Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Cyber Risk Register, Reimagined With Quantification | Kovrr

For years, security and risk managers have relied on spreadsheets to track their cyber risk. But as regulatory expectations tighten and threats grow more sophisticated, manual tracking cannot keep up. In this video, Kovrr walks through what a modern cyber risk register looks like when cyber risk quantification is built into its foundation. We cover.

TITAN AI Demo Series: Detect and Respond to Zero-Days across Your Supply Chain with TITAN MAX

When a new zero-day drops, security teams need one answer fast: which vendors are exposed right now? Most teams find out weeks later, once a vendor questionnaire finally catches up. SecurityScorecard's MAX applies live threat intelligence to your vendor ecosystem instead, flagging exposed vendors the moment threats emerge and engaging them directly to drive remediation. In one case, MAX helped a large bank reach a 70% vendor engagement rate. High- and critical-risk vendors dropped 80%, without adding internal resources.

Guide to measuring risk management performance with the right focus areas

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.

The ECB's AI Cybersecurity Action Plan: Why Speed, Visibility, and Evidence Matter

AI is compressing the cybersecurity timeline faster than most institutions can adapt to it. Not only do security leaders have to deal with this new reality, they have to answer key questions to internal and external audiences about their efforts — including regulators.

No Hackers Required: 10 Shadow AI Leaks Hiding in Plain Sight

“The call is coming from inside the house.” It’s one of horror’s oldest lines, and you already know how the scene goes. The team scrambles, rechecks every firewall, audits every login, hunting for an intruder. Then the trace comes back, and there isn’t one because there is no malware or forced entry. Just an employee, at their own desk, with their own login, who pasted a confidential spreadsheet into an unapproved AI tool to save 10 minutes before a deadline.

TITAN AI Demo Series: What a Mature TPRM Program Looks Like with TITAN MAX

Most Third-Party Risk Management (TPRM) programs can be compliance-driven and reactive. A mature program looks different. See what threat-informed TPRM with continuous monitoring looks like in SecurityScorecard's Demo Tuesday series. Vendor engagement drives real remediation. Your team spends time on risk decisions instead of manual busywork. TITAN MAX pairs the TITAN AI platform with SecurityScorecard's expert team to run these workflows on your behalf Continuous monitoring through a dedicated Vendor Risk Operations Center Faster questionnaire cycle times, without adding headcount.

America's New Security Doctrine: Hardening Digital and Supply Chain Borders

In the span of six weeks this summer, the United States government issued three separate security directives that, on the surface, appear to address completely different problems. One tightens how federal agencies patch software vulnerabilities. Another creates a government-industry clearinghouse to triage AI-discovered bugs. The third restructures how defense contractors source the raw materials that go into missiles, aircraft, and military electronics. Different agencies. Different languages.

How to Quantify Cyber Risk for Board-Level Reporting

Quantifying cyber risk for the board means translating technical exposure into dollar-denominated financial risk that the audit committee, CFO, and directors can act on. Boards care about strategic business impact like operational downtime, regulatory penalties, and reputational damage. ‍ They do not care about patch rates, blocked emails, or firewall logs, which are the metrics cyber teams have historically brought to board meetings and which board members have historically ignored.

AI Agents and MCP: Security Implications

The Model Context Protocol has quietly become the connective tissue of enterprise agentic AI. MCP standardizes how AI agents discover, request, and invoke tools, data sources, and external systems, replacing the custom integration code that used to sit between every agent and every backend. ‍ That standardization is what made agents commercially viable at scale. It is also what turned MCP into one of the largest and least-understood attack surfaces in enterprise AI.