6 min read
Buy the Control Plane. Then Prove It Works.
Agent control is turning into a product you can buy. Open or closed, you didn't write it, so what it does in your environment is the only proof you'll get.
Tagged: agents
26 posts tagged with “agents”
6 min read
A Record of Approval Is Not Approval
Darktrace rewrote the saved conversations of four coding agents and got them to attack a network. The lesson isn't about signatures. It's about where your agent's permission comes from.
7 min read
Why We Failed Our Agent-Readiness Audit on Purpose
An automated audit gave us nine recommendations for being 'agent-ready.' We shipped three and deliberately failed the other six — because a security firm's agent-readiness is measured by signal honesty, not checkbox coverage.
7 min read
88% Already Hit. Permissions Are the Root Cause.
Nearly 9 in 10 organizations report AI agent security incidents. The root cause isn't prompt injection or model flaws — it's overly broad permissions.
6 min read
AI Executes. Humans Own It.
The execution case and the accountability case are both right. The interesting question is what happens when you put them together.
9 min read
Guardrails Failed. Now What?
Static AI guardrails are failing in production. Langflow was exploited within 20 hours. Cline was compromised through a GitHub issue title. Here's what actually works instead.
5 min read
Your Compliance Assessment Does Not Cover AI Agents
NIST RA-5, ISO 27001 9.2, DORA, FedRAMP 20x — four major compliance frameworks share the same blind spot: none of them account for AI agents in your environment. Here is what that means and what to do about it.
14 min read
The AI Agent Supply Chain Is Already Compromised
820 malicious packages. 30,000 exposed instances. Fortune 500 breaches. The AI agent ecosystem has a supply chain problem that traditional AppSec isn't built to catch.
8 min read
Your Agent's Real Attack Surface Isn't Its Prompt
Everyone optimizes the token window. Almost nobody manages the environment. Active context is what your agent thinks about. Latent context is what your agent can reach. The blast radius of a compromised agent is determined by the latter.
11 min read
Prompt Injection Goes Live: Three Proof Points That Change Everything
Indirect prompt injection has moved from theory to active exploitation. Unit 42 confirms in-the-wild attacks, PleaseFix hijacks AI agents through calendar invites, and a Claude Code CVE exposed 150,000 developers. Here is what security teams need to know.
21 min read
Supply Chain Attacks Just Went Autonomous: The SANDWORM_MODE Wake-Up Call
Nineteen malicious npm packages. Four AI coding tools. Rogue MCP servers injected silently into agent configurations. SANDWORM_MODE is the first documented autonomous supply chain attack targeting AI developer toolchains — and it exposes a structural vulnerability that identity alone cannot fix.
15 min read
Identity Is the Missing Layer for AI Agents
Your AI agents inherit your permissions, your credentials, and your blast radius. NIST just proposed a fix — and the public comment window closes April 2. Here's why identity governance is the layer most agent architectures are missing.
14 min read
Your Token Budget Is a Security Control
Most teams treat token spend limits as cost management. They are blast radius containment. An autonomous agent with no spending ceiling is not a productivity tool — it is an uncontrolled liability.
10 min read
The AppSec Acceleration: Why Your Security Tools Can't See Agent Vulnerabilities
Traditional SAST, DAST, and SCA tools were built for request-response architectures. Agent-first systems have vulnerability classes these tools were never designed to detect — and independent research just confirmed it.
15 min read
Specification as Attack Surface: Why Ambiguity Is a Vulnerability in Agent-First Architectures
Ambiguous specifications aren't just a project management problem anymore. In agent-first architectures, every gap in a spec is a potential security boundary violation — and the agent won't tell you it's guessing.
11 min read
The OWASP Top 10 for Agentic AI Is Here — What It Means for Your Deployment
OWASP released its first Top 10 for Agentic Applications. Here's what each risk means, why traditional AppSec frameworks fall short, and how to start securing your AI agents today.
15 min read
The Interface Security Imperative
Every tool an agent can call is an attack surface. In agent-first architectures, the integration layer is the primary security boundary — and most teams aren't treating it that way.
5 min read
Palantirization and Safe Autonomy: The Same Bet
The trap a16z identified for FDE-model startups is identical to the trap facing AI agent deployments.
7 min read
Safe Autonomy for AppSec: Where AI Agents Actually Help
How the Safe Autonomy framework applies to vulnerability triage, alert correlation, compliance evidence, and security testing. AI agents can multiply your security team—if you build the right guardrails.
5 min read
Accountability Stays Human: The Accountability Proxy
Autonomy concentrates responsibility. Here’s why every agent needs a named human owner and runtime governance controls.
5 min read
Interfaces Define Capability and Risk
The integration surface isn’t an implementation detail — it’s the boundary that determines what autonomy can safely do.
5 min read
Structure Beats Prompts: ROBOT in the Wild
Same model, different outcomes: why supervision, specialization, triage, and long-horizon context management matter more than prompt cleverness.
5 min read
Reveal Is Not Optional: The Trust Layer Autonomy Can’t Skip
Why “show your work” is a control surface, not a UX detail — and how evidence packets, confidence bands, and verification gates prevent the false confidence tax.
5 min read
Safe Autonomy in the Real World: 4 Lessons from a Live Humans-vs-Agents Trial
A case-study-driven series on what changes when agents operate in messy reality: reveal, structure, interfaces, and human accountability.
5 min read
Agents, Accountability, and the Corporate Reality
Why enterprises don't fear autonomous AI — they fear unowned action. A look at why human accountability becomes more essential, not less, as agents grow more capable.
8 min read
The ROBOT Framework: A Practical Model for Building Production-Ready Agentic Workflows
A lightweight, enterprise-grade framework for designing safe, predictable, auditable agentic systems. Learn how Role, Objectives, Boundaries, Observability, and Taskflow turn ad-hoc automation into reliable operational workflows.