cyber security software | Breaking Cybersecurity News | The Hacker News

Google's one-year-old cybersecurity venture Chronicle today announced its first commercial product, called Backstory , a cloud-based enterprise-level threat analytics platform that has been designed to help companies quickly investigate incidents, pinpoint vulnerabilities and hunt for potential threats. Network infrastructures at most enterprises regularly generate enormous amounts of network data and logs on a daily basis that can be helpful to figure out exactly what happened when a security incident occurs. However, unfortunately, most companies either don't collect the right telemetry or even when they do, it's practically impossible for them to retain that telemetry for more than a week or two, making analysts blind if any security incident happens before that. Backstory solves this problem by allowing organizations to privately upload and store their petabytes of "internal security telemetry" on Google cloud platform and leverage machine learning and da...

We live in an age where data flows like water, becoming the new life source of our everyday ventures. As such, you can just imagine what all of that entails and the weight that data receive, especially when it comes to a decision making on how to handle this fairly new and arguably invaluable resource. Of course, we are well aware from a very young age that our water needs to be pure, filtered and possibly protected, so this pops the question and makes us wonder: How exactly does all of this translate for our data, its handling processes and ultimately our Security? It is no secret that our personal information is as valuable if not more than actual currency. Imagining your social security number, medical bills or paycheck amounts flowing through vast amounts of seemingly random servers all across the globe can be unnerving. It brings out the same questions that we would have for anything else of value: Where is it going? Who can see it? Why are they holding it? ... Is ...

In 1999, Bruce Schneier wrote, "Complexity is the worst enemy of security." That was 19 years ago (!) and since then, cyber security has only become more complex. Today, controls dramatically outnumber staff available to support them. The Bank of America has a $400-million cyber budget to hire security staff and implement a broad array of products. But what if your budget and sophistication is just a tiny fraction of the Bank of America's? The remaining 99% of organizations understand that they don't have sufficient protection for their internal network, but they also realize that to be sufficiently secured they need to buy multiple solutions and hire a large team to maintain it – which isn't an option. So they either stay with just an AV or buy a point solution to defend a specific part of their internal environment from particular types of attacks – only to later find out it doesn't meet what they really need. Cynet wants to change all that. ...

Security operations centers (SOCs) are under pressure from both sides: threats are growing more complex and frequent, while security budgets are no longer keeping pace. Today's security leaders are expected to reduce risk and deliver results without relying on larger teams or increased spending. At the same time, SOC inefficiencies are draining resources. Studies show that up to half of all alerts are false positives, with some reports citing false positive rates as high as 99 percent . This means highly trained analysts spend a disproportionate amount of time chasing down harmless activity, wasting effort, increasing fatigue, and raising the chance of missing real threats. In this environment, the business imperative is clear: maximize the impact of every analyst and every dollar by making security operations faster, smarter, and more focused. Enter the Agentic AI SOC Analyst The agentic AI SOC Analyst is a force multiplier that enables organizations to do more with the team an...