Krisp Call Center AI was built for the real-world conditions of live voice. Clear audio for agents and customers, bidirectionally, regardless of environment. Accurate communication across accents. Real-time speech translation across 60+ languages. Both sides of every conversation, at the moment it happens. That foundation is how millions of calls are handled better every day.
And it’s what allows us to go further.
The voice channel still has two significant problems that most contact centers have not closed. Today we are introducing Krisp Voice Security and Krisp Speech Analytics — real-time protection and post-call intelligence for the contact center voice channel.
The security gap
Contact centers are financial control points. They are where customer identity is verified, where transactions are authorized, and where sensitive data is accessed. That makes them a target.
AI-enabled voice impersonation is eroding trust in call-based verification. Voice cloning tools are available for $5 a month. Human agents correctly identify synthetic voices approximately 60% of the time, approaching chance, with no meaningful improvement from training.¹ Deepfakes grew from 0.1% to 6.5% of all detected fraud attempts in three years, a 22x increase.² AI and voice cloning contributed to more than $30 million in documented business email compromise losses in the US in 2025 alone.³
And synthetic voices are only part of the threat. Social engineering attacks using real human voices pressure agents into bypassing protocols, manufacturing urgency, and making unauthorized decisions on the spot.
Krisp Voice Security is our response. It brings three capabilities to the agent desktop, covering three distinct threat vectors:
Deepfake Detection analyzes inbound caller audio in real time. When a synthetic or cloned voice is detected, the agent receives an alert before any account access, transaction, or credential reset takes place.
Fraud Detection monitors the live call transcript for behavioral and linguistic signals of social engineering. Agents receive an advisory alert with a prompt to follow their organization’s approved escalation steps, while there is still time to act.
Agent Voice Verification continuously confirms the person on each agent call matches the enrolled agent’s voice profile, detecting unauthorized substitution in remote and distributed operations.
All three run within the existing Krisp Call Center AI deployment, across all CCaaS platforms, with no telephony integration required.
Voice Security is available in early access. Request access here and we’ll define together how it fits your operations.
The visibility gap
The security problem happens during the call. The visibility problem happens after it.
Quality assurance in most contact centers is a sampling problem. Teams review less than 2% of calls manually, make decisions about agent performance from that slice, and hope it’s representative. The other 98% of conversations happen without any oversight. Coaching is based on anecdote. Compliance risks are discovered in scheduled audits weeks after the fact. Quality issues become patterns before anyone notices them.
This is not a technology failure. It is a scale problem that manual QA was never designed to solve.
Krisp Speech Analytics addresses this directly. Every call is automatically analyzed post-call and turned into structured data: a quality score calculated against the team’s own criteria, a detailed call summary, compliance flags tied to the specific transcript moment where a potential violation occurred, and an automatically assigned call disposition. PII is redacted before any cloud processing, and data retention is fully configurable.
The result is a shift from reactive quality management to proactive oversight. Supervisors no longer need to pull recordings and listen manually. Compliance teams no longer discover violations weeks after the fact. Coaching decisions are grounded in patterns across every call, not impressions from a handful of reviewed ones.
Speech Analytics is built as a configurable framework, not a fixed scoring model. Teams define what good looks like for their operation, and Krisp applies it consistently to every conversation.
Speech Analytics is available today. Contact your Account Executive or book a demo to get started.
What this means for the voice channel
Krisp has spent years building the tools that make voice communication work: noise cancellation, accent conversion, real-time translation. Those capabilities address what agents and customers hear.
Voice Security and Speech Analytics address what happens during and after every call. One protects every interaction in real time from the threats targeting the voice channel. The other gives you full visibility into what is happening on every call, post-call.
Together, they represent Krisp Voice AI platform’s expansion from the audio layer into the intelligence and security layers of the contact center.
Contact centers cannot afford guesswork about performance or about who is on the call.
Want to see Speech Analytics in action? Book a demo
Interested in Voice Security early access? Request access
