Reality Defender
Enterprise deepfake detection that analyzes audio, video and images in live calls, meetings and uploaded files.
By Reality Defender · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Banks and insurers defending contact centers and payment authorizations from real-time voice deepfakes
- Identity-verification and onboarding teams screening selfies and liveness checks for synthetic media
- Government agencies verifying video-conference participants and monitoring disinformation campaigns
- Broadcasters, platforms and media teams rooting out fake accounts and manipulated audio/video at scale
- Enterprises protecting executives from AI-generated impersonation in calls, email and meetings
Ideal size: Enterprise security/fraud teams (200+) people · Scale-up or enterprise with an established trust, fraud or security function
Not for
- Teams wanting a complete identity-verification or KYC platform rather than a detection signal to embed
- Small businesses with no high-trust voice, video or identity channels to protect
- Buyers who require a published FedRAMP authorization or on-premises certification before purchase
- Content teams looking for synthetic-media creation or watermarking instead of detection
- Organizations unwilling to integrate an API or SDK into existing workflows
Value metrics scorecard
Time-to-Value
Weeks for API; longer for enterprise
~21 days to first production value
Total Cost of Ownership
$25,000/yr
Starts at $0 · Usage-based scans; free tier of 50 audio or image scans per month; enterprise pricing quoted annually on request
Implementation Friction
3/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not listed
Add-on costs
- None
Company & support
Who is behind Reality Defender, and how your team gets help once it is live.
Company
- Founded
- 2021 · 5 yrs in business
- Headquarters
- Not recorded
How you get support
We haven’t recorded support channels for Reality Defender yet. Nothing here means unverified — not absent.
Market position
Where Reality Defender sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Reality Defender
- Genlogs
- Delve
- SEON
- Middesk
- Infisical
Add or change companies
Up to 10 companies including Reality Defender. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Reality Defender ships in AI, and what it asks of your ecosystem.
AI features shipped
Detection is performed by Reality Defender's own ensemble of models, blended and updated to catch synthetic media; the pages reviewed describe no copilot, agent or assistant features. No MCP server, named model provider, training-data policy or AI audit logging is stated on the vendor pages available, so those fields are left as unknown or empty.
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Reality Defender is an enterprise deepfake-detection layer that analyzes audio, video and images across live calls, meetings, identity checks and uploaded files, returning an independent signal so teams can verify, route or block synthetic media. Founded in 2021, it sells API and SDK access with a free tier of 50 audio or image scans per month, plus enterprise deployments for banks, agencies, broadcasters and platforms. Public pages reviewed name no MCP server, model providers or security certifications.
Frequently asked questions
What does Reality Defender actually detect, and where does it run?
It detects deepfakes and AI-manipulated media across audio, video, image and text, including live calls, meetings, access workflows and uploaded files. Rather than replacing existing systems, it returns an independent signal inside the tools you already run so your rules can verify, route or block the interaction. The vendor positions the service as an enterprise authenticity layer with turnkey integrations plus advanced capability for sensitive environments.
How is Reality Defender priced?
No public price list is available on the vendor pages reviewed. Developers can start for free with 50 audio or image scans per month through the API and SDKs, and enterprise pricing is arranged through direct contact with the vendor. Expect usage-based or volume-based commercial terms; there is no self-serve published per-seat or per-scan rate card.
Do we have to replace our existing fraud or identity stack?
No. Reality Defender is designed as a detection layer that plugs into systems you already operate, returning a signal that your own decisioning logic uses to verify, route or block. Case studies describe it being added alongside bank contact-center defenses and an identity-verification platform as an additional defense, not as a replacement for onboarding or case-management tools.
Is there an MCP server, or any disclosure of which AI models it uses?
The vendor pages reviewed do not mention MCP or the Model Context Protocol, and they do not name any third-party model provider. What is documented is a public API plus SDKs that let developers run the detection models programmatically, including a free tier. Buyers who need MCP or specific provider disclosures should ask the vendor directly before assuming support.
What security certifications can we rely on?
None are evidenced on the public pages reviewed: no SOC 2, ISO 27001, HIPAA, FedRAMP or ISO 42001 claim appears on the pages available to us, and there was no security or trust page among the sources. The about page speaks generally about supporting security, compliance and public trust, which is not a certification claim. Ask the vendor for its SOC 2 report, penetration-test summary, data-retention terms and any government authorization status during procurement.
How quickly can we get to first value?
The fastest path is the self-serve API and SDK, which you can start on for free and is aimed at developers, so a technical team can typically get a first detection running within days to a few weeks. Enterprise rollouts into contact centers, video-conferencing platforms or identity workflows involve integration work and vendor scoping, which lengthens time to production value. No published implementation timeline or onboarding SLA is stated on the pages reviewed.