Fluid Attacks

Developer-first security platform

Snyk is the leading developer security platform providing continuous scanning for vulnerabilities in code (SAST), open-source dependencies (SCA), container images, and infrastructure as code. Integrates directly into IDEs, Git repositories, CI/CD pipelines, and container registries. Features AI-powered fix suggestions, license compliance checking, and real-time vulnerability database. Free for individual developers with paid plans for teams. Supports 30+ programming languages.

Fast open-source SAST with custom rules

Semgrep is an AppSec platform with a widely used open-source engine for readable code rules plus commercial SAST, supply-chain and secrets workflows. Current product positioning emphasizes AI-assisted detection, triage and remediation, CI/pull-request integration and managed governance for security teams.

Enterprise application security testing platform

Checkmarx is an enterprise application security testing platform providing SAST, SCA, DAST, API security, IaC scanning, and container security in a unified solution. Features AI-powered vulnerability detection, automated remediation guidance, and correlation across scan types to prioritize the most critical risks. Supports 30+ programming languages with deep framework-specific rules. Integrates with all major IDEs, Git platforms, and CI/CD pipelines. Used by Fortune 500 companies globally.

Microsoft’s public-preview runtime governance toolkit for policy, identity, sandboxing, audit, and MCP security around AI agents.

Agent Governance Toolkit is Microsoft’s MIT-licensed public-preview toolkit for governing AI agent runtimes. It adds policy enforcement, zero-trust identity, execution sandboxing, audit, reliability, and MCP security-gateway patterns around tool calls and autonomous actions, helping platform teams move beyond prompt-only guardrails while preserving architecture review requirements.

Telemetry-aware AI code reviewer that checks how pull requests may affect real services.

Baz is an AI code-review platform focused on production-aware pull requests. Instead of only reading the diff, Baz connects code changes to application telemetry so reviewers can understand what endpoints, services, and runtime behavior may be affected. That makes it a useful complement to existing AI PR bots when the question is not just whether a change looks correct, but whether it could break a live system.

Microsoft’s pytest-native red teaming framework for turning AI agent safety findings into CI tests.

RAMPART is an open-source Microsoft framework for safety and security testing of agentic AI applications. It brings red-team findings into a pytest-native workflow so teams can turn prompt injection, unsafe tool use, and behavioral boundary failures into repeatable regression tests. The strongest aicoolies angle is developer workflow: RAMPART makes agent safety part of CI/CD instead of a one-off security review.

State-machine guardrails for controlling which tools AI coding agents can use at each phase.

Statewright is a guardrail layer for AI coding agents that uses explicit state machines to control what an agent can do at each stage of a workflow. Instead of relying only on prompt instructions, teams can model phases such as plan, implement, test, and review, then constrain tool access for clients like Claude Code, Codex, Cursor, opencode, and related MCP workflows.

AI-powered file-type detection at Google scale

Open-source AI-powered file-type detection tool from Google that uses a custom deep-learning model under a few megabytes to identify more than 200 binary and textual content types in milliseconds, even on a single CPU. Magika ships as a CLI, Python package, JavaScript/TypeScript library, and an ONNX model, achieves around 99% accuracy on its test set, and is already used at Google scale across Gmail, Drive, and Safe Browsing as well as by VirusTotal and abuse.ch.

Agentic AI security posture management

Trent AI is a specialized security platform for agentic AI applications providing AI Security Posture Management that compounds with every development cycle. Scans, judges, mitigates, and evaluates AI agent security detecting threats traditional tools miss including prompt injection attacks, tool misuse, unintended autonomous actions, data exfiltration through agent chains, and privilege escalation. Offers continuous assessment with remediation plan execution through Claude Code.