When Congress established the TMF in 2017, it was hoped that action signaled the beginning of a long-term financial commitment to help federal agencies transition “from antiquated legacy IT systems to modern IT platforms” by providing upfront funding for modernization investments.
Given the significant implications for our supply chain and national security, policymakers need to decide on an approach and act.
Moe Jafari, CEO of Executive 1 Holding Company explains why the old model of pricing is not just obsolete, but completely counterintuitive.
This legislation comes at an opportune time: Cybercriminals are getting smarter by the day, carrying out more sophisticated attacks at a higher volume than ever before. As technologies like artificial intelligence continue to proliferate, and organizations become increasingly digitized, the risk of breaches resulting in material impact grows.
Some contractors are slowly reassessing spend in other areas of the company and applying larger budgets to future IT and cyber compliance. That way, the additional costs are not surprising once compliance is required.
The challenges facing our nation are many and significant. They require agile means to access the innovation needed to address them. That agility cannot be found in a system made sclerotic by mechanisms focused on compliance without a concomitant demonstration of benefit.
From the COVID-fueled shift to remote work, to economic and geopolitical uncertainty, enterprises have done a lot of evolving and adapting in recent years — and so too have their data governance needs.
The federal government has been using or developing AI for several years. Section 10 of the EO now provides uniform direction for federal government agency efforts to develop and use AI in their operations.
Reducing regulatory burdens is just one part of streamlining acquisition. Training, guidance, and accountability are ultimately determinative of success.
At its core, a zero-trust architecture (ZTA) follows one guiding principle: Trust no one. Unlike conventional models, where anything inside the network perimeter is trusted, ZTA considers all users and systems as potential threats. This means verifying every access attempt, regardless of whether the attempt originates inside or outside the network.
By next year, 75% of government agencies will have launched at least three enterprise-wide initiatives for AI-assisted automation, according to Deloitte. And 60% of agency investments in AI and data analytics will be designed to have a direct impact on real-time operational decisions and outcomes, Deloitte says.
With the pace in which AI and generative AI has been rolled out to the public, red-teamers are playing catch-up, with their team facing a significant deficit. There’s a lot for them to address in the near term, and in many cases, they’ll need to learn on the fly.
Before their finalization, the proposed rules received over 200 comments from industry groups, universities and legal firms. Many of them highlight the complexities of cyber incident reporting and the many potential conflicts it has with the transparency the SEC seeks to provide investors.
AI-powered automation can also aid federal agencies in digital transformation by facilitating seamless integration across various systems and platforms. Software bots bridge the gap between legacy and modern technology, enhancing collaboration between agencies and promoting a comprehensive approach to service delivery.
In the rapidly evolving landscape of modern warfare and the escalating dependence on virtual mission collaboration, the demand for a more secure MPE has become exceedingly pressing. The moment to take action has arrived.