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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
While the threat landscape is constantly evolving, there are a few trends that we are seeing in the modern cybersecurity landscape: •Increased use of AI and automation by attackers. •A As a result, there is an increased demand for threatdetection solutions that can provide faster and actually effective responses to threats.
This blog series was written jointly with Amine Besson, Principal Cyber Engineer, Behemoth CyberDefence and one more anonymous collaborator. In this blog (#3 in the series), we will start to define and refine our detectionengineering machinery to avoid the problems covered in Parts 1 and 2. Stay tuned!
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.
Dall-E security bloggingimage Top 10 posts with the most lifetime views (excluding paper announcement blogs, Medium postsonly): Security Correlation Then and Now: A Sad Truth AboutSIEM Can We Have Detection asCode? A SOC Tried To DetectThreats in the Cloud You Wont Believe What HappenedNext Top 10 SIEM Log Sources in Real Life?
I’ve lamented on this a few times, either touching on general difficulties with detection , its uncertainty or highlighting the fragile detections people write. Related blog posts: “Modern ThreatDetection at Google” (ep17) “Security Correlation Then and Now: A Sad Truth About SIEM” “What Are You NOT Detecting?” “Can
About Threat Intel Retro-Matching Focus Threat Intel Capabilities at DetectionEngineering (Part 4) and the rest of theseries Blueprint for Threat Intel to Detection Flow (Part7) Back to Cooking: DetectionEngineer vs Detection Consumer, Again?
It could also help users identify various cybersecurity attacks, whether they are types of spoofing , phishing, social engineering, or malware. Waqas Apart from the training aspect, AR technology can also be used to enhance threatdetection in real-time.
In my more than ten years as a security analyst, engineer and now founder of a company that solves the challenges of security operations at scale, I’ve seen the successes and. The post The State of ThreatDetection and Response appeared first on Security Boulevard.
A new and dangerous social engineering tactic, dubbed ClickFix, has emerged as a significant cybersecurity threat in 2024, according to a recent report from the Sekoia ThreatDetection & Research... The post Beware of Fake Google Meet Invites: ClickFix Campaign Spreading Infostealers appeared first on Cybersecurity News.
To me, this SIEM content and false positives debate is a micro instantiation of a much bigger debate: the paradox between consuming security and engineering security. They essentially want to consume security, rather than engineer it. No, Detection as COOKING!” “How How to Measure ThreatDetection Quality for an Organization?”
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.
Organizations face rising risks of AI-driven social engineering and personal device breaches. Despite widespread cloud adoption, most SecOps teams rely on outdated, on-premises alert tools, leading to missed threats and wasted resources on false positives.
Traditional security measures struggle to keep pace with the rapid evolution of AI-driven threats, often relying on outdated signature-based detection methods. Additionally, these conventional tools lack the contextual awareness needed to identify sophisticated social engineering tactics employed by AI-powered phishing campaigns.
Acting as a proactive teammate, Aptori’s AI Security Engineer works alongside developers and security teams to identify security weaknesses, assess risk, and implement fixes in real-time. The result is deeper coverage and more precise security insights.
Our engineering team recognized that deploying another box, probe , or even VM at each location in the distributed network was no longer feasible. So we went to the source, the switch, and built in the ability to gather and send telemetry to the cloud to detect advanced persistent threats. . Customers have reported ?
LinkedIn, a professional social networking platform having 20,000 employees serving about 874 million members, has bolstered its IT Infrastructure to protect against the prevailing sophistication driven cybersecurity threats. The post LinkedIn bolsters its cyber threatdetection with Moonbase appeared first on Cybersecurity Insiders.
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.
This group of English-speaking threat actors are known for launching sophisticated campaigns that can bypass weak MFA implementations, leveraging tactics such as SIM swapping, adversary-in-the-middle (AiTM) techniques, and social engineering to gain unauthorized access to organizations’ sensitive data.
This blog series was written jointly with Amine Besson, Principal Cyber Engineer, Behemoth CyberDefence and one more anonymous collaborator. Incomplete, too high-level or overly specific data leads to long analysis time, bias and ultimately inconsistent detection quality and detection coverage gaps.
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.
” Also read: Implementing and Managing Your SIEM Securely: A Checklist DetectionEngineering Helping security analysts parse the data that comes in is also an ongoing challenge. To address that challenge, Gurucul is seeing the rise of detectionengineering groups, Raja said.
Researchers at Datadog Security Labs have uncovered a year-long, large-scale cybercrime campaign by a threat actor tracked as MUT-1244. This operation, which blends social engineering and technical exploitation, has resulted in the theft of more than 390,000 WordPress credentials. Be cautious of unfamiliar GitHub repositories.
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.
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.
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"?
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.
Reversing binaries is an essential skill if you want to pursue a career as exploit developer, reverse engineer or programming. ” The post Reversing a binary using GDB: tutorial for Reverse Engineers appeared first on Cybersecurity Insiders. This blog was written by an independent guest blogger.
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. The TCU is designed as a stand-alone processor that will reside on a motherboard next to a CPU, GPU or other compute engine.
The evolution of security operations in general and SOCs in particular is heavily dependent on a drive towards an engineering-first mindset while operating modern, more secure systems at large scale. Try spending the remaining 50% on improving systems and detections with an “automate-first”, engineering mindset.
Skills, Not Tiers” “Beware: Clown-grade SOCs Still Abound”” “New Paper: “Future of the SOC: Forces shaping modern security operations”” 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 Now, posts by topic.
The hackers rely heavily on social engineering tactics to distribute the malware. Education on verifying app downloads, MFA, advanced threatdetection, encrypted communications, and tighter mobile device management controls can all contribute to protecting users.
New research has uncovered a significant increase in QuickBooks file data theft using social engineering tricks to deliver malware and exploit the accounting software. "A
June 10, 2024, CyberNewsWire — AI SPERA, a leader in Cyber Threat Intelligence (CTI) solutions, announced that it has started selling its paid threatdetection data from its CTI search engine ‘ Criminal IP ‘ on the Snowflake Marketplace. Torrance, Calif.,
AI-powered security solutions can analyze vast datasets to identify subtle indicators of compromise, automate threatdetection, and predict emerging attack vectors. Hardening endpoints to increase the cost of attack Trey Ford, Chief Information Security Officer at Bugcrowd, takes a pragmatic approach to AI-driven cyber threats.
AI, a double-edged sword AI-driven cybersecurity tools enhance threatdetection but also empower attackers with sophisticated social engineering, deepfake campaigns, and automated exploits. Identity ThreatDetection and Response (ITDR) is gaining traction to counter AI-enabled identity fraud.
“Why Is ThreatDetection Hard?” “A Episode 17 “Modern ThreatDetection at Google” Random fun new posts: “Anton and The Great XDR Debate, Part 3” “Left of SIEM? Security operations / detection & response: “Security Correlation Then and Now: A Sad Truth About SIEM” “Can We Have “Detection as Code”?”
AI-driven threatdetection Implementing AI-driven threatdetection allows your organization to analyze enormous volumes of data in real-time. You must equip your staff with the knowledge to recognize phishing attempts, social engineering ploys, and other common cyber threats through regular, targeted training sessions.
Aqua Security this week at the Kubecon + CloudNativeCon North America conference added a cloud-native detection and response (CNDR) capability to its open source Tracee software-based platform. The post Aqua Security Uses eBPF to Extend Security Platform appeared first on Security Boulevard.
Beware: Clown-grade SOCs Still Abound DetectionEngineering is Painful — and It Shouldn’t Be (Part 1) [now a 10 post series, not yet finished…] Why is ThreatDetection Hard? Revisiting the Visibility Triad for 2020” “ Beware: Clown-grade SOCs Still Abound ” “Why is ThreatDetection Hard?” “A
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