Palo Alto, Calif., Sept.11, 2024, CyberNewsWire — Opus Safety, the chief in unified cloud-native remediation, at the moment introduced the launch of its Superior Multi-Layered Prioritization Engine, designed to revolutionize how organizations handle, prioritize and remediate safety vulnerabilities.
Leveraging AI-driven intelligence, deep contextual knowledge and automatic decision-making capabilities, this revolutionary engine helps organizations prioritize probably the most vital vulnerabilities, enhancing each safety posture and operational effectivity.
Remediation breakthrough
Safety groups are overwhelmed by the necessity to quickly prioritize alerts from a number of instruments throughout varied assault surfaces. These might embrace redundant alerts or negligible findings and groups should determine which to handle first with out enough info, context and skill to take action. Safety groups battle to establish and tackle probably the most vital points, and builders have restricted time and scope to dedicate to safety fixes—particularly when it isn’t clear what’s essential and what’s negligible. Builders are sometimes bombarded with alerts which might be duplicates or irrelevant on account of inefficient prioritization—losing time and growing friction and frustration.
Opus Safety’s Superior Multi-Layered Prioritization Engine is a transformative method to vulnerability administration. By integrating a number of layers of intelligence, contextual evaluation and danger mitigation, the engine ensures that safety groups can successfully prioritize and tackle probably the most vital vulnerabilities, lowering danger, enhancing operational effectivity and supporting total enterprise objectives. The engine integrates conventional vulnerability severity scoring with dynamic exploitability evaluation, detailed environmental context and an automatic decision-making course of to offer a strong technique for rating vulnerabilities.
A key part of this engine is the AI-Based mostly Vulnerability Intelligence Layer, which fits past conventional severity scoring. This layer leverages over 700 real-time menace intelligence feeds to construct a deep and nuanced understanding of every vulnerability’s danger. By incorporating intelligence from sources comparable to darkish internet boards, social media, open-source instruments, exploit databases and energetic menace campaigns, the engine can flag high-risk points with unparalleled accuracy. This intelligence-driven method ensures that organizations are conscious of vulnerabilities and their chance of exploitation within the wild, permitting for proactive and knowledgeable remediation efforts.
Utilizing a five-layered framework, the engine first performs a Base Severity Evaluation, aggregating severity scores from main safety instruments and public databases to make sure that no vital vulnerabilities are ignored. Subsequent, the AI-Based mostly Vulnerability Intelligence layer leverages real-time menace intelligence to flag high-risk points based mostly on their chance of exploitation.
The Contextual Influence layer then prioritizes vulnerabilities in response to their relevance to particular enterprise features, defending vital techniques first, particularly those who deal with delicate knowledge. The engine is the primary to allow actual SSVC decision-making, absolutely baked into the product. This helps groups categorize vulnerabilities into particular response actions based mostly on the affected surroundings’s severity, exploitability and criticality. Lastly, the Danger Customization layer permits organizations to tailor prioritization in response to their distinctive danger urge for food and operational wants.
Moreover, Opus Safety introduces Easy Information Querying, permitting customers to work together with the platform utilizing pure language. This function permits customers to shortly refine vulnerability lists based mostly on particular considerations and make exact, data-driven selections by leveraging superior AI-powered insights.
Driving operational excellence
The engine’s multi-layered method ensures unprecedented precision in danger administration by integrating real-time intelligence with detailed contextual evaluation. This integration permits SSVC decision-making, permitting safety groups to concentrate on vulnerabilities that really matter, lowering the chance of overlooking vital vulnerabilities.
Opus aligns safety selections with enterprise priorities by deeply understanding the group’s construction, vital providers and danger profiles, driving context-aware decision-making that protects vital belongings and instantly helps strategic objectives.
Har
“Opus’ new Superior Multi-Layered Prioritization Engine is a game-changer in vulnerability remediation, simplifying, streamlining and optimizing the method significantly. The engine’s skill to prioritize the vulnerabilities that pose the best danger reduces total safety prices and helps safety and developer groups keep away from pointless remediation of low-risk points,” mentioned Meny Har, CEO of Opus Safety. “Minimizing friction between improvement and safety groups, driving smoother collaboration and making certain that safety measures don’t impede the event course of signifies that all groups can concentrate on what issues and repair what counts.”
About Opus Safety: Opus Safety is on the forefront of cloud-native vulnerability remediation, delivering options that streamline remediation throughout advanced IT ecosystems. Opus Safety gives unparalleled visibility and management over vulnerabilities by integrating present safety instruments and enhancing them with superior AI and contextual intelligence. The platform’s revolutionary options, together with the brand new Superior Multi-Layered Prioritization Engine, empower organizations to guard their most important belongings with confidence and precision. For extra details about Opus Safety and its options, go to https://www.opus.safety/.
Media contact: Hannah Sather, Senior Account Government, Montner Tech PR
hsather@montner.com
