Risk
R.10
Due diligence doesn't end at onboarding
FATF Recommendation 10 requires ongoing due diligence on the business relationship. News that breaks after onboarding is part of that picture.
Adverse Media MonitoringNamesakes filtered · Analyst decides
Catch negative news on your customers early and see only the hits that matter
The agent checks news and public sources for financial crime, fraud and corruption stories tied to your customers. It filters out namesakes and irrelevant mentions, then links each relevant hit to the customer's risk profile. Your analysts review a short list instead of a page of search results.
Media watch
Monitoring your customer base
ARTICLES CHECKED TODAY
1284310
SENT TO ANALYST
2140
Rajesh Mehta
Director named in GST fraud probe
RELEVANCE 84··
EscalatedScanning
Rajesh Mehta
Cricket club fundraiser
RELEVANCE 6··
FilteredScanning
Al Noor General Trading
Customs seizure at port
RELEVANCE 69··
ReviewScanning
Mary Ochieng
Promoted to bank board
RELEVANCE 11··
FilteredScanning
Carlton Reid
Charged in lottery scam case
RELEVANCE 78··
EscalatedScanning
Westbay Realty Ltd
Fined by planning authority
RELEVANCE 34··
ReviewScanning
AI REASONING · Rajesh MehtaEscalated · Relevance 84
Matching name, location, employer and dates to the customer…
Same companySame cityRole matches
The article names this customer's company and his role as director. Escalated and linked to his risk profile.
Ongoing
Monitoring that continues after onboarding
Every
Hit linked to a risk profile
Your
Topics and sources
Why adverse media checks get skipped
A name search returns pages. Your analysts need the three that matter.
Common names return hundreds of results, most about someone else. So searches get done at onboarding and rarely again, which is exactly when the useful news appears.
Risk
Namesakes
Most hits are about someone else
A customer with a common name can return hundreds of results. Without location, age and employer checks, analysts read every one.
Risk
Local
The news that matters is often local
Stories about a mid-market customer appear in regional papers and local languages first. English-only searches miss them.
What FluxForce delivers
Ongoing media monitoring with the noise taken out
The agent watches news and public sources for your customers, decides which stories are about them, and sends the relevant ones to your team.
CAPABILITY 01 / 06
Continuous monitoring
Watches news, court and regulatory sources for your customers.
Covers individuals, companies and beneficial owners.
Runs on your whole book, from onboarding onward.
Lets you set the topics your policy treats as adverse.
CAPABILITY 02 / 06
Namesake filtering
Compares location, age, employer and role with the customer record.
Filters stories about different people with a logged reason.
Groups repeat coverage of the same story.
Learns from your analysts' calls on past hits.
CAPABILITY 03 / 06
Relevance by topic
Separates financial crime, fraud, corruption and sanctions stories.
Separates adverse news from neutral or positive coverage.
Scores relevance so serious stories come first.
Summarises each story in two lines.
CAPABILITY 04 / 06
Linked to risk
Attaches relevant hits to the customer's risk profile.
Opens a review when a hit changes the risk picture.
Shows sanctions, PEP and media findings together.
Feeds customer risk rating with the evidence.
CAPABILITY 05 / 06
Local sources
Includes regional and local-language sources in your markets.
Translates the summary for your analyst.
Keeps the original article on record.
Adds sources your team asks for.
CAPABILITY 06 / 06
Audit trail
Logs every story checked and why it was filtered or sent.
Keeps the analyst's decision with the article.
Stores evidence in tamper-evident form.
Lets an examiner replay any decision.
What changes for your team
A short list of real hits, on the whole book
We'll run the agent on a sample of your customers and show you what it found, what it filtered and why.
Whole book
Monitored
Every customer, not only new ones.
2 lines
Per story
A summary your analyst can read in seconds.
Every
Filter has a reason
Namesakes and irrelevant stories filtered with a logged reason.
1 view
Media, sanctions and PEP
All three findings on one risk profile.
Replay
For your examiner
Why each story was filtered or escalated.
The agents on this work
Three AI agents reading the news for you
Finding the story is the easy part. Proving it's about your customer is the work.
Senior AI OSINT Intelligence Director
Oscar Gray
Watches news and public sources and filters out namesakes.
News, court and regulatory sources
Namesake filtering
Topic and relevance scoring
Senior AI KYC/AML Compliance Director
Rhea Ledger
Links relevant hits to the customer's risk profile.
Risk profile updates
Combined sanctions, PEP and media view
Review triggers
Senior AI Identity Verification Specialist
Iris Verma
Supplies verified identity data to confirm the story is about your customer.
Date of birth and location
Company and role data
Identity match evidence
Where it fits
Media monitoring wherever reputation risk sits
What counts as adverse depends on your business. You set the topics; the agent applies them the same way every time.
RETAIL AND CORPORATE
Banking
Focus
Customers and owners
Scope
Local press
Shadow mode to go-live90 DAYS
Results
Whole book monitored, long-standing accounts included
Relevant hits linked to risk ratings
Analysts read summaries, not search pages
MERCHANTS AND USERS
Fintechs
Focus
Merchant risk
Scope
Fast onboarding
Shadow mode to go-live90 DAYS
Results
Merchants checked before and after go-live
Fraud and scam coverage flagged early
Evidence your sponsor bank can review
REAL ESTATE, GOLD, CSPs
DNFBPs
Focus
Buyers and owners
Scope
Reputation risk
Shadow mode to go-live90 DAYS
Results
Buyers checked before the deal closes
Beneficial owners covered
Records ready for your supervisor
Questions? We Have Answers
Frequently Asked Questions
News, court listings and regulatory announcements, including regional sources in our markets. You can add sources your policy requires.
The agent compares location, age, employer and role with your customer record and filters stories about different people, with a logged reason you can check.
It filters clear namesakes and non-adverse stories under rules you approve, and logs why. Anything that could affect risk goes to an analyst.
We cover regional and local-language sources in our markets and translate summaries for your analysts.
Continuously. New stories are matched against your customers as they appear.
It opens a review with the evidence. Your team decides whether the rating changes.
Take the first step
See how an investigation file is built
Pick one alert type. We'll run the agents in shadow mode on your own data and show you the cases they prepare. Your team decides what happens next.
DeploymentDAY 90
Discovery
Shadow mode
Integration
Controlled go-liveDAY 76–90+
Security and governance