Capability
Stop the attack before the click.
Prava Phishing Defense is an AI-native email security system that analyzes communication intent, language nuance, and domain provenance in real time to neutralize credential harvesting and executive impersonation before user interaction.
Scope
Prava analyses incoming messages across intent, language, sender identity, infrastructure, links, and attachments to identify social-engineering attacks before they reach the user.
From executive impersonation and business-email compromise to credential theft and malicious payloads, Prava evaluates the complete message and the context around it — not just whether an indicator has been seen before.
Method
PRAVA analyzes emails, links, domains, and attachments to identify phishing attempts and social-engineering patterns.
It combines behavioral and contextual signals to distinguish genuine communication from malicious lures.
Detect the deception before a single click becomes an incident.
01
Understand what the message is trying to make you do.
Prava analyses language, context, urgency, requests, and behavioural cues to identify the underlying intent of a message. A convincing pretext can remain dangerous even when its infrastructure is completely new.
02
Verify who is actually behind the message.
Sender identity, domain relationships, authentication signals, historical behaviour, and impersonation patterns are evaluated together to identify messages designed to appear trustworthy.
03
Inspect what happens after the message is opened.
Links, redirects, landing pages, attachments, and embedded content are analysed in controlled environments to uncover credential harvesting, malicious downloads, evasive behaviour, and other payloads before the user interacts with them.
04
Make the decision before delivery.
Signals are correlated into a single risk judgement. Malicious or high-confidence phishing attempts can be stopped before reaching the inbox, while suspicious messages can be surfaced for investigation rather than treated as ordinary mail.
Attack path
Prava evaluates the attack before the user becomes part of it. Every stop below happens while the message is still in transit, which is the only point at which a click can be prevented rather than investigated.
Message. A message arrives. Nothing about it is trusted yet — at this point a convincing one and an ordinary one look exactly alike, which is the whole of the difficulty.
Intent. What is it trying to make you do? Language, context, urgency and the shape of the request are read for the pretext underneath, which survives even when the infrastructure is new.
Identity. Who is actually behind it? Sender, domain relationships, authentication signals and past behaviour are weighed against the identity the message is claiming for itself.
Destination. Where does it lead? Links, redirects and landing pages are followed in a controlled environment, so a credential-harvesting page is seen before anybody arrives at it.
Payload. What travels with it? Attachments and embedded content are opened somewhere safe, where evasive behaviour has nothing left to hide behind.
Decision. The signals become one judgement, made while the message is still in transit — the only point at which a click can be prevented rather than investigated afterwards.
What you get
Prevention
The dangerous message is intercepted before the user has an opportunity to click, reply, disclose credentials, or open a payload.
Intelligence
Prava evaluates intent, identity, infrastructure, and behaviour to detect campaigns even when their domains, links, and payloads have never been seen before.
Adaptation
User-reported messages and analyst decisions feed back into the detection process, helping Prava recognise emerging campaigns and evolving social-engineering patterns.
Next step
One conversation is usually enough to work out whether this is the right place to begin. If it is not, we will say so.