Logica Launches HotScan Self-Learning - Boosting Filtering Efficiencies

Solution Reduces False Positive Alerts by 50%, Enabling Banks to Focus on Real
AML Business Issues
LONDON--(Business Wire)--
Logica (LSE: LOG; Euronext: LOG), a leading IT and business services company,
today announced the launch of the new Self-Learning module for its payments
filtering solution, HotScan. HotScan Self Learning enables banks to reduce false
positive alerts in sanctions filtering by intuitively learning from users`
previous actions.

Currently, most filtering systems raise alerts for between 0.5 and 10 per cent
of payments scanned. Following tests against 359,000 payments messages from a
global bank, HotScan Self Learning was proven to reduce alerts raised by more
than 50 per cent - without reducing the accuracy or narrowing the net.

With regulatory bodies across the globe strengthening enforcement of sanctions
filtering, it`s more important than ever for banks to contain the cost of
sanctions screening. The Single European Payments Area (SEPA) scheme in Europe
and the National Automated Clearing House Association (NACHA) in the US now
require new types of payments to be scanned - not just cross-border SWIFT
messages. Regulators have also emphasised that the risk-based approach used to
monitor suspicious activity is not sufficient for sanctions. By eliminating a
large proportion of manual checking, Logica`s Self Learning solution
substantially reduces operational costs.

"Increased pressure from regulators to improve sanctions filtering and the need
to drive down costs through greater efficiencies, means banks will need to rely
on filtering tools that save time," said Neil Katkov, senior vice president at
Celent. "In parallel they need to ensure that resources are being used to
prevent violation of sanctions. Filtering systems that reduce false positives in
screening payments will be critical for large banks seeking to optimise
productivity and gain the most accurate results."

"Banks are facing limited resources, tougher regulation and growing payments
volumes. Filtering systems must therefore be able to scale-up to manage these
challenges," said John Evans, director of financial crime solutions at Logica.
"With some banks employing hundreds of people to review alerts, it is crucial
that their resources are used in the most productive way possible. Our
Self-Learning module is the only solution available that offers the combined
benefit of a massive reduction in false positives without increasing monitoring
risk."

Logica`s Self-Learning module, which is being implemented by one of the world`s
largest banks, is available globally as a licensed upgrade for HotScan users or
as an option for new customers.

NOTES TO EDITORS

About Logica

Logica is a leading IT and business services company, employing 40,000 people.
It provides business consulting, systems integration, and IT and business
process outsourcing services. Logica works closely with its customers to release
their potential - enabling change that increases their efficiency, accelerates
growth and manages risk. It applies its deep industry knowledge, technical
excellence and global delivery expertise to help its customers build leadership
positions in their markets. Logica is listed on both the London Stock Exchange
and Euronext (Amsterdam) (LSE: LOG; Euronext: LOG). More information is
available at www.logica.com.

Metia for Logica - Financial Services
Natalie Shamshoum
Team 660, Metia
+44 20 3100 3655
natalie.shamshoum@metia.com
or
Metia for Logica - Financial Services
Melanie Hesketh
Tel: +44 (0)20 3100 3584
Email: melanie.hesketh@metia.com

Copyright Business Wire 2009