Productivity software can affect cybersecurity through access permissions, data handling, software updates, and the risk of phishing or misuse.
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Background for this topic.
Productivity is the efficiency with which people and security teams complete legitimate work. In an information-security context, the tag commonly covers both workplace productivity tools—such as collaboration, document-sharing, and workflow platforms—and the design of security controls that protect them without creating unnecessary friction. It may also include automation that helps analysts perform tasks such as alert triage or access reviews consistently.
These platforms are material security surfaces because they store sensitive information, expose sharing and access permissions, and often connect to third-party services through integrations or OAuth tokens. Excessive privileges, misconfigured sharing, unmanaged applications, or weak authentication can enable unauthorized access or data disclosure. Conversely, controls that are difficult to use may encourage unapproved workarounds, although this outcome is not inevitable. Practical safeguards include single sign-on with multifactor authentication, least-privilege access, governed integrations, audit logging, and clear workflows for reporting and removing compromised accounts.
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AI coding tools cost $19-$200/month/user, but security scanning, remediation, and false positives add hidden costs. Are the productivity gains worth it?
An analysis of startup firm's spending on AI applications finds the top categories to be productivity and content-generation. Security? Not so much.
With legit sounding names, EvilAI's "productivity" apps are reviving classic threats like Trojans while adding new evasion capabilities against modern antivirus defenses.
In this Dark Reading News Desk interview, Google's Mark Berschadski highlights the critical role browsers play in today's work environment and how Chrome Enterprise is evolving to meet modern security challenges while enabling productivity.
With informed decision-making, organizations can strengthen their overall resilience and maintain the agility needed to adapt to emerging threats, without sacrificing innovation or productivity.
AI coding tools promise productivity but deliver security problems, too. As developers embrace "vibe coding," enterprises face mounting risks from insecure code generation that security teams can't keep pace with.
Recently, 57 countries signed an agreement pledging an "open" and "inclusive" approach to AI's development. The US and UK were not among them, with the US vice president implying productivity should be the priority over safety. Should the opportunity for AI to drive innovation and productivity be prioritized over safety and security?
AI tools will enable significant productivity and efficiency benefits for organizations in the coming year, but they also will exacerbate privacy, governance, and security risks.
AI-powered tools are making cybersecurity tasks easier to solve, as well as easier for the team to handle.
GenAI's 30%-50% coding productivity boost comes with a downside — it's also generating vulnerabilities. Veracode's Chris Wysopal talks about what he finds out in this News Desk interview during Black Hat USA.
Productivity has a downside: A shocking number of employees share sensitive or proprietary data with the generational AI platforms they use, without letting their bosses know.
The technologies listed in Gartner's 2024 Hype Cycle for Emerging Technologies fall into four key areas: autonomous AI, developer productivity, total experience, and human-centric security and privacy programs.
Innocuous little Windows programs were carrying cheap malware for weeks, exposing customers of the India-based software vendor to data theft.
It's finally happening: Rather than just for productivity and research, threat actors are using LLMs to write malware. But companies need not worry just yet.
Companies must recognize AI's utility, while setting clear boundaries to curtail unsafe utilization.
Collaboration apps are a boost to business productivity, but also a uniquely attractive target for cyberattackers.
Guardrails need to be set in place to ensure confidentiality of sensitive information, while still leveraging AI as a force multiplier for productivity.
ChatGPT usage growing 25% monthly in enterprises, prompting key decisions to block or enable based on security, productivity concerns.
By enhancing remote management and adopting hardware-enforced security, productivity can continue without inviting extra cyber-risk.