Lol. AI didn't even need to do much here. The biggest cybersecurity threat was someone forgetting to check a permissions box. Classic human error doing more damage than any model could. But on a serious note. If AI can find and exploit vulnerabilities faster than humans can patch them, that same speed works in reverse. AI-powered defense should theoretically be just as fast.
SQL Injection (SQLi): How to Protect against SQL Injection Attacks What Is SQL Injection (SQLi)? SQL injection (SQLi) is a cyberattack that injects malicious SQL code into an application, allowing the attacker to view or modify a database. According to the Open Web Application Security Project, injection attacks, which include SQL injections, were the third most serious web application security risk in 2021. In the applications they tested, there were 274,000 occurrences of injection. To protect against SQL injection attacks, it is essential to understand what their impact is and how they happen so you can follow best practices, test for vulnerabilities, and consider investing in software that actively prevents attacks. Consequences of a Successful SQL Injection Attack SQL injection attacks can have a significant negative impact on an organization. Organizations have access to sensitive company data and private customer information, and SQL injection attacks often target that confidential information. When a malicious user successfully completes an SQL injection attack, it can have any of the following impacts: Exposes Sensitive Company Data: Using SQL injection, attackers can retrieve and alter data, which risks exposing sensitive company data stored on the SQL server. Compromise Users’ Privacy: Depending on the data stored on the SQL server, an attack can expose private user data, such as credit card numbers. Give an attacker administrative access to your system: If a database user has administrative privileges, an attacker can gain access to the system using malicious code. To protect against this kind of vulnerability, create a database user with the least possible privileges. Give an Attacker General Access to Your System: If you use weak SQL commands to check usernames and passwords, an attacker could gain access to your system without knowing a user’s credentials. With general access to your system, an attacker can cause additional damage accessing and manipulating sensitive information. Compromise the Integrity of Your Data: Using SQL injection, attackers can make changes to or delete information from your system. Because the impact of a successful SQL injection attack can be severe, it’s important for businesses to practice prevention and limit vulnerabilities before an attack occurs. To do that, you must understand how a SQL injection attack occurs, so you know what you’re up against... ... 2. Inferential SQL Injection Inferential SQL injection is also called blind SQL injection because the website database doesn’t transfer data to the attacker like with in-band SQL injection. Instead, a malicious user can learn about the structure of the server by sending data payloads and observing the response. Inferential SQL injection attacks are less common than in-band SQL injection attacks because they can take longer to complete. The two types of inferential SQL injection attacks use the following techniques: Boolean injection: With this technique, attackers send a SQL query to the database and observe the result. Attackers can infer if a result is true or false based on whether the information in the HTTP response was modified. Time-based injection: With this technique, attackers send a SQL query to the database, making the database wait a specific number of seconds before responding. Attackers can determine if the result is true or false based on the number of seconds that elapses before a response. For example, a hacker could use a SQL query that commands a delay if the first letter of the first database’s name is A. Then, if the response is delayed, the attacker knows the query is true.
Q-Day Just Got Closer: Three Papers In Three Months Are Rewriting The Quantum Threat Timeline In fewer than twelve months, three research papers have sharply reduced the estimated quantum resources required to break the cryptographic systems that protect the global digital economy. Together, they represent the most significant shift in quantum threat assessment since Peter Shor published his factoring algorithm in 1994. The punchline: what once required 20 million qubits now requires fewer than one million for RSA, potentially fewer than 100,000 under newer architectures, and fewer than 500,000 for the elliptic curve cryptography that protects every major cryptocurrency and most digital signatures. One of the papers was so sensitive that its authors chose not to publish the actual attack circuits, instead releasing a cryptographic proof that the circuits work without revealing how they work. If you are a CISO, CTO, or policymaker still treating quantum risk as a future problem, that decision should give you pause. https://thequantuminsider.com/2026/...hs-are-rewriting-the-quantum-threat-timeline/
