Faked Identities
Coached answers and synthetic media used to impersonate legitimate engineers and contractors.
Stopping fraudulent hires before they onboard — with bias defense and transparency.
Interviews are vulnerable to fraud, bias, and modern impersonation threats like deepfakes and account sharing. SignalSyft delivers real-time safeguards, explainability, and defensible evidence — protecting every decision from costly risk.
Cut six-figure mis-hire losses and reduce legal exposure with explainable, AI-powered protection.
15 min | No cost | Enterprise ready
Now onboarding: security, legal, compliance, and HR infrastructure teams.
Stand-ins, identity spoofing, deepfakes, and relayed interviews are slipping past traditional hiring controls. These risks now extend even to roles with privileged access, sensitive data, or regulatory exposure.
The old playbook of minimizing interview records to avoid discovery no longer works. Once AI enters hiring, systems already generate digital outputs that are discoverable. Operating without governed, explainable evidence doesn’t reduce risk — it hides it.
SignalSyft equips teams with real-time guidance and alerts — stopping deception, supporting consistent and explainable decisions, and reducing legal exposure.
Higher replacement costs
Legal exposure per case
Attrition from bad hires
Companies hit by fraud
SignalSyft intercepts these risks live — during interviews — and generates audit-ready evidence for every decision with policy-based retention options.
Hiring systems were built for honest resumes and human answers — not prompts or AI-generated records.
Stand-ins, resume laundering, contractor swapping, and rehire attempts under new identities.
Critical RiskVPN/proxy obfuscation, impossible travel, duplicate devices, and mismatched geolocation signals.
Critical RiskDeepfake faces/voices and generated answers engineered to pass technical and behavioral screens.
Emerging ThreatOff-screen whisperers, chat overlays, and answer relays that compromise interview integrity.
Common TacticUnstructured decisions and unlogged AI outputs risk EEOC/ADA/OFCCP violations and investigations. Record-minimization strategies fail when AI systems generate discoverable outputs by default.
Compliance RiskFraudulent hires gain access to code, credentials, or IP — turning hiring into a breach vector.
Critical RiskWe tune detection on real fraud and bias cases, and map methods to enforcement frameworks so your hiring decisions are defensible.
From résumé polishing to AI deception and state-backed infiltration — the attack surface keeps expanding. SignalSyft was built for this reality. Hiring now produces AI-generated records — defenses must be explainable and governed.
Professional services emerge to polish candidate profiles.
First reports of stand-ins in video interviews.
AI assistants enable in-session answer generation.
Synthetic media used to bypass identity checks.
Government advisories confirm state-sponsored hiring fraud.
Coaching overlays and real-time cheat tools go mainstream.
In-session safeguards and audit-ready evidence.
Professional services emerge to polish candidate profiles.
First reports of stand-ins in video interviews.
AI assistants enable in-session answer generation.
Synthetic media used to bypass identity checks.
Government advisories confirm state-sponsored hiring fraud.
Coaching overlays and real-time cheat tools go mainstream.
In-session safeguards and audit-ready evidence.
U.S. enforcement agencies have documented, in public advisories, infiltrations by DPRK IT workers posing as remote hires — often via falsified identities and relayed interviews. Hiring now produces AI-generated records; defenses must be explainable and governed. Employment fraud isn’t theoretical; it’s active tradecraft.
Coached answers and synthetic media used to impersonate legitimate engineers and contractors.
Once hired, access to code, credentials, and IP enables exfiltration and fraud at scale.
Proceeds help finance illicit programs — turning hiring pipelines into national-security risks.
SignalSyft helps detect and deter nation-state infiltration with in-session identity assurance, geo-signal correlation, and anomaly detection.
SignalSyft protects your hiring pipeline in real time and produces audit-ready evidence with policy-based retention — without disrupting your ATS/HRIS.
Detect stand-ins, deepfakes, relays, and spoofed identities before access is granted.
Explainable decisions and immutable logs aligned to EEOC/ADA/OFCCP expectations.
Cut mis-hire losses, avoid investigation costs, and accelerate decisions across teams.
In-session interview signals across video, audio, behavior, identity, and environment
Real-time fraud, deception, bias-risk, and policy violations with explanations
Instant guidance to correct course or escalate without derailing interviews
Immutable, audit-ready records that stand up to internal and external scrutiny
In-session interview signals across video, audio, behavior, identity, and environment
Real-time fraud, deception, bias-risk, and policy violations with explanations
Instant guidance to correct course or escalate without derailing interviews
Immutable, audit-ready records that stand up to internal and external scrutiny
Intercepts fraud, relays/coaching, and bias-risk during the interview — not after. Works natively in Zoom, Microsoft Teams, and Google Meet.
Every flag is backed by a clear rationale, the underlying signals, and the reviewer actions taken — so decisions are defensible in audits, investigations, and court.
No rip-and-replace. Hooks into your identity and ATS/HRIS stack.
See SignalSyft live inside your hiring pipeline — intercepting fraud, deception, and bias-risk in session, with enterprise-grade controls and measured outcomes.
Experience live detection across Zoom, Teams, and Meet — plus court-ready evidence and reviewer guidance. No rip-and-replace; works with your ATS/HRIS.
Liveness, deepfake, relay/coaching, and bias flags in session.
Immutable logs, decision trails, and exportable evidence for audit and legal review.
Savings modeled from your salary bands and mis-hire assumptions in a pilot scorecard.
Zoom • Teams • Meet; Workday • Greenhouse • Lever • iCIMS.
50–500 employees
500–2,000 employees
2,000+ employees
* Savings are modeled from your inputs. Results vary; no financial guarantees.
Kickoff in days, scale in weeks
SSO (Okta/Azure AD), Zoom/Teams/Meet hooks, RBAC roles.
Pilot interview set, reviewer prompts, bias & policy tuning.
Scorecard: adoption, flags, false-positive review, evidence checks.
Roll out to more roles; export logs for audit & leadership reviews.
Dedicated support. Legal defensibility. Measured performance.
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Secure & Confidential. No long-term commitment.
Answers to your most pressing questions about proactive hiring security.
SignalSyft uses real-time detection to prevent bias during interviews, providing instant guidance for fair decisions and audit-ready records for compliance.
Our system creates secure, tracked records that meet standards for defensible hiring decisions and external review.
Clients typically save $100K+ annually by preventing risks and bad hires, with 300%+ ROI guaranteed within 12 months.
Yes, we guarantee reductions in risks and hires, with a refund if goals aren't met—ensuring value for your investment.
SignalSyft meets key standards like SOC 2 and GDPR, with secure processing to protect your data.
Full setup takes about 6 months, with support to integrate and validate results.
Yes, it connects with popular tools like Workday and Greenhouse for easy use.
Training helps awareness but doesn't prevent issues live; other software tracks after. SignalSyft stops risks instantly with guidance and records.
No, everything is handled internally with secure, in-house AI to keep data safe.
Yes, we offer customized demos with examples tailored to your needs, showing prevention, savings, and documentation. Book a demo.