Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Anthropic Claude has become a powerhouse for enterprise organizations, supercharging everything from software engineering to data analysis. But with great agentic AI power comes an equally massive security challenge. Every prompt, snippet of code, or piece of customer PII fed into the Claude platform represents a potential data leak or compliance breach. To safely leverage AI’s full potential, CISOs and engineering leaders can no longer rely on yesterday’s security stack.

AI agent guardrails are the controls that define what an AI agent can access, which tools it can use, what actions it can take, and when human approval is required. In cloud, SaaS, CI/CD, and production environments, these guardrails are especially important because agents can inherit permissions and affect sensitive resources faster than a human operator could manually review.

CVE-2026-57517 is a blind SQL injection vulnerability in Control Web Panel (CWP), caused by insufficient sanitization of the userRes POST parameter submitted to the panel’s user endpoint before the value is used to build a SQL query. The vulnerability carries a CVSS v3.1 base score of 9.8 (Critical).

CVE-2026-40138 and CVE-2026-40139 are two pre-authentication vulnerabilities in the authentication subsystem of BeyondTrust Remote Support (RS) and Privileged Remote Access (PRA), stemming from improper validation and processing of authentication data. Both carry a CVSS v3.1 base score of 9.2 (Critical).

Vulnerability assessment is a systematic process that finds, assesses, and prioritises vulnerabilities in a system or application. Vulnerability assessment is considered a part of a larger family of vulnerability management. Vulnerability management is related to vulnerability analysis to identify conditions that lead to decision-relevant outcomes.

If a known exploited vulnerability appeared on your internet-facing application right now, what would your team actually do in the next 12 hours? What would actually happen, given your tooling, your sprint cycle, your change management queue, and who is available. CERT-In’s blueprint sets these timelines because generative AI and autonomous agents have collapsed the attacker timeline to the point where anything longer is already too slow.

Medtronic Plc is an American-Irish medical device company founded in 1949. As one of the largest medical device companies in the world and with over 90,000 employees, the company operates in about 150 countries. Its products treat 70 health conditions, helping an estimated 75 million people globally every year. Earlier in 2026, the company was the victim of a cybersecurity incident that impacted some of its corporate IT systems.

There’s an important metric that can tell you exactly how vulnerable your high-risk employees and departments are to the next generation of social engineering. It’s not phishing click rates or training completion percentages. It probably doesn’t show up on any security dashboard. It’s the precise number of days it takes your team to respond to a live, context-specific threat with adequate training – training time to market.

For years, security teams have poured resources into locking down the inbox, and for good reason. Email has always been the front door for phishing and social engineering. Unfortunately, another door has been left wide open: Microsoft Teams. Threat actors are increasingly posing as IT helpdesk staff inside Microsoft Teams chats, exploiting the built-in trust employees place in their internal collaboration tools to steal credentials and take over accounts.