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ENTERPRISE RISK MANAGEMENT

The FBI Goes High Tech N

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early 80 years after it began collecting fingerprints on index cards as a way to identify criminals, the FBI is moving to a new system that improves the accuracy and performance of its setup while adding more biometrics. By adding palm print, face and iris image search capabilities, the FBI’s Criminal Justice Information Services Division (CJIS) hopes to improve the accuracy of identity searches, make it easier to positively identify and track criminals as they move through the criminal justice system and provide a wider range of tools for investigators. The current database, the FBI’s Integrated Automated Fingerprint ID System (IAFIS), includes data on 135 million criminals and terrorists, and as civil servants and other citizens who work in “positions of trust.” Since its launch in 2008, the $1.2 billion (Rs 7,200 crore) Next Generation Identification (NGI)

project has been incrementally replacing pieces of the aging IAFIS and adding new features.

Mobile ID The recently released mobile ID system is one of the more compelling new features in NGI. It lets officers in the field use a handheld fingerprint scanner during a traffic stop and run a two-fingerprint check against the NGI’s newly created Repository of Individuals of Special Concern (RISC).

Core upgrades In NGI, the ten-print system has also been improved because it now runs on a more powerful, 1,000blade server farm—the old IAFIS system runs on 64 blades—and uses enhanced recognition algorithms.

“NGI is faster, more accurate, and has better process flows than IAFIS had,” says Scott Blanchard, manager of the automated print identification section at the Michigan State Police. The matching accuracy rate has risen from 92 percent to 99 percent while average response time has dropped from 2 hours to 10 minutes. But the time improvement is for matching fingerprints scanned under controlled conditions, such as at a police booking station. Matching latent fingerprints—those found at a crime scene—is much more difficult. With an accuracy rate of just 25 percent, IAFIS wasn’t highly effective for investigators. By contrast, the upgraded NGI capabilities rolled out in 2013 have had an accuracy rate well above 80 percent for latents.

Internet of Things: Beating the Odds FINDINGS

The Internet of Things can bring a number of benefits, but it also opens up greater security risks.

IoT: Top 5 Governance Issues

38% Increased security threats

28% Data privacy

9% Identity/access management

9% Attacks against connected devices

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29%

Of IT professionals say the risks of Iot outweigh its benefits. SOURCE: ISACA

VOL/9 | ISSUE/05


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