Secure the agent beforeyou trust it in production.
An AI agent gets compromised four ways: a poisoned server you install, an injection it reads, a memory it keeps, and a credential it holds. This bundle is one gate for each surface — trust, injection, memory, and identity. Four RedHub Systems, one honest standard, $47 less than buying them separately.
The agent works. That isn't the same as the agent being safe.
A memory-enabled agent that reads documents, calls third-party tools, and holds its own credentials has a wider attack surface than any app you’ve shipped — and the failure modes are new: a poisoned MCP server, an instruction hidden in a web page, a lie written into memory and recalled as truth, an API key nobody can revoke.
Agentic security isn't one check; it's four — what you install, what it reads, what it remembers, and what it can reach. This bundle is those four gates as one toolkit, so you grade the agent before you trust it in production instead of finding out after.
Four gates. One agent.
Each gate is the same full product sold on its own page — including its runnable engine, workbook, and sample data, nothing trimmed for the bundle. Click any card to see the individual product page.
MCP Server & Skill Trust Gate
The supply chain: grade a third-party MCP server or agent skill on six trust signals before you install it — so a clean-then-poisoned update can't reach your secrets unapproved.
View productIndirect Prompt-Injection Exposure Gate
The input surface: grade an agent's exposure to a hidden instruction in a page, email, or document — with a kill-chain gate that catches when an injection can enter, act, and go uncaught.
View productAgent Memory & Context Poisoning Exposure Probe
The memory: probe whether bad data written into an agent's memory or RAG index gets recalled as ground truth across every future session — the persistence an injection leaves behind.
View productNon-Human Identity & Credential Sprawl Gate
The credentials: grade the service accounts, API keys, and tokens the agent runs on — so a leaked or orphaned secret isn't both reachable and un-killable when it matters.
View productBought separately: $316 · Bundle: $269 — you save more than half of one gate.
One agent. Four surfaces. The whole kill-chain.
Before you connect it
The Trust Gate decides whether a third-party MCP server or skill should be installed at all. The agent's attack surface starts with what you plug into it — so the first gate is the supply chain.
While it runs
The Injection Gate grades whether a poisoned page or document can hijack the agent, and the Memory Probe grades whether that poison persists in the store and gets recalled as truth — the live attack and the residue it leaves.
What it can reach
The Identity Gate grades the credentials behind it all — because an injected or compromised agent is only as dangerous as the keys it holds and how fast you can revoke them.
An agent that clears all four — trust, injection, memory, identity — is one you can put into production. That’s the whole job: an honest green light, earned across every surface an attacker would use.
The honesty is the security.
A security gate is only worth running if it refuses to wave a real exposure through. Every tool in this stack holds the same RedHub standard — surface the fault, name the control to fix first, and don’t average a catastrophe down to a passing score.
A gate, not a vibe
Each tool returns a deterministic verdict from your own marks, with the one control to fix first named. No 'looks secure to me' — a score, a gate, and a next action, the same in the demo, the workbook, and the runnable engine.
The weak link is the verdict
Every gate here overrides a flattering average when a single fault is catastrophic — credentials and approval both weak, the injection kill-chain open, regulated secrets un-revocable. One real exposure fails the surface, no matter how the rest scores.
Grades the design, not your team
Every verdict points to a control to harden, never a judgment of whoever built the agent. The honest outcome is sometimes 'don't ship it yet' — and that's the gate working, not failing.
For anyone shipping an agent into the real world.
Teams shipping agents into production
If your agent reads untrusted content, keeps a memory, calls third-party tools, and holds credentials, these are the four ways it gets compromised — each graded before you ship, not after the incident.
Founders & platform owners
One repeatable security baseline across every agent you deploy — the install decision, the injection exposure, the memory integrity, and the credential posture, in one standard.
Security & IT reviewing AI
A structured, deterministic read on the agentic attack surface for a pre-deployment review — four OWASP-aligned gates that name the control to fix first, with nothing connecting to your systems.
One purchase. Four gates. Save $47.
- MCP Server & Skill Trust Gate$79
- Indirect Prompt-Injection Exposure Gate$79
- Agent Memory & Context Poisoning Exposure Probe$79
- Non-Human Identity & Credential Sprawl Gate$79
- Bought separately$316
Already own one of these gates? Each stands alone — buy the bundle only if two or more fit how you ship. See all RedHub bundles for the AI Audit & Accountability Bundle and the AI Reliability Operations Bundle.
Answers before you ask.
Four RedHub Systems that gate the four attack surfaces of an AI agent: the MCP Server & Skill Trust Gate ($79), the Indirect Prompt-Injection Exposure Gate ($79), the Agent Memory & Context Poisoning Exposure Probe ($79), and the Non-Human Identity & Credential Sprawl Gate ($79). Bought separately they total $316; the bundle is $269, so you save $47 — more than half of one gate.
Because an AI agent is attacked across four surfaces, and these are one gate for each: what you install (a poisoned MCP server or skill), what it reads (an indirect prompt injection), what it remembers (a poisoned memory or RAG store recalled as truth), and what it can reach (the credentials and machine identities behind it). An injection that lands, persists in memory, and reaches an un-revocable key is the whole agentic kill-chain — these four gates grade each link before it becomes a breach.
No. Each gate stands alone and is sold on its own page. The bundle is for teams shipping real agents, where all four surfaces apply and the discount makes taking the set the obvious move. If only one surface is live for you today, buy that one.
Yes. The bundle includes the full, individual products — exactly as sold on their own pages, each with its runnable Python engine, workbook, playbooks, and sample data. Nothing is trimmed for the bundle.
No. Every gate is deterministic and offline — it scores the design and posture you describe from your own marks. None of them execute code, scan a running system, or receive your data. They're decision aids that name the control to fix first, not scanners, red-team tools, or penetration tests.
Different lane. The AI Audit & Accountability Bundle ($269) evidences how your AI is governed after the fact — access, audit trails, disclosure, and data-flow records. This Agentic AI Security Bundle grades the agent's security posture before you ship: the install decision, injection exposure, memory integrity, and credential sprawl. One proves governance; this one prevents compromise.
30-day no-questions refund on the bundle. Run the gates on a real agent this week. If the set doesn't surface an exposure worth more than the price, email us and we refund.
Don’t ship an agent
you never gated.
Four gates for the four ways an AI agent gets compromised — what you install, what it reads, what it remembers, and what it can reach. $47 less than buying them separately.
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