Why a threat campaign targeting Snowflake customers isn’t exactly a special snowflake

On the same subject

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  March 9, 2021 | International, Aerospace

  DoD SBIR/STTR Component BAA Open: Space Development Agency (SDA) HQ085021S0001

  The DoD Small Business and Technology Partnerships Office announces the opening of the following Broad Agency Announcement (BAA) topics: Space Development Agency (SDA), HQ085021S0001 SBIR Topic HQ085021S0001-01: Free-Space Optical Communication (FSOC) Technology for Optical Intersatellite Links (OISLs), published at: https://beta.sam.gov/opp/7e60b2b1a9014888925a1d4b4fecd0df/view SBIR Topic HQ085021S0001-02: L-Band Multiband/Interleaved Electronically Scanned Array (ESA) Antenna, published at: https://beta.sam.gov/opp/6b1fd1d4efca4e3aad5d7ad4699ac4eb/view SBIR Topic HQ085021S0001-03: Advanced Space Mesh Networking, published at: https://beta.sam.gov/opp/338239928d54409ea01ee400325b2e5e/view STTR Topic HQ085021S0001-04: Advanced Space Mesh Networking, published at https://beta.sam.gov/opp/002cf1a4efcb472dbb5f87c9e23aab26/view SBIR Topic HQ085021S0001-05: Mesh Network NSA Certifiable Cryptographic Solution, published at https://beta.sam.gov/opp/262cd2b6216e4002bdd6b15789d5a73e/view STTR Topic HQ085021S0001-06: Mesh Network NSA Certifiable Cryptographic Solution, published at https://beta.sam.gov/opp/533dbc7e30e4452eb3cc814b882c21a7/view IMPORTANT DATES: March 9, 2021: Topic Q&A opens March 9, 2021: BAA opens, begin submitting proposals in DSIP March 24, 2021: Topic Q&A closes to new questions at 12:00 p.m. ET March 31, 2021: BAA closes, full proposals must be submitted in DSIP no later than 12:00 p.m. ET Full topics and instructions are available at the links provided above. Topic Q&A Topic Q&A is available for proposers to submit technical questions at https://www.dodsbirsttr.mil/submissions/login beginning today, March 9, 2021. All questions and answers are posted electronically for general viewing. Topic Q&A will close to new questions on March 24, 2021 at 12:00 p.m. ET but will remain active to view questions and answers related to the topics until the BAA close. Proposers are advised to monitor the Topic Q&A during the BAA period for questions and answers, and frequently monitor the beta.SAM.gov link above for updates and amendments to the topic. Learning & Support Visit the Learning & Support section for Job Aids and Help Videos to guide you through submitting and viewing questions and answers in the Topic Q&A, preparing and submitting your proposal in DSIP, and more: https://www.dodsbirsttr.mil/submissions/learning-support/training-materials DSIP Help Desk Contact Info Phone Number: 703-214-1333 Email: DoDSBIRSupport@reisystems.com Hours: Monday – Friday, 9:00 a.m. – 5:00 p.m. ET Thank you for your interest in the DoD SBIR/STTR Program. DoD SBIR/STTR Support Team To sign up and receive upcoming emails, please follow this link: https://secure.campaigner.com/CSB/Public/Form.aspx?fid=667492&ac=g9gk 

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  July 10, 2024 | International, Security

  New Ransomware Group Exploiting Veeam Backup Software Vulnerability

  New ransomware group EstateRansomware exploits Veeam software vulnerability, uses dormant VPN accounts for initial access, and deploys persistent back

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  July 10, 2019 | International, C4ISR, Other Defence

  Can machine learning decipher an overcrowded radio spectrum?

  By: Kelsey Reichmann The Department of Defense is pursuing a $4.7 million initiative to use machine learning to decipher radio signals. The Defense Advanced Research Projects Agency awarded funding to BAE Systems, a British defense company, for its Controllable Hardware Integration for Machine-learning Enabled Real-time Adaptivity (CHIMERA) solution. The CHIMERA solution uses machine learning to interpret radio frequency signals in crowded electromagnetic spectrum environments. “CHIMERA brings the flexibility of a software solution to hardware,” said Dave Logan, vice president and general manager of Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance Systems at BAE Systems in a news release. “Machine-learning is on the verge of revolutionizing signals intelligence technology, just as it has in other industries.” This contract is contingent on the completion of preset milestones and works alongside the Radio Frequency Machine Learning Systems (RFMLS) program, which was previously awarded to integrate data-driven machine learning algorithms. https://www.c4isrnet.com/artificial-intelligence/2019/07/09/can-machine-learning-decipher-an-overcrowded-radio-spectrum/