Overseer AI vs Push Security

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

Analysis generated Live tool data as of 2026-10-30
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Overseer AI or Push Security: which should you choose?

DimensionOverseer AIPush Security
PricingFreemiumFreemium
Primary FocusAI safety API for content moderation of LLM outputsBrowser security against AI-powered attacks and data leakage
Key FeatureReal-time Validate() API with custom policies, multi-model supportAdversary-in-the-middle phishing detection, session hijacking, AI tool visibility
IntegrationsOpenAI, Anthropic, Hugging Face, LangChain, AWS, GCP, AzureOkta, Azure AD, Google Workspace, Slack, Splunk, Snowflake
DeploymentCloud API or self-hosted via open-sourceCloud-based (browser extension)
Best ForDevelopers requiring safe LLM outputs with minimal latencySecurity teams needing browser attack visibility and AI tool governance

Choose Push Security if your top concern is browser-based attacks (AiTM, session hijacking) and controlling shadow AI tool usage by employees. Choose Overseer AI if you need a lightweight, developer-friendly API to moderate LLM outputs in real time. They address different layers of the AI security stack—one focuses on the user's browser, the other on the application's output.

Try Overseer AITry Push Security
Overseer AI
Overseer AI

Overseer AI validates LLM outputs in real time, returning an isAllowed boolean plus safe replacement text before anything risky reaches your users.

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Push Security
Push Security

Browser security extension that stops AiTM phishing and ClickFix and gives you shadow AI visibility

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Pricing
Freemium
Paid
Plans
DeveloperFree
AI System DevContact for pricing
StartupContact for pricing
CustomContact for pricing
Standard$5/user/mo
EnterpriseCustom
Popularity
6 views
7.5k views
Skill Level
Intermediate
Advanced
API Available
Platforms
API
Web
Categories
🛡️ AI Governance & Guardrails
🚨 Threat Detection & SOC🔒 Security & Privacy
Features
Validate() API returns an isAllowed boolean plus optional replacement text
Swap flagged LLM output for a safe fallback message before it reaches users
Provider-agnostic validation layer decoupled from any single LLM vendor
Custom safety policy creation and enforcement per AI system
Safety analytics suite tracking safe response %, compliant response %, and LLM accuracy
Failure timestamps surfaced instead of user content, preserving privacy
JavaScript SDK published on GitHub and npm (@overseerai/sdk)
Python SDK for backend integration
Open-source API for self-hosting
Open-source models: BrandSafe-16k and vision-1
Custom AI safety model training for industry-specific or internal rules
Safety and compliance consulting for global AI law navigation
Dashboard flow from API key creation to policy configuration to filtering
Community-driven policy templates
Real-time AiTM reverse-proxy phishing detection and blocking in the browser
Cloned login page, Browser-in-the-Browser (BitB) and Browser-in-the-Middle (BitM) detection
ClickFix clipboard injection blocking at the point of interaction
Device code phishing detection that catches token theft bypassing MFA and passkeys
ConsentFix and malicious OAuth consent monitoring, blocking and app removal
Session hijacking, credential attack and URL blocking with custom detection rules
Mail forwarding rule monitoring for Microsoft 365 and Google
Malicious browser extension detection, risk scoring, removal and default-deny allowlisting
Extension supply chain change monitoring for ownership transfers and permission escalations
Shadow AI app discovery and agentic browser detection for Comet, Atlas and Dia
AI prompt and data-input monitoring, AI clipboard monitoring and blocking, AI file upload monitoring
AI OAuth and agent permission monitoring plus AI usage policy enforcement
Autonomous threat hunting agents that write detection rules and deploy blocks
Configurable response modes per control: monitor, warn or block, with screenshot capture
Ghost login detection, non-SSO login visibility, MFA guardrails and shared account detection
Integrations
Anthropic
Proofpoint
Okta
Google Workspace
Microsoft 365
Microsoft Teams
Microsoft Sentinel
Datadog
Splunk
SentinelOne
Slack

What do real users say about Overseer AI 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.

Overseer AI

No verifiable community signal. We scanned public discussion on Sep 23, 2026 and found posts matching the name “Overseer AI”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Push Security

31 mentions across 3 sources · 50% positive — mixed (weighted across 3 sources)

Hacker News, YouTube, Lemmy

What users praise

  • • Covers AiTM, ClickFix, BitB/BitM and device-code phishing in one browser layer
  • • No endpoint agent and no forced enterprise-browser migration
  • • Published $5/user/month pricing under 500 seats with self-serve trial
  • • Shadow AI and agentic browser detection (Comet, Atlas, Dia) is ahead of most rivals

What frustrates them

  • • No genuine user reviews in the scraped data to validate detection accuracy
  • • Advanced tuning and custom rules may overwhelm teams without a security engineer
  • • Browser-only coverage leaves native-app and CLI attack paths unmonitored
  • • Vendor-sourced threat statistics are not independently corroborated in the data

Researched Oct 30, 2026

Who should pick Overseer AI, and who should pick Push Security?

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

    Protects against browser-based attacks like AiTM phishing and session hijacking, plus monitors shadow AI tool usage.

  • Developer building an AI chatbot
    Pick: Overseer AI

    Easily integrates Validate() API to filter harmful outputs from LLMs with low latency and custom policies.

  • Compliance officer enforcing AI regulations
    Pick: Push Security

    Provides browser visibility into AI tool interactions for compliance with US, EU, UK AI regulations (per latest news).

  • DevOps team needing self-hosted moderation
    Pick: Overseer AI

    Open-source API allows self-hosting and customization for data sovereignty.

Frequently Asked Questions

Overseer AI vs Push Security: which should you choose?

Choose Push Security if your top concern is browser-based attacks (AiTM, session hijacking) and controlling shadow AI tool usage by employees. Choose Overseer AI if you need a lightweight, developer-friendly API to moderate LLM outputs in real time. They address different layers of the AI security stack—one focuses on the user's browser, the other on the application's output.

Can Push Security detect LLM prompt injection?

No, it focuses on browser-level threats like AiTM phishing and AI tool data leakage, not LLM input validation.

Does Overseer AI work with any LLM?

Yes, it supports all major LLM providers via a unified API.

Is Push Security suitable for small businesses?

The 'not for' list suggests small businesses with minimal browser attack surface may not benefit as much; it's best for security-conscious teams.

Can Overseer AI moderate images?

No, it only handles text inputs/outputs.

Does Push Security require installing a browser extension?

Yes, it deploys as a browser extension to collect telemetry.

Is Overseer AI's open-source version fully functional?

Yes, the open-source API supports self-hosting with all core features.

What else are Overseer AI and Push Security compared with?

Amplitude vs Push Security comparison

These are not competitors, and you should not shortlist them against each other. Push Security answers a security question — how do you stop browser-based phishing (AiTM, ClickFix, device code, consen

Sentry vs Push Security comparison

These two don't compete for the same budget, so there's no either/or decision here. Buy Push Security if you're a security or identity team watching AiTM phishing, ClickFix, device-code phishing, and

Datadog vs Push Security comparison

These are not substitutes — they're different layers of a security/ops stack. Buy Datadog if your problem is observability, cloud posture, or AI-workload monitoring across multi-cloud infrastructure;

Looker vs Push Security comparison

These two are not competitors and shouldn't be evaluated head-to-head — they solve different problems for different budget owners. If your problem is browser-borne attacks (AiTM reverse proxies, Click

Power BI vs Push Security comparison

These are not competitors, so there is no 'either/or' decision here — shortlisting both in one evaluation would be a category mistake. If your problem is browser-delivered credential theft, AiTM rever

Tableau vs Push Security comparison

There is no buying decision here. Push Security protects browsers from AiTM, ClickFix, device code and consent phishing and gives security teams visibility into shadow AI usage at roughly $5/user/mont

Where can you read more about Overseer AI and Push Security?

Overseer AI
View Overseer AI reviewOverseer AI alternatives
Push Security
View Push Security reviewPush Security alternatives

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Best AI AI Governance & Guardrails toolsBest AI Threat Detection & SOC toolsBest AI Security & Privacy tools
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Analysis generated by our model pipeline from live data: