A How-To Guide on Building a Federal Information Security Team

A How-To Guide on Building a Federal Information Security Team

A How-To Guide on Building a Federal Information Security TeamIn a post-911 world, information security teams have had an increased role in addressing the need for continuity of operations, disaster recovery solutions, and certification and accreditation. After the two-week government shutdown the talent pool for these positions has dwindled as potential employees left to find work elsewhere. Here are some helpful tips to build the best federal information security team possible:

Craft your recruit message: Make sure the message speaks to those who want to climb the ladder as well as those that want an exciting opportunity that will look good on their résumé.

Take inventory: Take stock of your current team to see if you can move members around into positions they are passionate about. This will help make the team more versatile.

In-reach and communicate: This takes all of the techniques associated with out-reach and applies them inward toward your current team.

Spring cleaning: Update the job postings with any roles that have changed, and embrace social media to find the millennial crowd.

Hire a veteran: By hiring veteran, you gain someone with a unique skillset who may already have active security clearances.

Investigate and network: Network with other InfoSec professionals to meet others who may be looking for their next opportunity.

Perform oversight: Be sure to perform oversight on contractors to ensure processes are created, documented, and accessible.

About the Author

Matt Holden is an Associate Content Editor for 1105 Media, Inc. He received his MFA and BA in journalism from Ball State University in Muncie, Indiana. He currently writes and edits for Occupational Health & Safety magazine, and Security Today.

Featured

New Products

  • Mobile Safe Shield

    Mobile Safe Shield

    SafeWood Designs, Inc., a manufacturer of patented bullet resistant products, is excited to announce the launch of the Mobile Safe Shield. The Mobile Safe Shield is a moveable bullet resistant shield that provides protection in the event of an assailant and supplies cover in the event of an active shooter. With a heavy-duty steel frame, quality castor wheels, and bullet resistant core, the Mobile Safe Shield is a perfect addition to any guard station, security desks, courthouses, police stations, schools, office spaces and more. The Mobile Safe Shield is incredibly customizable. Bullet resistant materials are available in UL 752 Levels 1 through 8 and include glass, white board, tack board, veneer, and plastic laminate. Flexibility in bullet resistant materials allows for the Mobile Safe Shield to blend more with current interior décor for a seamless design aesthetic. Optional custom paint colors are also available for the steel frame.

  • A8V MIND

    A8V MIND

    Hexagon’s Geosystems presents a portable version of its Accur8vision detection system. A rugged all-in-one solution, the A8V MIND (Mobile Intrusion Detection) is designed to provide flexible protection of critical outdoor infrastructure and objects. Hexagon’s Accur8vision is a volumetric detection system that employs LiDAR technology to safeguard entire areas. Whenever it detects movement in a specified zone, it automatically differentiates a threat from a nonthreat, and immediately notifies security staff if necessary. Person detection is carried out within a radius of 80 meters from this device. Connected remotely via a portable computer device, it enables remote surveillance and does not depend on security staff patrolling the area.

  • QCS7230 System-on-Chip (SoC)

    QCS7230 System-on-Chip (SoC)

    The latest Qualcomm® Vision Intelligence Platform offers next-generation smart camera IoT solutions to improve safety and security across enterprises, cities and spaces. The Vision Intelligence Platform was expanded in March 2022 with the introduction of the QCS7230 System-on-Chip (SoC), which delivers superior artificial intelligence (AI) inferencing at the edge.