About aiXcheck

We build the defensive half of the agentic revolution.

Every organization is racing to deploy AI agents that can read email, call tools, move money, and take actions on behalf of humans. Almost none of them have tested what happens when an adversary is on the other end of that tool call. That's the gap we close.

Mission

Make agentic AI safe enough to deploy in production.

The old web security playbook — scan, patch, WAF — was built for deterministic software. AI agents are non-deterministic, they use tools, they talk to other agents, and they can be socially engineered. Defending them requires a new stack. We're building it.

AI-native

Every product we ship is designed for the behavior of LLMs and agents, not retrofitted from web-app scanners.

Offense-informed

We maintain a library of 130+ real attack patterns derived from CVEs, red-team research, and public incidents.

Compliance-ready

Built from day one to produce the evidence the EU AI Act — and the auditors that enforce it — actually ask for.

Human-in-the-loop

Automation does the boring work. Security engineers stay in control of what happens with the findings.

Principles

How we build

Four rules we apply to every product decision.

01 · Controlled, always

Every attack we run is scripted, rate-limited, and safe to execute against production systems.

02 · Measurable outcomes

If it can't be scored, quantified, or put in an audit log, it doesn't ship.

03 · Evidence over opinions

We replace ‘we think it's secure’ with ‘here is the run, the baseline, and the finding’.

04 · Open where it matters

We publish our attack taxonomy, scoring methodology, and compliance mappings so security teams can trust them.

Roadmap

Two products. One mission.

Shipping now · AgentGuard

Automated red-teaming for AI agents

130+ attack patterns across 8 categories, behavioral baselining, Security Score, EU AI Act reports.

See AgentGuard →

Q3 2026 · LLM Supply Chain Scanner

Continuous supply-chain security for AI stacks

SBOM-for-LLMs, CVE matching for agent frameworks, provenance verification for models and datasets.

Join waitlist →

Talk to the team.

Have a red-team engagement, a compliance deadline, or a partnership question? Get in touch.

Contact aiXcheck