Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Higher education institutions are the most targeted sector for cyberattacks. Yet the teams responsible for managing that risk often face a structural disadvantage: they’re accountable for a vendor ecosystem they can’t fully see. Academic autonomy and the scale of university operations mean that vendors enter the institution through departments, research groups, and administrative teams before InfoSec has full visibility. This challenge is built into how higher education operates.

Higher education institutions don’t run on a single vendor ecosystem. They run on dozens of overlapping ones. Teaching, research, identity, payments, student services, cloud infrastructure, alumni engagement, and campus operations all rely on different third-party vendors. These often enter the institution through departments and administrative teams before InfoSec becomes aware of them. This is the operational reality that higher education TPRM software addresses.

Artificial intelligence (AI) is transforming industries, but it also introduces new risks that organizations must manage carefully. This article explains how to develop and apply AI risk categories aligned with recognized frameworks, focusing on operational, technical, and ethical risks. Readers will learn how to prioritize these risks based on their potential impact on the organization.

A threat intelligence platform (TIP) is the software layer that bridges the gap between raw threat data and your team's security decisions. It aggregates signals from open, deep, and dark web sources, normalizes indicators of compromise (IOCs), enriches them with context like reputation scores and malware family attribution, and maps adversary tactics, techniques, and procedures (TTPs) so analysts can act instead of investigating.

AI! It's in everything, everywhere, all at once! It’s reading emails, summarising meetings, drafting documents, and writing code, and it’s no longer just giving us answers. We now also have agents that act on their own, access other systems, and make decisions with little to no human oversight. From a capability standpoint, it’s amazing.

The 2026 NASCIO-Deloitte Cybersecurity Study reveals a stark reality for CISOs in state governments: while cyber threats are growing in both sophistication and volume, the resources available to combat them are failing to keep pace. As foreign adversaries and cybercriminals weaponize AI to probe for vulnerabilities, state CISOs find themselves at a critical juncture, navigating expanding responsibilities amidst tightening budgets.

Accelerating security solutions for small businesses‍ Tagore offers strategic services to small businesses. A partnership that can scale‍ Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors‍ Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market.

If you've ever pulled an asset count from one tool and compared it to another, you've probably noticed they don't match. The discrepancy isn’t minor, either. The difference is likely to be substantial. One scanner says you have 4,200 assets. Your CMDB says 3,800. Your cloud inventory says 1,100. None of them agree, and none of them are right. That's not a data hygiene problem you can solve with a spreadsheet cleanup.

AI governance platforms are evolving rapidly to manage new challenges such as shadow AI and agentic AI. These complexities arise as AI systems grow beyond traditional boundaries, operating autonomously and often without clear oversight. This article explores how leading AI governance solutions, especially Kovrr’s integrated platform, address these challenges through comprehensive visibility, risk quantification, compliance automation, and active enforcement.