Agentic AI Security Test Harness
82 Signals

Agentic AI Security Test Harness

A SaaS platform that continuously tests LLM apps, agents, MCPs, and AI workflows for prompt injection, data leakage, and adversarial abuse.

Added Jun 9, 2026

AI Security
Application Security
Developer Tools
Opportunity score

Medium opportunity (73%)

Loading score details

The Problem

Companies building LLM-backed applications are hiring specialized security engineers to manually assess prompt injection, model abuse, data leakage, and risks across agents and AI stack components. These threats are new, fast-moving, and hard to validate with traditional application security tools, especially when systems are non-deterministic and connected to enterprise data or tools.

Potential Solution

The product provides automated offensive testing for AI-enabled systems, including red-team scenario generation, prompt-injection probes, agent abuse simulations, data-exfiltration checks, and model/API boundary testing. It produces actionable risk reports, regression tests, and trust-layer policy recommendations that security and AI engineering teams can run before launch and continuously in CI/CD.

Why Now?

Enterprises are rapidly deploying LLM APIs, self-hosted models, agents, MCPs, and AI-powered features while job postings show a clear need for dedicated AI security expertise. Security teams need repeatable tooling because hiring offensive AI security specialists does not scale across every product team and release cycle.

Market validation
Search demand

Trend snapshot pending

Competition (0)

No matched competitors yet

Showing 1-20 of 82 signals

PodcastsSep 3, 2026
HiddenLayer nabs $100M as enterprises rush to secure their AI deployments; plus, AfterQuery reportedly becomes Y Combinator’s fastest-ever unicorn
TechCrunch Startup News
S2

The Austin-based startup broadly still sells what it used to in 2023, but Sestito told TechCrunch that the biggest change it's had to make was to extend its existing products discovery, runtime protection, attack simulation, and supply chain security to address prompt injection, agent manipulation, and malicious tool use. Sestito said inference is still inference, so whether it's on a traditional machine learning model, whether it's Gen AI, whether it's an agentic work stream, a lot of our technology still applied. So really, we haven't had to pivot, but we've had to grow our scope from traditional modeling to Gen AI to agentic. Sestito addressed that runtime security has especially become a priority as AI deployments grow common across businesses and likened it to traditional endpoint detection and response solutions, but specifically for AI.

PodcastsAug 24, 2026
Can AI Be Hacked? Real Exploits Explained
InfosecTrain
S1

OWASP testing guide right now AI pen testing large language models are the scope your rag pipe apps are the scope your AI co-pilots autonomous agents and machine learning models so similar attacker mindset but adaptive for AI so adaptive for AI so prompt injection testing model extraction and inversion attacks data poisoning and training and or embeddings adversarial input crafting agent tech tool abuse Now what are the common vulnerabilities Sensitive data data leakage Sensitive data leakage via prompt jail breaking guardrails Sensitive data leakage via prompt jail breaking guardrails Manipulating embeddings leading to false output Now next we have mapping threats to frameworks Right so we have few frameworks for The three which I have written Lindo Now very first one which we have Miter atlas Miter atlas Miter atlas Now Miter atlas is specifically for Miter atlas right so atlas is a

RedditAug 19, 2026
r/AI_Agents
Plimsoll: an agent skill for testing prompt injection, leaks, and tool abuse

I’ve been working on LLM/agent security for a while now, mostly around prompt injection, jailbreaks, leaks, tool abuse, and where the actual security boundary sits once a model starts using tools. Getting accepted into Anthropic’s Cyber Verification Program gave me a bit more room to push that work further, and I’ve been gradually turning it into **Plimsoll**. It’s an open-source agent skill for red-teaming LLM apps and agents.

Unlock 79 more signals

Go beyond the grade and inspect the evidence behind this opportunity.

Job ads

See which companies and roles are investing in this problem.
66 more

Podcast evidence

Read the exact transcript passages behind the idea.
10 more

Google Trends

Explore search interest, history, and momentum over time.
1 more