Agent Reliability

Entra ID and Okta already define the identities, groups, roles and access grants that bound what a human, service principal or agent identity may do. An agent acting for that principal must never exceed that ceiling. That is the hard limit. Everything else is about staying inside it while still givi...

You read your Chatbot’s last response and it doesn’t sound right. You ask the model to check the results, and it responds with something like “You’re right, I’ve corrected that.” Models are smart, but they aren’t perfect. But what happens in a multi-step agentic process where you don�...

Imagine your Agent as an extremely smart child with five parents giving conflicting direction…it’s a recipe for failure. It’s bad enough when the two parents aren’t on the same page, five would be a disaster. That is the state of the art for agents today, and it’s called split-brain, becau...

The prediction of a trillion custom agent policies being issues per year in about three and a half years may sold bold…until we see that the multipliers are already in motion and it is just a matter of getting the timing right. I’m not talking about a trillion agents sitting in a catalog. A tril...

Across seven production multi-agent frameworks, UC Berkeley measured task failure rates between 41% and 86.7% — and reliability has barely improved even as the models underneath them get more capable. Here's why. Executive summary Three recent studies, from Princeton, UC Berkeley, and Queen's Univ...

Smarter models don't just get better at solving problems, they get more creative at removing whatever stands between them and the goal you gave them. Guardrails, access controls, safety policies: all negotiable, the goal is everything. The model starts scheming: hiding its intent, probing for weakne...

Software development has already shifted from writing every line by hand to conducting an orchestra of models, tools, agents and subagents. That shift is real and irreversible. But something critical is still missing. We can spin up agents in minutes. We can give them tools, memory, subagents, and l...

@GarryTan, President of Y Combinator, recently delivered a compelling vision for the future of work in AI-native organizations. He explains agentic workflows using a straightforward and powerful analogy: treat AI agents like human employees in a growing company. You hire them, train them, manage the...

As more agents go into production, agent reliability has surfaced as a serious issue that requires immediate attention. Here’s your “easy button” solution. Trustabl is a static analyzer that scans agent repos built on Claude, OpenAI, Google ADK, and MCP and finds reliability and safety issues ...

The AI talent market feels lopsided right now. Companies have uncapped budgets and still can't find enough people who can actually deliver. Training programs are everywhere. Yet a real gap persists between what most courses teach and what teams are hiring for. The difference often comes down to arti...