Research on Stack Research

Making Agents Aware of Agentic Risk

Tue, 28 Apr 2026 00:00:00 +0000

A capable agent can fail in two very different ways.

The first is loud. It breaks a rule, calls the wrong tool, or says something obviously false. You can see it.

The second is quiet. It forms a plausible plan on bad assumptions, keeps moving, and leaves a trail of reasonable-looking steps that point to the wrong place. That one is harder. It looks like progress until the consequences arrive.

Agent Incident Response Needs a Measurable Drill

Fri, 17 Apr 2026 00:00:00 +0000

Agent incident response needs a clock, a journal, and a stopping point.

Without those three things, failure remains theatrical. A bad action happens, someone opens logs, someone reconstructs intent, someone asks whether the system could have been stopped sooner. The answers arrive after the important interval has already passed.

The useful question is narrower: can a controlled agent failure be made measurable while it is happening?

ControlOps built the parts: scope validation, decision lineage, blast-radius assessment, and kill-path auditing. The drill described here connects those parts around one small incident. It does not prove that agent systems are safe. It proves something more modest and more useful: one proposed action can be checked, stopped, recorded, scored, and prepared for rollback before it becomes an invisible state change.

Agent Security Is a Release Engineering Problem

Sun, 29 Mar 2026 00:00:00 +0000

On Tuesday, the agent reads a note.

The note may be a webpage, a support transcript, a tool result, a migration record, or a line in a document somebody thought was harmless. Nothing dramatic happens. The session ends. The operator closes the tab. The team ships two other changes before lunch: a prompt tweak, a small retrieval adjustment, a new tool scope for a staging workflow.

On Friday, the same system takes a different task. It answers a planning question, prepares a runbook, suggests a deployment path, or reaches for a tool under a credential it did not have on Tuesday. What matters is not the moment the bad state entered. What matters is that it survived.

Why Agent Memory Needs a Control Plane

Mon, 23 Mar 2026 00:00:00 +0000

In an end-to-end memory governance scenario, a migrated record was present in the store but denied by default retrieval. The data existed, but policy correctly kept it out of the agent’s active context. That behavior sounds strict until a real system shows how quickly “just store it” turns into stale, unsafe memory that is hard to audit.

That gap is why Agentic Memory Fabric is a control plane for memory, not another retrieval wrapper. The point is simple: memory used by agents should be treated like governed infrastructure, with clear lineage and retrieval policy enforced at runtime.

ControlOps: Letting Machines Talk

Sat, 14 Mar 2026 00:00:00 +0000

An autonomous system should not be judged only by the moment when it answers. The answer is the visible surface. Beneath it there are quieter questions: who allowed this action, which evidence shaped it, how far could the failure travel, and how quickly could the system be stopped?

These questions are often asked after the fact. A runbook is opened. A trace is reconstructed. Someone searches logs for the decision that mattered. The machine has already acted, and the organization is trying to recover the shape of the action from its shadow.