In partnership with
Hello {{first_name | AI enthusiast}},
GitHub’s Copilot Agent lands inside JetBrains, Cisco rolls personalized AI agents to 90,000 employees, and Chamath Palihapitiya backs a $135M autonomous coding factory—all in one day. Enterprise workflows, developer tools, and security perimeters are being rewritten at once. Scroll down to catch the signals that matter.
Scale AI support on AWS, see how July 9
Customer expectations keep rising. Support budgets don't. On July 9, Fin and AWS are hosting a live executive session on how leading enterprises close that gap: scaling AI-powered support while simplifying how they buy it.
You'll see how to resolve an average 76% of conversations with Fin on AWS enterprise-grade infrastructure, procure through AWS Marketplace to put committed cloud spend to work, and turn the Fin and AWS collaboration into lower support costs. Register for the live session to see how.
What's in Today?
- 🧠 Copilot Agent lands inside JetBrains IDEs
- 🏢 Cisco deploys AI agents to 90,000 employees
- 🛡️ Exabeam targets AI agent security with new detections
- 🧬 Malwarebytes warns of “BioShocking” AI browser attacks
- 🛠️ Google’s ADK 2.0 fuses workflows with flexible agents
- 🧩 Berkeley RDI spotlights self‑generating agent topologies
- 🎓 Bauer College reframes AI vs autonomous agents
- 🛑 Vorlon’s Guardian enforces AI agents at protocol layer
- 🧱 Chamath backs $135M “autonomous software factory” at 890 Labs
- 🖼️ Clever AI explains multimodal AI for richer interaction
🧠 Copilot Agent lands inside JetBrains IDEs
GitHub’s Copilot Agent now powers JetBrains’ AI Assistant, bringing agentic coding directly into popular IDEs like IntelliJ and PyCharm. Developers can delegate multi‑step tasks such as refactoring, test generation, and API integration, turning the IDE into an active collaborator rather than a passive editor.
Expect JetBrains shops to accelerate shipping velocity as AI moves from autocomplete to end‑to‑end coding partner.
Everything is coming into focus.
Join beehiiv live on July 16th at 1PM ET for a first look at the future of audience-led business.
This isn’t just another feature launch (though there will be plenty of those). It’s a look at a more connected future for creators and brands that are tired of juggling disconnected tools, platforms, and data.
If you care about building an audience online, this is worth your time.
🏢 Cisco deploys AI agents to 90,000 employees
Cisco is rolling out personalized AI agents across its roughly 90,000‑person workforce to automate routine workflows in finance, HR, and operations. These agents handle approvals, reporting, and data collection, freeing teams to focus on strategic decisions while giving leadership a live view of process performance and bottlenecks.
Expect every large enterprise to face pressure to provide “an agent for every employee” as baseline digital infrastructure.
🛡️ Exabeam targets AI agent security with new detections
Exabeam expanded its New‑Scale Behavior Intelligence platform, adding open‑source observability and 90 specialized detections focused on AI agent security. The update monitors autonomous workflows, tool calls, and abnormal sequences, catching misuse and compromised agents before they escalate into full‑blown incidents across cloud and identity systems.
Security teams should treat agent behavior as a first‑class signal, not an afterthought, in modern SOC design.
🧬 Malwarebytes warns of “BioShocking” AI browser attacks
Malwarebytes detailed new “BioShocking” attacks that manipulate AI browser agents into bypassing guardrails and exfiltrating sensitive data. By exploiting prompt structures, user‑like behavior, and interface quirks, attackers can coerce agents into dangerous actions while appearing legitimate to standard monitoring tools and policy rules.
Organizations relying on browser agents must harden inputs, interfaces, and policies—intent alone is no longer a reliable safety control.
Your Billing Process Is Slower Than You Think
Most SaaS finance teams underestimate how much billing lag is costing them.Most SaaS finance teams underestimate how much billing lag is costing them.
The Tabs Billing Lag Calculator benchmarks your process against top SaaS companies and puts a dollar figure on the gap — in two minutes.
🛠️ Google’s ADK 2.0 fuses workflows with flexible agents
Google introduced ADK 2.0, a developer toolkit for combining deterministic workflows with flexible AI agents in production applications. It lets teams orchestrate tools, state machines, and language models in one framework, ensuring predictable paths for critical steps while letting agents improvise where creativity or judgment is needed.
Expect ADK‑style frameworks to become the backbone for serious agentic apps that must be both reliable and adaptive.
🧩 Berkeley RDI spotlights self‑generating agent topologies
Berkeley RDI’s Agentic AI Weekly explores agents that dynamically generate their own topologies and synthesize tools on demand. Instead of static architectures, systems spawn specialized sub‑agents, share context, and construct new capabilities as tasks evolve, pushing toward more open‑ended, self‑organizing AI ecosystems with minimal human orchestration.
Research labs are quietly charting how agents will coordinate themselves—an early blueprint for truly adaptive AI systems.
🎓 Bauer College reframes AI vs autonomous agents
The Bauer College of Business published an analysis contrasting AI agents and autonomous agents, focusing on degrees of oversight, decision rights, and accountability. The piece examines implications for teaching, assessment, and workforce readiness, arguing that students must learn to supervise agents rather than simply use tools.
Expect universities to redesign curricula around “managing agents,” preparing graduates for hybrid human‑AI roles across disciplines.
🛑 Vorlon’s Guardian enforces AI agents at protocol layer
Vorlon announced Guardian, a protocol‑layer enforcement gateway that governs AI agents’ runtime behavior across enterprise systems. Guardian inspects actions, tool invocations, and data flows in real time, blocking unauthorized operations and enforcing policies before agents can touch production infrastructure, APIs, or sensitive records.
Enterprises will increasingly demand protocol‑level controls so agents can act freely only within tightly enforced guardrails.
🧱 Chamath backs $135M “autonomous software factory” at 890 Labs
A Daily AI news video reports Chamath Palihapitiya leading a $135M Series A into 890 Labs, funding autonomous software factory agents. The startup aims to turn product specs into deployed code through agent teams handling architecture, implementation, testing, and maintenance, compressing traditional software lifecycles dramatically.
If 890 Labs executes, “write PRD, get product” could move from hype to a credible model for software creation.
🖼️ Clever AI explains multimodal AI for richer interaction
Clever AI released an explainer on multimodal AI, showing how models that ingest text, images, and voice enable more natural, context‑aware interfaces. It highlights applications like visual troubleshooting, conversational design review, and voice‑guided workflows, where users interact with systems in the same mixed modalities they use in everyday life.
Expect multimodal interfaces to become the default layer for agent interaction, collapsing friction between human intent and machine understanding.
What trends are you tracking? Reply with your take or forward it to a colleague shaping AI strategy.