Credal.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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Credal.ai or Push Security: which should you choose?

DimensionCredal.aiPush Security
PricingFreemium (custom enterprise)Freemium (custom enterprise)
Primary FocusAI governance (agent building, policy enforcement)Browser security (attack detection, AI data protection)
DeploymentCloud, single-tenant, on-premCloud-based browser extension + agents
Key IntegrationsGoogle Drive, Snowflake, Zendesk, Jira, OneDrive, Box, BigQuery, Slack, SharePoint, Notion, Salesforce, AWS S3Okta, Azure AD, Google Workspace, Slack, Splunk, Snowflake
Unique StrengthNo-code agent builder + action-level governanceReal-time browser telemetry + AI agentic threat hunting
Latest News HighlightNo recent news provided2026-06-26: Documented poisoned tenant attack; advocates browser controls over training

Choose Push Security if your primary concern is browser-borne attacks (AiTM, ClickFix, session hijacking) and securing AI tool usage at the browser edge — it offers real-time detection and agentic threat hunting that EDRs miss. Choose Credal if your priority is centrally governing AI agents and their data access across enterprise sources, with no-code building and robust permission mirroring. They address different layers: Push protects the browser as the attack surface, while Credal governs AI actions and data flow.

Credal.ai
Credal.ai

Enterprise MCP platform where teams build, curate, and govern MCP servers with permissions inherited from the source systems.

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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
Contact Sales
Paid
Plans
EnterpriseCustom
Standard$5/user/mo
EnterpriseCustom
Popularity
4 views
7.5k views
Skill Level
Intermediate
Advanced
API Available
Platforms
WebAPIPlugin
Web
Categories
🛡️ AI Governance & Guardrails🕸️ Agent Frameworks & Orchestration
🚨 Threat Detection & SOC🔒 Security & Privacy
Features
MCP server builder from 1,000+ enterprise connectors
No-code Agent Builder for configuring agents on your own context
Centralized MCP and Agent Registry with version control and rollback
Automatic permission inheritance and sync from every connected source
Query-time permission enforcement, not just ingestion-time filtering
Scoped tools: expose only the tools an agent needs and hide the rest
Enforced tool parameters (e.g. region = EMEA, row_limit ≤ 500)
Enforced standing instructions shared per MCP server
RBAC for sharing MCP servers and skills across teams
Cross-surface governance across Claude, ChatGPT, Cursor, Slack, or your own apps
Consolidated audit logging with SIEM export
AI spend attribution per team, workflow, and model
Model-swap optimization recommendations with accuracy evidence
Human-in-the-loop approvals and action-level governance
Multi-agent workflows via chained specialized agents
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
Google Drive
Slack
Confluence
Salesforce
Snowflake
SharePoint
Jira
Zendesk
Proofpoint
Okta
Google Workspace
Microsoft 365
Microsoft Teams
Microsoft Sentinel
Datadog
Splunk
SentinelOne

What do real users say about Credal.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.

Credal.ai

28 mentions across 3 sources · 60% positive — mixed (averaged across 3 sources)

Hacker News, YouTube, Product Hunt

What users praise

  • • Human-in-the-loop rules based on tool call arguments—huge for safety.
  • • Automatic permission mirroring from sources like Drive and Slack saves time.
  • • Centralized MCP and agent registry with version control aids governance.
  • • Model-agnostic support for OpenAI, Anthropic, Azure, and self-hosted LLMs.

What frustrates them

  • • Data handling details are opaque—users worry about server-side processing.
  • • No clear way to prevent employees from bypassing the platform for consumer tools.
  • • Limited independent reviews and real-world adoption stories available.
  • • Pricing is contact-only, making it hard to gauge value for SMBs.

Researched Aug 27, 2026

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 Credal.ai, and who should pick Push Security?

  • Security Operations Analyst
    Pick: Push Security

    Push provides real-time detection and blocking of browser-based attacks (AiTM, ClickFix, session hijacking) that bypass EDR, plus agentic threat hunting that reduces manual investigation time.

  • AI Governance Officer
    Pick: Credal.ai

    Credal offers centralized control over AI agents with permission mirroring, human-in-the-loop approvals, and full audit logs, essential for compliance with emerging AI regulations.

  • IT Administrator
    Pick: Credal.ai

    Credal’s no-code agent builder and 50+ integrations enable IT to deploy governed AI agents across departments without custom development, while enforcing RBAC and data policies.

  • CISO
    Pick: Push Security

    Push addresses the convergence of AI-driven attacks and unmanaged AI tool usage at the browser level — a growing attack surface that traditional security tools miss.

  • Compliance Manager
    Pick: Credal.ai

    Credal’s detailed audit logs, PII redaction, and action governance provide the transparency needed to demonstrate compliance with frameworks like GDPR, SOC 2, or AI regulations.

Frequently Asked Questions

Credal.ai vs Push Security: which should you choose?

Choose Push Security if your primary concern is browser-borne attacks (AiTM, ClickFix, session hijacking) and securing AI tool usage at the browser edge — it offers real-time detection and agentic threat hunting that EDRs miss. Choose Credal if your priority is centrally governing AI agents and their data access across enterprise sources, with no-code building and robust permission mirroring. They address different layers: Push protects the browser as the attack surface, while Credal governs AI actions and data flow.

Can Push Security detect session hijacking after the user is authenticated?

Yes, Push detects session hijacking by analyzing browser telemetry for anomalous token usage and replay attacks, blocking compromised sessions in real time.

Does Credal.ai support custom LLMs beyond Claude, GPT-4o, and Gemini?

Yes, Credal supports custom LLMs, allowing organizations to deploy their own models or use private endpoints while enforcing the same governance policies.

How does Push Security protect against AI data leakage?

Push monitors clipboard access, file uploads, and OAuth grants to AI tools, blocking unauthorized data transfers and enforcing usage policies defined by security teams.

Can Credal.ai be deployed on-premises?

Yes, Credal offers on-premises deployment in addition to cloud and single-tenant options, suitable for organizations with strict data residency requirements.

Does Push Security require a proprietary browser?

No, Push works as a lightweight browser extension across all major browsers, so users keep their existing browser while gaining security controls.

What types of data can Credal's agent builders connect to?

Credal integrates with 50+ enterprise sources including Google Drive, Snowflake, Zendesk, Jira, OneDrive, Box, BigQuery, Slack, SharePoint, Notion, Salesforce, and AWS S3.

How recent is Push Security's threat detection?

Push uses AI agents for continuous threat hunting, updating detection rules autonomously based on browser telemetry — as highlighted in their May 2026 agentic pipeline announcement.

Does Credal provide human-in-the-loop for sensitive agent actions?

Yes, Credal requires human approval for sensitive actions such as deleting records or updating CRM data, configurable per action type in the governance policy.

What else are Credal.ai and Push Security compared with?

Where can you read more about Credal.ai and Push Security?

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Analysis generated by our model pipeline from live data: