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Ramat Gan, Israel, January 7th, 2025, CyberNewswire — CyTwist , a leader in advanced next-generation threatdetection solutions, has launched its patented detectionengine to combat the insidious rise of AI-generated malware.
Inefficient use of data for correlation in many cases, relevant data is available to detectthreats, but there are no correlation rules in place to leverage it for threatdetection. This article focuses solely on SIEM-based detection management. This only leads to the degradation of the log visibility matrix.
This post is a somewhat random exploration of the cloud shared responsibility model relationship to cloud threatdetection. Funny enough, some popular shared responsibility model visuals don’t even include detection, response or security operations. Related blogs: “Why is ThreatDetection Hard?” “On
The technology, which first emerged primarily in the world of gaming and entertainment, now promises to reshape our reality with interactive information and immersive experiences. In short, AR is undoubtedly a groundbreaking technology that will reinvent how we interact with the digital world. Related: Is the Metaverse truly secure?
Hence, using a threat prevention and detection solution that doesn’t disrupt day-to-day operations while providing early warning and stopping potential threats before they escalate is essential. Moreover, one of the most important trends in threatdetection is the move toward artificial intelligence (AI).
SOC Technology Failures?—?Do img src: [link] Most failed Security Operations Centers (SOCs) that I’ve seen have not failed due to a technology failure. Let’s stick to mostly technology focused failures. Perhaps the tool vendor made some incorrect assumptions about how their technology is really used in the real world?
This blog series was written jointly with Amine Besson, Principal Cyber Engineer, Behemoth CyberDefence and one more anonymous collaborator. DetectionEngineering is Painful — and It Shouldn’t Be (Part 1) Contrary to what some may think, a detection and response (D&R) success is more about the processes and people than about the SIEM.
As the threat landscape evolves and multiplies with more advanced attacks than ever, defending against these modern cyber threats is a monumental challenge for almost any. Threatdetection is about an organization’s ability to accurately identify threats, be it to. on your systems, threatdetection is impossible.
To wrap up our 2024 year-end roundtable, we turn our attention to new technologies and trends that are emerging to help bridge the gaps. Organizations face rising risks of AI-driven social engineering and personal device breaches. Network Detection and Response (NDR) solutions use AI to extrapolate and identify latent threats.
This new agentic AI solution leverages semantic reasoning to analyze application code and logic in real time, delivering deterministic vulnerability detection, contextual risk prioritization, and automated remediation. Aptoris AI-driven approach goes beyond traditional static analysis.
The debate focused on the role of context in threatdetection. Specifically, it is about the role of local context (environment knowledge, organization context, site details, etc) in threatdetection. Can threatdetection work well without such local context? Now, some of you will say “yes, of course!”
AI-powered threatdetection is enabling organizations to identify and neutralize attacks faster, but adversarial AI is also supercharging cyber threats. According to the report: "AI can analyze vast amounts of security data in real time, identifying anomalies and potential threats faster than traditional methods.
Splunk’s inability to migrate to a modern cloud-native architecture makes it difficult to take advantage of these cost-saving benefits or implement advanced data science use cases critical for threatdetection. Impactful analysis A decoupled, purpose-built threatdetection platform can work across distributed data lake architectures.
Hurd Wayne Hurd , VP of Sales, Luminys Video Surveillance as a Service (VSaaS) advancements will provide more accurate threatdetection that allows security teams to focus on real risks, minimizing false alarms. Security teams will need to address the unique risks posed using LLMs in mission critical environments.
Beware the Poisoned Apple: Defending Against Malware and Social Engineering Just like Snow White was tricked into accepting a poisoned apple from the Evil Queen, malware and social engineering attacks exploit trust to deliver harmful payloads. Are your defenses ready to withstand a "Jack"?
Microsoft announced an improvement of its Defender antivirus that will leverage Intel’s ThreatDetectionTechnology (TDT) to detect processes associated with crypto-miners. Cryptojacking malware allows threat actors to secretly mine for cryptocurrency abusing computational resources of the infected devices.
Second, the design of security solutions struggled to scale up properly or adapt to the technological changes in the industry, especially in disaggregated compute networks. The good news is, artificial intelligence is here and is showing great promise to deliver what the market needs, that is, pre-emptive and proactive threatdetection.
Social engineering attacks have long been a threat to businesses worldwide, statistically comprising roughly 98% of cyberattacks worldwide. Given the much more psychologically focused and methodical ways that social engineering attacks can be conducted, it makes spotting them hard to do.
Security Information Event Management (SIEM) systems are an outdated technology. It’s no longer enough to just manage information – today’s organizations need technology that can proactively detect and respond to dynamic threats as well. But over the last five years, the threat landscape has changed quickly.
Skills, Not Tiers” “Beware: Clown-grade SOCs Still Abound”” “Revisiting the Visibility Triad for 2020” Top 5 posts with the most Medium fans : “Security Correlation Then and Now: A Sad Truth About SIEM” “Beware: Clown-grade SOCs Still Abound” “Can We Have “Detection as Code”?” “Why Why Is ThreatDetection Hard?” “A
And one of the most successful and increasingly prevalent ways of attack has come from social engineering, which is when criminals manipulate humans directly to gain access to confidential information. Social engineering is more sophisticated than ever, and its most advanced iteration is the topic of today's discussion: deepfakes.
It is also a celebration of Canadian thought leadership on very important business and technology topics that are directly impacting Canadians quality of life as well as their pocketbooks." Key findings: the cyber threat landscape in 2025 1.
I recall my first job as a Chocolate Engineer in the mid 90s where I was wowed by robotic packaging systems and couldnt even imagine then how we now apply robots to achieve huge efficiency and quality advances across our industries today. As technology continues to advance, which ethical considerations do you think will become most pressing?
Nayyar: Many security vendors want a piece of the SIEM market, even if their technology isn’t necessarily purpose-built. Gurucul pioneered UEBA technology a decade ago – in fact our company was built around this capability. Can you frame how legacy security tools (NGFW, WAF, web gateways, SIEM, SOAR, UEBA, XDR, VM, IAM, etc.)
Kaspersky Managed Detection and Response service (MDR) provides round-the-clock monitoring and threatdetection, based on Kaspersky technologies and expertise. The annual MDR analyst report presents insights based on the analysis of incidents detected by Kaspersky’s SOC team.
With the addition of Kenna Security into our program we now have over 250 technology partners and over 400 integrations for our mutual customers to utilize. An integration with Cigent Technology is now available for Secure Endpoint customers to integrate with. Kenna has a healthy 3rd Party ecosystem of technology partners.
Todays adversaries employ advanced tactics like cross-domain attacks, use of stolen credentials, and sophisticated social engineering campaigns to infiltrate systems. Its not just about waiting for an alert; it’s about actively searching for hidden threats in real-time.
The financial terms of the deal are yet to be known, but reports are in that the deal only includes assets belonging to the cyber arm of the Applied Engineering Solutions (aeSolutions) and not other businesses. Root9B a threatdetection service provider that will be integrated into Deloitte’s Fusion Managed Security Service.
In my mind, “Decoupled SIEM” is a way to deliver Security Information and Event Management (SIEM) technology where the data management (a) and threat analysis (b) are provided by different vendors. So, the topic is so-called “decoupled SIEM” (I probably made up the term, but …hey… at least this is not an acronym like EDR so YMMV).
Complementing these internal innovations, five partner-driven agents bring specialized expertise to the table, forming a comprehensive security ecosystem that detectsthreats and proactively mitigates risk across networks, identities, and data.
Encryption Technologies: Encryption protects data confidentiality and integrity, but attackers also use it to conceal malware, establish encrypted communication channels, and secure stolen data. Social Engineering Tactics: These tactics exploit human psychology to manipulate individuals.
Cybersecurity teams must always up-level their own technology and strategies but, with limited time and resources, may find themselves asking questions like: Should I request funds for this initiative? What about insourcing or outsourcing threat management? . 4) Developing Accurate ThreatDetection.
Discussions are underway in the technology sector about how Artificial Intelligence could someday eliminate bias in the workplace, and thus engender a more meritocratic workplace. “We’re Imagine assigning a dozen 50-year-old American males to monitor and tweak the machine learning algorithms in a threatdetection dashboard.
When you tune in to my interview with BlackBerry’s Director of Sales Engineering, Paul Fryer , you’ll hear his view on secure communication, and why this is such a focus for BlackBerry right now. Nation-states and geopolitical tensions are increasingly fuelling modern cyber threats.
Quantum computing focuses on developing computer technology based on principles that describe how particles and energy react at the atomic and subatomic levels. While the science is a bit muddy for those who are not quantum theory experts, we can all agree that quantum computing is faster than any other computing technology.
We live in a time where technology is advancing rapidly, and digital acceleration is propelling development teams to create web applications at an increasingly faster rhythm. These technologies help check the source code for vulnerabilities that could be exploited by attackers in a production environment. Plain sight gaps.
This post is a somewhat random exploration of the cloud shared responsibility model relationship to cloud threatdetection. Funny enough, some popular shared responsibility model visuals don’t even include detection, response or security operations. Anton’s Cloud ThreatDetection Table. Mildly embarrassing, that.
Moreover, ongoing support of the technologies will be managed through AT&T’s Integrated Service Experience to provide first-touch for customer issues, initial triaging of tickets, and proactive remediation of known issues. Managed ThreatDetection & Response integration.
7, 2024, CyberNewswire — Criminal IP , a renowned Cyber Threat Intelligence (CTI) search engine developed by AI SPERA , has partnered with Hybrid Analysis , a platform that provides advanced malware analysis and threat intelligence, to enhance threat research. Torrance, Calif.,
This blog series was written jointly with Amine Besson, Principal Cyber Engineer, Behemoth CyberDefence and one more anonymous collaborator. Operating Model 1: CTI Feeds SOC / DetectionEngineering Some organizations have a clearly defined and separate CTI team, which supplies information to different teams, functions and recipients.
The Kaspersky ICS CERT published a report that provided details about the threat landscape for computers in the ICS engineering and integration sector in 2020. Kaspersky ICS CERT published a report that provided details about the threat landscape for ICS engineering and integration sector in 2020. In H2 2020, 39.3%
Byron: I was initially drawn to cybersecurity as a USA TODAY technology reporter assigned to cover Microsoft. Erin: What cybersecurity technologies are you most excited about right now? How can individuals and organizations detect and protect themselves against the misuse of deep fake technology?
The technology that corrals malicious software circulating through desktop PCs, laptops and mobile devices has evolved into a multi-layered security technology referred to as ‘endpoint security.’. So next, threat actors focused on honing techniques to gain access to privileged accounts.
Let’s continue our fun conversation on threatdetection in the cloud that we started in “Who Does What In Cloud ThreatDetection?” and “How to Think about ThreatDetection in the Cloud” and continued somewhat in “Detection as Code? No, Detection as COOKING!” or even goodness in detection.
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