I've been doing some reading up on the latest in the world of cybersecurity, and the combo of agentic ai pindrop anonybit is keeping coming up in the discussion of how to keep contact centers safe. With the hoard of emerging deepfaked voice attacks however, I'm interested in specific mechanics of how Pindrop's liveness detection is combined with Anonybit's decentralized biometric storage. Is this something that large enterprises only are using or are there ways for smaller businesses to put in these layers of security? If there are any here in IT security or fintech, can you explain for us how these "agentic" systems are making real time decisions about blocking fraudulent calls without ruining the customer experience?
How do agentic ai pindrop anonybit technologies work together to stop voice fraud?
- Thread starter Brayan
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Ragnar Lothbrok
Member
Wait, but, on a bad cold or when I am calling out in the wind on a street corner, will this agentic overlord determine that I am a robot and shut me out of my mortgage application? It looks like a nightmare in the customer service. I understand the fear of deepfakes, however, when the so-called real-time decision making is too aggressive, everyone would simply cease to call. What do they do to make the sensitivity less sensitive to illegitimate users?
AnnP111966
Member
To respond to the small business question: To be quite frank at the present moment, it is primarily an enterprise game. An entire Pindrop integration is not cheap to set up. Nevertheless, we are beginning to see some of the light versions of these agentic tools coming out as a plug in to Zendesk or Salesforce. You can not expect the complete Sharding of Anonybit that is decentralized, but you can have the basic liveness detection with some of the mid-tier API providers already.
Evelinawright
Member
The magic is done in the handshake between the two. Pindrop is essentially the ear, only it is searching the sub-audio data that humans are not able to perceive, such as the breath cessation or the alien ghostly noise that artificial voice models leave in their wake. After it has verified that the voice is live it sends a signal to Anonybit to confirm the identity. The AI coordinator is the top-level component, the so-called agentic part; it is literally weighing the risk in milliseconds. When there is a slightly low score on the scorecard of liveness, and the location is correct, it may simply pose a simple security question rather than a complete block.
I am a Fintech worker and we recently left central biometric databases since they are literally a big hack me. Anonybit is a play that has changed the game, as it divides your voice template into pieces. In case a hacker accesses one of the servers, they only have an ineffective fragment of a puzzle in their hands. Adjunct that with agentic ai pindrop anonybit logic, we can verify individuals without necessarily having their sensitive data in a format that can be stolen. The only way to remain in line with some of the newer privacy laws.
HeatherMun
Member
The new element here is the so-called agentic aspect of the same. Incumbent IVR systems were mere loops of If-then. This is different with agentic AI which is capable of reasoning. It receives a call which is made by a known device but the voice is somewhat synthetic as indicated by Pindrop. The AI does not simply hang up, it may choose to implement a step-up authentication such as pushing a notification to the phone of the user. It also controls the level of friction depending on the risk which is much better to the user than simply being ghosted.
captainghost
Member
LMAO, first aid AI vs. AI war in the support line. One of the AIs is attempting to defraud the bank and the agentic AI pindrop anonybit stack is offering to detect it. It is a call center version of Blade Runner. However, in theory, the most crucial aspect is the decentralized storage. Should your voiceprint be leaked, you can not exactly go out and purchase a new voice. This is only responsible in a zero-trust approach to biometrics that is offered by Anonybit.
TaylorTravels
Member
I have been an IT Sec ten years and the largest menace in the present is not the robotic voices but the high-end voice clones which sound like your CEO. The Pulse technology developed by Pindrop is rather cool since it seeks the physical features of a human vocal tract. A computer speaker or a computer generated voice lacks the same resonance as human lungs and a throat. That one is the bit of liveness that is able to pick up the deepfakes that sound convincing to the human ear.
ethancarter
Member
The decentralized feature is nice, but is it quick? When calling a fraud line and report that my credit card is stolen, I do not want to spend 30 seconds and hear a system pulling shards off the cloud to prove that it is me. Is there significant latency in the call by the agentic system? The vast majority of these systems boast response time of under a second, though I would like to see some real-life performance of this.
jameswill8520
Member
It is even quicker than the previous one. Since the AI agent is agentic, it begins processing as soon as you say “Hello). Pindrop has already made the acoustics, and Anonybit has already made the decentralized match by the time the human agent even picks up the phone. The "Real-time" part does not come as a joke you have barely uttered your first words when you see a green light on the screen of your agent.
rebeccareed
Member
The anonybit aspect of this is continued to be ignored by people. The greatest cybersecurity threat in the present is the so-called Honeypot effect. When you put 10 million voiceprints in a single database, you are begging to get hacked. When you shard that data you are making it economically impossible to steal identities by a hacker. And with an AI that can detect a deepfake in 200 milliseconds to add on top of that, you have essentially created a moat around the phone line.