GitGuardian Honeytoken vs CalypsoAI
Compare security AI Tools
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GitGuardian Honeytoken
Honeytoken is a deception layer from GitGuardian that lets teams plant trackable fake secrets across repos clouds and CI to catch intruders early with instant alerts and forensics while using the same GitGuardian admin model.
Pricing Free plan includes 5 honeytokens, paid plans by quote or bundle
Category security
Difficulty Beginner
Type Web App
Status Active
C
CalypsoAI
Enterprise AI security that defends prompts and outputs in real time, red teams LLM applications, and provides centralized policy controls for using AI safely across apps agents and data.
Pricing Contact sales
Category security
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in GitGuardian Honeytoken
securitydeceptionhoneytokendevsecopsincident-responsemonitoring
Shared
None
Only in CalypsoAI
ai-securityguardrailsred-teamcompliancesiemsoar
Key Features
GitGuardian Honeytoken
- • Token issuance at scale with per owner metadata so responders see which repo or pipeline leaked and who must triage first for rapid action
- • High signal alerts with request fingerprints so teams link events to specific hosts keys and paths which reduces noisy investigations
- • Multi surface coverage across repos images wikis and storage so lateral movement attempts are seen even outside primary application code
- • Detonation safe design that prevents real data access so tokens can be placed broadly without risk to production or customer records
- • Unified admin with GitGuardian roles and logs so security keeps one system of record for audits reviews and evidence across teams
- • Guided deployment playbooks that prioritize CI clouds and internal docs so value appears quickly while coverage grows methodically
CalypsoAI
- • Real time defense: Inspect prompts and outputs to stop data leakage jailbreaks and harmful content before reaching users
- • Outcome analysis: Explain guardrail decisions to analysts so tuning remains transparent and fast during incidents
- • Red teaming: Continuously exercise models apps and agents to uncover bypasses and prioritize mitigations with evidence
- • Central policy: Apply rules across vendors models and apps with a control plane that integrates to SIEM and SOAR
- • Audit trails: Log prompts responses and actions with metadata to support compliance and forensic investigations
- • Model agnostic: Protect hosted SaaS and self hosted models to future proof guardrails as model portfolios evolve
Use Cases
GitGuardian Honeytoken
- → CI pipeline tripwires that detect stolen runners or exfil tools before real credentials are touched which limits blast radius during incidents
- → Cloud storage breadcrumbs that reveal bot scans and human exploration so abuse is visible even if logs are noisy or rotated frequently
- → Vendor and partner validation where tokens prove access boundaries and logging quality before production data is shared for integrations
- → Internal wiki and runbook coverage that catches careless copy actions and phishing reuse of secrets that would otherwise go unnoticed
- → Canary commits in low risk repos that surface credential stuffing against developers and bots probing default paths during off hours
- → Container image beacons that mark base images so if one leaks you learn which registry mirrors or hosts are pulling your artifacts
CalypsoAI
- → LLM guardrails: Enforce policies that prevent PII exfiltration IP leakage and unsafe actions in chat apps and copilots
- → Agent safety: Inspect tool calls and outputs to block risky actions in autonomous or semi autonomous workflows
- → Content safety: Filter toxic or disallowed material for consumer facing experiences and community platforms
- → Regulatory readiness: Produce logs and reports that map to AI safety policies and data protection frameworks
- → Incident response: Route alerts to SIEM or SOAR and provide evidence packages for faster triage and learning
- → Vendor neutrality: Secure multiple model providers under one policy framework to avoid lock in and gaps
Perfect For
GitGuardian Honeytoken
security engineers platform teams SREs and compliance leaders who want early detection of intrusions across code cloud and knowledge systems with low integration overhead and clear incident evidence
CalypsoAI
CISO offices ML platform teams risk leaders and product security groups that need centralized AI guardrails red teaming and auditability to deploy AI safely at scale
Capabilities
GitGuardian Honeytoken
Scaled Honeytokens Professional
High Signal Alerts Professional
Unified Admin Intermediate
Analytics and Paths Intermediate
CalypsoAI
Real Time Guardrails Enterprise
Continuous Red Teaming Enterprise
Central Policy Plane Enterprise
Outcome Analysis Professional
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