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Security toolkit that sanitizes and screens LLM prompts and responses.

LLM Guard is a security toolkit for large language model applications. It runs prompts and model responses through configurable scanners — prompt-injection and jailbreak detection, PII redaction, toxicity and bias checks, and secrets scanning — to sanitize input and validate output before it reaches users. It ships as a Python library you wrap around your own LLM calls, with the scanners running locally.

Security posture and threat detection for SaaS and AI agents.

Reco is a SaaS security platform that discovers and secures the apps, identities, and AI agents running across an organization. It maps human and non-human identities, surfaces shadow AI and misconfigurations, and detects threats across 200+ integrated applications. Its AI Agent Security adds visibility and control over autonomous agents like Copilot and Agentforce.

Open-source AI agents that pentest your app and prove findings.

Strix runs autonomous AI agents that behave like real attackers: they execute your code dynamically, explore the app through an HTTP proxy and headless browser, and surface vulnerabilities — then validate each with a working proof-of-concept instead of a static-analysis guess. It runs locally via Docker from the CLI, against a local codebase, a GitHub repo, or a black-box web target, with a hosted cloud version and GitHub Actions integration for CI.

The control plane for enterprise AI agents.

Credal is a platform for building, governing, and deploying enterprise AI agents and MCP servers powered by company data. It syncs and inherits permissions from 50+ source systems, redacts sensitive data, and logs every run for audit, so security and governance are woven into each agent. Teams ship no-code agents to surfaces like Slack, ChatGPT, and Claude while keeping centralized access controls and compliance.

Automated security validation that emulates real attacks to prove exploitable exposures.

Pentera is an automated security validation platform that safely emulates real-world attacks across internal networks, external attack surfaces, and cloud to show which vulnerabilities are genuinely exploitable. It maps complete attack paths, prioritizes remediation by proven risk, and re-validates after fixes. Its 2026 'Pentera 8' release added Pentera Peer, an agentic AI interface that lets teams direct testing and investigate findings in natural language.

Autonomous pentesting that safely runs real attacks in production to find exploitable risk.

Horizon3.ai's NodeZero platform runs autonomous, production-safe penetration tests that chain real attacker techniques — credential abuse, misconfigurations, and exploitable CVEs — across internal, external, cloud, and hybrid environments without deploying agents. It shows exactly how an attacker could move and what they would reach, prioritizes fixes by impact, and re-tests to verify remediation. It is sold to enterprises and government as continuous attack-surface validation rather than a once-a-year manual engagement.

All-in-one AppSec that finds and fixes vulnerabilities across code, cloud, and runtime.

Aikido Security consolidates the application-security toolchain — SAST, dependency/SCA scanning, secret detection, IaC and container scanning, CSPM, DAST, and API security — into one developer-facing platform. It deduplicates and prioritizes findings by real exploitability to cut alert noise, and its AI AutoFix proposes code changes to remediate issues. It is built for engineering teams that want broad coverage without stitching together separate point tools.

Agentic AI SOC platform that autonomously investigates and responds to alerts.

Prophet Security's agentic AI SOC platform triages, investigates, and responds to security alerts across endpoint, email, identity, cloud, and DLP sources, mimicking how an expert analyst reasons through an alert. Alongside its AI SOC Analyst it ships a threat hunter that surfaces suspicious patterns and a detection advisor that improves coverage and reduces noise. It connects to existing security tooling through bi-directional integrations spanning the investigation lifecycle.

Agentic SOC platform that detects, triages, investigates, and responds to threats.

Exaforce runs an agentic security operations center built around AI agents it calls 'Exabots' that detect threats, cut alert noise, investigate incidents, and execute response actions with analyst oversight. It combines large language models with semantic, statistical, and behavioral models, and integrates with 100+ sources spanning SIEMs, cloud, identity, and SaaS. Available as a self-managed platform or a managed detection and response (MDR) service.

Enterprise platform for AI security, governance, and trust.

Cranium helps enterprises see, secure, and govern the AI across their organization by discovering models, datasets, and pipelines and assembling them into an AI Bill of Materials (AI-BOM). It runs automated evaluations and red-teaming to surface unsafe behavior, configuration gaps, and compliance risk, and monitors AI systems in production. The platform targets security, risk, and compliance teams standing up responsible-AI programs.