T3MP3ST vs Push Security

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-01
Cross-checked through our multi-step verification ·
Saved

At a glance

DimensionT3MP3STPush Security
PricingFree (open-source, AGPL-3.0)Freemium (free tier + paid plans)
Target Use CaseLLM red-teaming: autonomous adversarial testing of language modelsBrowser security: AI-powered attack detection and AI tool control
Key FeatureMulti-agent orchestration, prompt injection, jailbreak testing, automated vulnerability detectionAdversary-in-the-middle phishing detection, ClickFix/ConsentFix blocking, session hijacking detection
IntegrationsNo listed integrations; API-based LLM backend supportOkta, Azure AD, Google Workspace, Slack, Splunk, Snowflake
DeploymentSelf-hosted, no cloud dependency; CLI and browser War RoomCloud-based (browser extension across Chrome, Edge, Firefox, Brave)
Best ForAI safety researchers, red-team engineers evaluating LLM robustnessSecurity/identity teams needing visibility into browser-based attacks and AI tool usage

Push Security and T3MP3ST are not direct competitors—they solve different problems. If you're a security team looking to detect browser-based attacks (AiTM, session hijacking) and control employee AI tool usage with real-time policy enforcement, Push Security is the right choice. If you're an AI safety researcher or red-teamer who needs an autonomous, open-source framework to stress-test LLMs via prompt injection and jailbreak attacks, go with T3MP3ST. Pick based on your threat model: external browser attacks + AI governance vs. internal LLM robustness evaluation.

T3MP3ST
T3MP3ST

Keyless multi-agent red-teaming framework that turns your coding agent into a zero-day hunter

Visit Website
Push Security
Push Security

Browser-native security that stops AI-driven attacks and secures employee AI usage

Visit Website
Pricing
Free
Freemium
Plans
$0
$5/user/month
Custom
Popularity
4 views
7.5k views
Skill Level
Advanced
Advanced
API Available
Platforms
CLI
Web
Categories
🔐 Application & Code Security🛡️ AI Governance & Guardrails
🚨 Threat Detection & SOC🔒 Security & Privacy
Features
Multi-agent orchestration for autonomous kill chains (recon → exploit → report)
Browser-based War Room interface
CLI interface for command-line control
Keyless integration with Claude Code, Codex, Hermes, OpenCode, Oh My Pi
Offline model support via Ollama, LM Studio, vLLM
Black-box web app recon-to-exploit (XBEN suite)
Hint-free CTF solve capability (Cybench)
Coordinated-disclosure pipeline for embedded/robotics/OT (OSV + live-PoC + refuter)
White-box source code analysis with multi-language ingest via web-tree-sitter
Smart contract vulnerability reproduction (Damn Vulnerable DeFi)
Cloud IaC misconfig detection scaffolding (cloud:bench)
Mobile static analyzer for manifest misconfigs and secret/cleartext detection
Binary reverse engineering static sink detector (unsafe-copy, format-string, cmd-injection, int-overflow)
Reproducible benchmark claims with npm run verify-claims (27/27 green)
Modular plugin architecture for custom attack strategies
Behavioral phishing detection
Adversary-in-the-Middle (AiTM) phishing detection and blocking
ClickFix / clipboard injection blocking
Device code phishing detection and blocking
Malicious OAuth consent blocking
Session hijacking detection
Credential stuffing detection
Ghost login detection and SSO guardrails
MFA enforcement via in-browser guardrails
Shadow AI app discovery and inventory
AI prompt and data input monitoring
AI file upload monitoring and blocking
Agentic browser detection (Comet, Atlas, Dia)
Autonomous threat hunting agents
Browser extension inventory, risk scoring, and blocking
Integrations
Claude Code
Codex
Hermes
OpenCode
Oh My Pi
Ollama
LM Studio
vLLM
Docker
Okta
Google Workspace
Microsoft 365
Microsoft Teams
Microsoft Sentinel
Datadog
Splunk Cloud
SentinelOne
Slack
Webhooks
REST API

What real users say: T3MP3ST vs Push Security

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

T3MP3ST

31 mentions across 4 sources · 53% positive — mixed

Hacker News, Bluesky, GitHub, Lemmy

What users praise

  • Autonomous multi-agent orchestration reduces manual oversight for red-teaming.
  • Modular plugin architecture enables custom attack strategies and extensibility.
  • Free, open-source, and self-hosted with no cloud dependency.
  • Keyless operation using existing AI coding agents like Claude Code.

What frustrates them

  • CLI detection fails for common tools like Claude Code and Codex CLI.
  • Setting up local LLM (e.g., Ollama) is poorly documented.
  • No guidance for adding authentication headers in web scans.
  • Essential documentation for basic configuration is missing or confusing.

Researched Jul 16, 2026

Push Security

30 mentions across 3 sources · 43% positive — mixed

Hacker News, YouTube, Lemmy

What users praise

  • Works as a lightweight extension across all major browsers without forcing a single proprietary browser.
  • Detects advanced threats like AiTM phishing, ClickFix, session hijacking, and malicious OAuth flows.
  • Autonomous hunting agents analyze browser telemetry to write and deploy detection rules at machine speed.
  • Provides comprehensive AI usage governance: inventory, prompt monitoring, file upload blocking, and unsanctioned app control.

What frustrates them

  • No independent community feedback or real-user reviews available to verify claims.
  • Requires advanced security expertise to configure and interpret telemetry effectively.
  • High-fidelity telemetry collection may trigger privacy and compliance red flags.
  • Potential for false positives in blocking legitimate OAuth and extension actions.

Researched Aug 26, 2026

Who should pick which

  • Security team lead at a mid-size company
    Pick: Push Security

    You need to protect employees from browser-based attacks like AiTM phishing and session hijacking, and control which AI tools they can use. Push Security provides real-time detection and policy enforcement across all major browsers without requiring a new enterprise browser.

  • AI safety researcher evaluating LLM robustness
    Pick: T3MP3ST

    You need an autonomous, extensible framework to continuously stress-test LLMs with prompt injections, jailbreaks, and adversarial inputs. T3MP3ST's multi-agent orchestration and self-hosted nature fit your need for customization and control.

  • CISO concerned about shadow SaaS and ghost logins
    Pick: Push Security

    Push Security's ghost login and shadow SaaS discovery features let you detect unmanaged application usage by employees. Combined with MFA registration guardrails, this strengthens identity governance.

  • DevSecOps engineer building secure LLM applications
    Pick: T3MP3ST

    You need to integrate continuous red-teaming into your CI/CD pipeline for LLM-based features. T3MP3ST's automated detection, severity ratings, and extensible tooling allow you to catch vulnerabilities early.

  • Small business with limited IT staff
    Pick: Push Security

    If your team uses browsers and AI tools but has no dedicated security personnel, Push Security's freemium model and automated threat hunting can provide essential protection without heavy management overhead. T3MP3ST requires technical expertise to operate.

Frequently Asked Questions

T3MP3ST vs Push Security: which should you choose?

Push Security and T3MP3ST are not direct competitors—they solve different problems. If you're a security team looking to detect browser-based attacks (AiTM, session hijacking) and control employee AI tool usage with real-time policy enforcement, Push Security is the right choice. If you're an AI safety researcher or red-teamer who needs an autonomous, open-source framework to stress-test LLMs via prompt injection and jailbreak attacks, go with T3MP3ST. Pick based on your threat model: external browser attacks + AI governance vs. internal LLM robustness evaluation.

Can Push Security prevent data leakage to AI tools like ChatGPT?

Yes, Push Security includes in-browser data loss prevention for AI tools, monitoring clipboard and file uploads, and allows you to enforce usage policies in real time.

Does T3MP3ST require an API key for LLM access?

Yes, T3MP3ST integrates with multiple LLM backends via API, so you need to provide your own API keys for the models you want to test.

Is Push Security compatible with mobile devices?

Push Security includes mobile phishing detection via SMS/QR codes, but its browser extension primarily works on desktop browsers (Chrome, Edge, Firefox, Brave).

Can T3MP3ST be used for production-level continuous monitoring?

T3MP3ST is designed for continuous security validation and can be run autonomously, but it is self-hosted and requires dedicated infrastructure. It's not a managed service.

Which tool is better for compliance with AI regulations?

Push Security's AI tool visibility and control can help meet compliance obligations according to its recent news. T3MP3ST helps ensure LLM robustness, which may support compliance indirectly but doesn't directly address usage monitoring.

Does T3MP3ST provide a GUI?

Yes, T3MP3ST offers a browser-based War Room interface, but it also has a CLI for advanced users.

Is Push Security suitable for blocking malicious browser extensions?

Yes, Push Security detects and blocks malicious browser extensions, which is a listed feature.

Can I use T3MP3ST to test any LLM?

Yes, as long as the LLM provides an API, you can integrate it with T3MP3ST's modular architecture.

More T3MP3ST or Push Security comparisons

Explore each tool further

Browse these categories

Still deciding? Get the weekly AI tools brief

One email a week — new tools, honest comparisons, no spam.

Last reviewed: July 16, 2026