Incident responders are overwhelmed, and the workload keeps growing. Cybersecurity needs a more comprehensive approach to incident response—one that reduces mistakes and directs limited resources toward the work that matters most. A new book explores how to make incident response more effective and is available for free to help as many people as possible. What changes would help incident response teams work more effectively? #IncidentResponse #Cybersecurity #ThreatManagement

AI can find vulnerabilities in unexpected ways. But can you trust it to find them consistently? AI penetration testing benefits from letting models explore freely, but that flexibility can make it harder to follow a repeatable testing methodology. As Chris Wallace explains, the same application can produce different findings across separate runs. For security teams, that creates a real challenge: discovery matters, but so does reliability. How consistent should an AI penetration test be before you trust its results? #Cybersecurity #AIPentesting #ApplicationSecurity

Cyber risk isn't just about how fast you fix problems. A stronger risk program can measure each major risk through three lenses: exposure, remediation, and prevention. Exposure gets extra weight because understanding how much risk exists is critical. Which of these three metrics matters most to your security program? #Cybersecurity #CyberRisk #SecurityMetrics

AI could change cybersecurity staffing, but does fewer job postings mean fewer people are actually needed? After years of warnings about cybersecurity talent shortages, the idea of handing more responsibility to AI raises an uncomfortable question: who steps in when something goes wrong? The cited report tracks hiring ads, while economic conditions may also help explain the decline. How much security work should organizations trust AI to handle without human oversight? #Cybersecurity #ArtificialIntelligence #CyberSecurityJobs

Cybersecurity shouldn't operate in a silo. Matt Alderman argues that security decisions need to connect to enterprise risk, financial priorities, and business resilience—not just technical severity scores. He also questions whether vendors that rely on fear, uncertainty, and doubt are helping organizations make better decisions or simply driving sales. How can security teams connect technical findings to the risks that matter most to the business? #Cybersecurity #BusinessRisk #RiskManagement

Modern attacks can exploit security decisions made decades ago. Kriss Stephen explains how old Active Directory permissions, staff turnover, and neglected configurations can leave organizations carrying technical debt alongside newer threats, including AI-powered attacks. His recommendation is straightforward: simplify what you can and plan for the day a security incident happens. How often does your organization review the permissions and configurations people leave behind? #ActiveDirectory #IdentitySecurity #Cybersecurity

What if the person negotiating your ransomware payment gave criminals your limits? One negotiator pleaded guilty to sharing clients’ negotiating positions and insurance policy limits with the BlackCat ransomware group. In a separate case, prosecutors accused a recovery company executive of fraud involving ransom payments. These cases raise serious questions about trust and accountability—but they do not establish a single coordinated conspiracy. How can organizations verify that their ransomware negotiators are acting in their interests? #Ransomware #Cybersecurity #CyberCrime

Knowing the biggest security risks is only the first step. OWASP Top 10 lists help developers recognize common concerns, but awareness alone doesn't explain how to test for vulnerabilities or fix weaknesses. That's why concrete practices, tools, techniques, and tests matter. The OWASP Mobile Application Security project aims to take security guidance beyond high-level lists and into practical application. What helps developers turn security awareness into action? #OWASP #AppSec #MobileSecurity

AI can accelerate security testing, but its output still needs human review. Jan Seredynski explains how LLMs help the OWASP project develop new tests and identify weaknesses faster. The catch? AI-generated results need to be checked, and experienced contributors can bring ideas that automated tools might miss. The project is looking for more people to help improve its security testing resources. How should security teams balance AI speed with human verification? #AIsecurity #OWASP #AppSec

The login integration looked legitimate. The authentication wasn't happening. An AI penetration tester examined a customer's Google single sign-on integration and found that the application was accepting an email address and signing the user in without authenticating through Google. It's a reminder that familiar security integrations aren't automatically safe. How do you verify that an authentication flow is actually checking identity? #Cybersecurity #Authentication #PenetrationTesting

AI-written books are getting harder to spot, so one UK startup wants to put a label on the ones written by humans. Publishers can submit manuscripts for a review that combines human readers with AI-detection tools. The idea sounds simple, but figuring out who—or what—wrote a book isn't always so straightforward. Would you trust a label on the cover to tell you a book was written by a real person? #AI #BookPublishing #ArtificialIntelligence

Software can look legitimate and still connect to known malicious sites. An isolated testing environment can expose suspicious behavior before an application gets approved. By capturing the files a program needs and watching what it does, security teams can spot warning signs before the software reaches users. The goal is to catch the problem without overwhelming people with constant security prompts. Would you trust software more if you could see what it does before installing it? #Cybersecurity #Malware #ApplicationSecurity

An AI security agent needs more than good intentions. Offensive-security AI can be powerful, but autonomous agents also need hard boundaries. That means blocking destructive actions inside the model and enforcing external controls that the agent cannot modify. What happens when an AI agent crosses the scope of a penetration test? #Cybersecurity #AISecurity #Pentesting

A virtual machine is supposed to stay isolated from its host. This Linux kernel flaw put that boundary at risk. The vulnerability reportedly allowed code running inside a VM to extract 32-byte blocks of host memory by sending network traffic. It's a reminder that virtualization depends on the security of the underlying kernel, too. How much trust should we place in virtual machine isolation? #Linux #Cybersecurity #KernelSecurity

Your GitHub repositories might contain more than code. After attackers accessed repositories linked to Meta, around 1,500 people were reportedly notified that personal information had been exposed. It's a reminder to check what's stored in your repos, who can access it, and whether developers are downloading outside code without proper review. When was the last time you checked what's actually sitting in your repositories? #Cybersecurity #GitHub #DataBreach

Solar infrastructure can have strong security controls and still contain a critical authentication flaw. Smokes Cigars breaks down an authentication-bypass vulnerability affecting software used to control Sungrow solar power infrastructure. Firmware signatures, encryption, and TLS were in place, but researchers noticed an unexpected detail in the login request: an integer called “login type.” What happens when security depends on a field nobody thought to question? #Cybersecurity #SolarSecurity #AuthenticationBypass

AI doesn't get tired. That changes offensive security. With the right human expertise, AI models and agents can explore much deeper and wider in a matter of hours than a person can alone. But speed and scale don't eliminate the need for human judgment. How much of offensive security can AI actually take over? #Cybersecurity #AISecurity #OffensiveSecurity

A security priority should have a reason to exist. If a security team's priorities don't map to the organization's top risks, it's worth asking why they're priorities in the first place. And implementing a new control isn't enough—you need to measure whether it's actually reducing risk. Is your security program focused on the things that matter most? #Cybersecurity #RiskManagement #CISO

Getting a foothold in an organization may cost less than you think. Ransomware payment totals tell only part of the story. Victim counts, median payments, and dark-web access prices reveal a more complicated picture. Basic access may be getting cheaper, but privileged enterprise access remains a different proposition. The real challenge is what happens after an attacker gets inside. How well does your architecture limit what they can do next? #Ransomware #Cybersecurity #ThreatIntelligence

You can't predict every AI behavior. You can control its permissions. Account access, data exposure, and authorization are familiar security fundamentals, even as AI introduces new uncertainties. Reviewing use cases with architects can slow deployment, but it helps establish clear boundaries around what systems can access. When the technology keeps changing, which security controls should remain nonnegotiable? #AIGovernance #AccessControl #Cybersecurity