.

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