Dan Drapeau

🔐 AI without guardrails is just a risk waiting to happen. When I asked Chris Hallenbeck, Boomi’s SVP & GM of AI and Platform, how to scale agentic AI safely — his answer was simple but powerful: “If you build on a platform from the start, the guardrails are already there.” At Boomi, they’ve embedded security, governance, and observability directly into the platform. ✅ Prompt injection protection checks every output — and every response coming back. ✅ Delegated access ensures agents only touch the data humans are authorized to see. ✅ Anomaly detection spots compromised agents automatically — across hundreds of systems. ✅ Every reasoning step is logged, every action traceable. This is how companies move from AI experiments to AI you can trust. Because without built-in governance, even the smartest agents can become the weakest link. In my full interview with Chris, we explore how enterprises can innovate at speed — without losing control. 🎥 Watch the full conversation here: https://lnkd.in/eXYrzFSa 👉 Curious about Boomi: https://lnkd.in/e-W2RUrF 💬 Question for you: Do you think today’s companies are moving fast enough to make AI safe by design — or are we still learning the hard way? #AgenticAI #AI #Governance #Leadership #BoomiAmbassador #Automation #Security #DigitalTransformation

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💡 Disconnected Systems. Disconnected Experiences. As a #SalesforcePartner, when I spoke with Muralidhar Krishnaprasad (MK), President and CTO, Engineering of Salesforce, he said something every leader should hear: “How many times have you bought something online—only to see ads for it follow you for weeks? That’s not bad marketing. That’s bad connection.”#Sponsored Most companies think they have digital transformation. But in truth, they just have digital fragments. Marketing isn’t talking to sales. Sales isn’t talking to service. And no one’s talking to the employee behind the screen. The result? Frustrated customers. Drained teams. Lost opportunities. The fix isn’t another tool. It’s unification — one platform, one data core, one truth. That’s what Salesforce calls a unified platform, grounded in data and powered by agents Because in the end, connection isn’t a feature. It’s the foundation of experience. 🎥 Watch my full interview with Muralidhar Krishnaprasad (MK): https://lnkd.in/eCFUeep9 #DF25 #AgenticAI #CustomerExperience #Leadership #Salesforce #DigitalTransformation #Data #Innovation

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Salesforce just changed Agentforce pricing and it's surprisingly easy to understand -- in fact much easier to understand and often ⬇️ lower ⬇️ than competitors'. Here's what you need to know. 🪙🪙New off-rack price is $0.10 per action invoked. That's it. 10 centivos per action. Not per back-and-forth or comment or whatever but only for something Agentforce actually *does* for you. This way pricing lines up with value provided, which is how it should work. 😎😎 It's consumption based. Different actions consume different numbers of 'Flex Credits.' These numbers are published. There is a calculator to forecast the range. Nice and clear. Like this: 👀 Longer more complex loops incur more charges, as they would with human workers (longer calls) 👀 Routine or abbreviated exchanges can be quite cheap -- e.g., an Agent pulling a response from a knowledge base = $0.10. If you think #hyperscalers are simpler or different, you're not looking at their cards: 👀 They charge a range of prices that seem to go from a few cents to $0.50+ for an "Action" 👀 But what's an "Action"? 👀 Sometimes this is clearly an event like a message sent or a RAG response 👀 Sometimes this is not active but behind-the-scenes like an "AI reasoning" step or a "data access" 👀 Could also be infrastructure like hosting or "AI guardrails" For Agentforce, things that are behind-the-scenes or infrastructure aren't actions but entitlements. Batteries included. Of course #Agentic #AI is new and we're all learning the levers. These include what customers need and how this is provided economically. Cost-to-serve can get very real. Agentforce originally charged $2 per conversation, which makes sense in the context of a care center where cost-per-call is known. But what about marketing, or employee onboarding or sales coaching? Thus the per-action model. Some questions: 🤖🤖 Yes, you can migrate from Conversations to Flex Credits (ask your AE) 🤖🤖 Yes, some Flex Credits come bundled with Foundations 🤖🤖 Yes, LLM usage is included here so there isn't a separate line 🤖🤖 No, Conversations are not going away; they still make sense in some situations for some customers 💥 👽 👉 Join me at Agentforce World Tour NYC tomorrow - I have a session at 4pm on Agentforce. 💥 👽 👉And order my new book "Agentforce" (out in a few weeks) on Amazon and other fine sellers.

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I’ve seen a few data discovery vendors claim to protect your Salesforce data in the event of a third-party breach, yet the only feature they’re willing to show is discovery. 🤨 There are two red flags to look out for. First, claiming that discovery equals protection: “We can help you find sensitive data in Salesforce objects.” You found money in a bank. Nice, but is it at risk? Discovery often raises more questions than it answers: What data did the Drift integration have access to? Who granted it? Did the attacker read or modify them during the dwell time? From what IP? Can we report exactly what was touched and when? Did we get any alerts? Second red flag: if a vendor talks vaguely about a feature without showing a screenshot, the feature may not exist. “We can help you identify which integrations have access to sensitive Salesforce data.” Show the access map that clearly illustrates which secrets, PII, price lists, and deal data the Drift app could have stolen. Discovery vendors: ✅ Can tell you what kind of data is in Salesforce ❌ Can’t flag or fix OAuth app misconfigurations ❌ Can’t map the breach OAuth app's potential access ❌ Can’t help you right-size OAuth app access proactively ❌ Can’t detect when the OAuth app is being abused to steal data Varonis shows you which third-party apps are connected and whether they’re securely configured. DSPM is about posture, right? Let’s get specific: ✅ Flags OAuth apps without IP restrictions ✅ Flags OAuth apps without session timeouts ✅ Flags OAuth apps without secure refresh policies ✅ Flags OAuth apps without recent activity  ✅ Shows you which Salesforce data OAuth apps can read/write/modify ✅ Shows you who authorized the app ✅ Right-sizes OAuth app permissions based to only what’s needed (based on privileges in use) Let’s say you ignore those weak configs and roll the dice. A token is stolen. How do you detect that an attack is underway? Varonis detects and responds (24x7x365) the moment a compromised token is abused by alerting you to things like: ✅ Changes in Salesforce data access patterns by OAuth app ✅ Salesforce data access by OAuth app from new IP addresses Data discovery is not data security.

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🚨 Salesforce finally acquires Informatica 🚨 Link: https://lnkd.in/eJ9_-W_P After not being able to close the deal last year, Salesforce finally made it stick this second time around. Per the press release: "The planned acquisition will enhance Salesforce’s trusted data foundation critical for deploying powerful and responsible agentic AI. The combination of Informatica’s rich data catalog, data integration, governance, quality and privacy, metadata management, and Master Data Management (MDM) services with the Salesforce platform will establish a unified architecture for agentic AI — enabling AI agents to operate safely, responsibly, and at scale across the modern enterprise." 💡 Key takeaways and thoughts: 1️⃣ Salesforce clearly is doubling down on agentic AI, but also recognizes at the end of the day it goes back to data --- the highest quality data. 2️⃣ Salesforce now sits in a very unique position in the market with a definitive enterprise data suite of tools combined with more traditional business applications. The closest comp might be Redpoint Global Inc. who has had a CDP+MDM combo and Campaign applications for several years now. 3️⃣ It will be interesting how the two companies integrate their sales teams, GTM sales plays, and how they update (or not) the pricing to take advantage of MDM + CDP + AI + Activation

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Salesforce Commerce Cloud just did something wild. They’re building developer tools in the open. Public GitHub repos. Public issues. Public roadmap. For Salesforce, that’s basically unheard of. B2C DX Tools v0.1.0 dropped as Developer Preview. Rough edges visible. APIs will change. And they’re inviting developers to shape it as they build. CLI for deployments. Agent Skills for Claude/Cursor/Copilot. SDK for integrations. All developed openly. Here’s why that matters: SFCC has always been enterprise grade. Powerful. Complex. Built for scale. The developer experience? Let’s say it “required deep expertise.” By building openly, they’re letting the community fix that. Not Salesforce deciding what developers need. Developers showing Salesforce what actually works. This is a cultural shift, not just a tooling release. The tools are v0.1.0. Early. Incomplete. But the approach? That’s the innovation.

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Salesforce has officially announced the end of sales for its CPQ product, originally acquired from Stellbrick for $360 million. Despite significant sales, the product has seen no upgrades in recent years. Although there has been much speculation, the decision is now clear. Existing CPQ users will continue to receive full support and license renewals, but new licenses will no longer be available. Partners and members of the Trailblazer Ecosystem should familiarize themselves with the new RLM offerings and prepare for migration. #Salesforce #CPQTransition #salesforcecpq #revenuecloudmanagement #cbl #cloudbelive #salesforceben

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Big announcements from Salesforce today at TDX as they unveiled their deeply unified platform that powers agentic AI! #SalesforcePartner  Over 8 out of 10 developers believe AI agents will become as essential to app development as traditional software tools (State of IT: AI and Software Development, February 2025). Salesforce has made it easier than ever to start building with trust.  This platform enables seamless data sharing and streamlined workflows for implementing AI across the entire organization. By combining Data Cloud (the heart of Agentforce) with Atlas Reasoning Engine (the brain), Salesforce ensures a trusted AI environment.  I'm personally excited about Agent Exchange, which allows partners, developers, and the Agentsblazer community to build and monetize agentic AI components. But don't just take my word for it—the best part is that you can test out these features for free, in an environment you get to keep! Start developing today:https://lnkd.in/gN_B39AF Let's start building the future with human and machine teaming! 💪🏼🤖

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