Agentic AI insights: security, evaluation and governance for AI agents

The next move. Considered. Ideas for the people turning agentic AI into real work: strategy, systems and the evidence behind better decisions.

Latest perspectives

123 articles
Cryptographic engineering7 MIN READ

Cryptography is an architecture decision, not a library choice

Choosing a well-regarded library settles very little. The decisions that determine whether cryptography protects anything are about where keys live, what a compromise reaches, and which threat you are actually addressing.

Cryptographic engineering6 MIN READ

What belongs in a post-quantum migration plan?

A plan that lists algorithms and a target year is a statement of intent. A plan that survives review names sequenced workstreams, dependency owners, interim states and the decisions that are already overdue.

Strategy & transformation6 MIN READ

AI readiness is local to the workflow

Enterprise readiness scores hide the conditions that make one workflow viable and another reckless. Assess readiness where data, authority, people and operations meet.

Architecture & engineering6 MIN READ

Context is not memory: why the distinction matters

Context is the information available for one inference. Memory is a governed process for retaining, changing and recalling information across time. Confusing them creates silent risk.

Evaluation & assurance6 MIN READ

Turning red-team findings into release criteria

A dramatic exploit is a discovery, not a decision rule. Translate it into a threat condition, required control, repeatable regression and release consequence.

Agent security6 MIN READ

What CISOs need to know about tool-using AI agents

Tool-using agents join untrusted input, probabilistic decisions and privileged action. CISOs should govern that path as a security system, not a chatbot feature.

A little more clarity

Questions worth asking.

Start with the questions that shape a better decision.

Which enterprise agent questions does the Softlander blog examine?

The blog examines where agents create business value, how teams define release evidence, how authority and tool access should be bounded, and how engineering, security and governance owners can make a shared decision.

Who are the articles written for?

They are written for product, engineering, AI platform, security, governance and transformation leaders responsible for moving an agent workflow from idea or pilot towards accountable operation.

How do the articles relate to Softlander’s services?

Articles explain the problems and decision methods behind the consultancy’s service direction. They are educational material and do not replace a scoped review of an organisation’s actual system.