Two things stand out.
First, it finds **real, actionable** problems across code, dependencies, cloud and runtime in one place —
not a wall of noise. In a single week it flagged a **Critical remote-code-execution vulnerability buried
in a transitive dependency** (several layers down in our stack, the kind you'd never catch by eye) and
genuine **XSS sinks in shipping frontend code**. The **reachability analysis — the "does this actually
affect me?"** — is the real differentiator: it tells you which findings are exploitable in *your*
environment, so triage is minutes instead of drowning in severities.
Second, and this is where it's genuinely ahead of the pack: **the MCP server.** We build with AI coding
agents, and Aikido's MCP lets an agent **scan its own work in the loop** — write the code, call Aikido via
MCP, get findings back, fix them, *before anything merges*. That folds professional-grade security scanning
directly into a **fast-moving, agent-driven CI/CD pipeline**. As development shifts to agentic workflows,
the scanner being something the **agent can call itself** — rather than a separate gate a human has to
remember to run — is exactly the right design. It's the difference between security bolted on at the end and
security **in the loop** while the code is being written. For teams moving fast with AI, that's the feature
that matters.
Consolidating SAST, SCA/dependencies, secrets, IaC and cloud into one tool is also just less overhead than
stitching point solutions together. Review collected by and hosted on G2.com.
A couple of MCP rough edges. The **findings feed wasn't exposed to the MCP by default** for our workspace
(we had to enable it), and the local scan **occasionally timed out** under load. Both minor, and the core
scanning is rock-solid — but exposing the full findings feed to the MCP **out of the box** would make the
agentic loop even tighter, which is where a lot of the future value is. Review collected by and hosted on G2.com.
