If your credential management still relies on manual reviews and periodic cleanups, the issue is not policy. It’s integration depth.
Tokens, identities, user permissions, service accounts, access relationships. They live across multiple systems.
When integrations are shallow, automation stops at visibility; you can audit access. However, you can’t enforce it in real time.
Credential management only scales when provisioning, deprovisioning, token rotation, and access updates are fully executable through APIs.
Full read and write coverage, not audits or spreadsheets.
@databricks Token Management · @Imperva User Management · @Microsoft Graph Identity · @Acronis Account Management · Veza
@Raph_Bloch Non Raph, pas d’accord avec toi sur celle là ! Il y a bien une différence de discours, de financement et une ambition débridée outre atlantique mais la réalité c’est qu’il y a certainement autant de start up qui se ramassent la bas. Je dirais même plus mais il faudrait Check
If your remediation workflows still depend on analysts stitching actions together, the issue is not detection. It’s integration depth.
Endpoint telemetry, threat intelligence, cloud inventory, and operational insights all live in different systems.
When integrations are shallow, automation stops at the investigation stage.
You know what needs to be fixed. You can't execute the response end to end.
Remediation only scales when containment, enrichment, validation, and recovery actions are fully executable through APIs.
Full read and write coverage, not alerts, not manual playbooks.
Native connectors or MCP servers; now you choose how your AI agents connect in MindFlow.
Broad coverage and granular control, or reach into your internal tools. Either way, enterprise-grade security is built in. 🔒
Demo: https://t.co/bNKpqS0hFq
If your CRM automation stops at lead sync, the issue is not marketing. It’s integration depth.
Contacts, campaigns, messages, deals, customer data. They live across multiple systems.
When integrations are shallow, automation stops at data transfer.
A contact is created. Then humans manage the rest.
CRM only scales when updates, segmentation, messaging triggers, deal stages, and customer lifecycle actions are fully accessible through APIs.
Full read and write coverage. Not CSV imports. Not one-way sync.
@ActiveCampaign · @messagebird · Lead jet · @HubSpot · @salesforce
Our Head of Engineering, Gregory Roubinet, put a swarm of AI agents to the test. He built a simple agent that sends commands to a server and returns results, then connected it to a "supervisor" agent tasked with acting as a pentester.
First attempt: it refused. No authorization, no action, exactly the kind of guardrail you want.
So he added a human-in-the-loop step: one Slack message, one click to approve, and the flow picks up right where it left off. From there, the agent got to work, running nmap scans, checking services, and flagging an exposed MySQL instance in real time.
From there, adding more capability was just as simple: a couple of extra tools (Slack updates, Jira ticketing), one line in the prompt each time.
It's a good look at what agent swarms can actually do in practice: composable, tool-connected agents that get real work done, with a human still holding the risky calls.
Full video here: https://t.co/wXscjs5oog
@grumpy86usa @LBbez@CollinRugg Americans didn’t even want to free Paris. We had to go against your army orders to do it. You were rushing to Berlin too worried that Russian would come first. And by the way the initial plan was to admistrate France not to make us free. We won’t believe your shit anymore
The Executive’s Guide to Implementing Agentic AI
🔍 In this blog, we explore:
✪ How top industry leaders are successfully implementing Agentic AI in their organizations
✪ Best practices for deploying autonomous AI agents to drive decision-making and efficiency
✪ Real-world examples of Agentic AI transforming workflows, operations, and business outcomes
Agentic AI isn’t just the next step in automation; it’s a strategic advantage for executives who want to stay ahead in the AI-driven future.