MANIFESTO

From high skilled penetration tests to automagical security scanners, the vulnerabilities detection arsenal made available to companies is nowadays mature and adapted to many contexts. 

Then, why are most computer-based attacks still performed by exploiting known – but still unfixed – vulnerabilities?  

The advent of CTI and the commoditization of vulnerability detection tools and services hit security professionals with an unexpected problem: an overwhelming flood of poorly structured and hardly comparable information that renders the whole initiative impractical. 

When data cannot be compared when information cannot be correlated and cross-referenced, how can security specialists understand what’s hot and what’s not in their specific context? 

If scoring vulnerabilities is impossible, does anyone can prioritize remediation? In an IT world where it is impossible to fix all vulnerabilities, do we really want to count on randomization to inform our defense tactics? 

As security experts are scarce and expensive, should they be employed for poor added value data-crunching tasks, leading to increasing remediation costs and a bored-out practice? 

Hackuity platform aggregates and normalizes all your security assessment practices, whether automated or handmade, empowering the value of your detection arsenal, putting an end to data overload. It also enriches them with AI-driven predictive models so security practitioners can, at last, create risk-driven remediation plans and align their priorities with their current and future exposure to threats.

 

MANIFESTO

From high skilled penetration tests to automagical security scanners, the vulnerabilities detection arsenal made available to compagnies is nowadays mature and adapted to most contexts.
Then why are the majority of computer-based attacks still performed by exploiting known – but still unfixed – vulnerabilities? why does the vulnerability fix time keep growing?

The advent of CTI and the commoditization of vulnerability detection tools and services hit security professionals with an unexpected problem: an overwhelming flood of poorly structured, hardly comparable information that rendered the whole initiative impractical.

When data cannot be compared, when information cannot be correlated and cross-referenced, how can security specialists understand what’s hot and what’s not in their specific context?
If scoring vulnerabilities is impossible, how can anyone prioritize remediation? In an IT world where it is impossible to fix all vulnerabilities, do we really want to count on randomization to inform our defense tactics?
As security experts are scarce and expensive, should they be employed for poor added value data-crunching tasks, leading to increasing remediation costs and a bored-out practice?

Hackuity’s platform aggregates and normalizes all your security assessment practices, whether automated or handmade, empowering the value of your detection arsenal, putting an end to data overload. It also enriches them with AI-driven predictive models so security practitioners can, at last, create risk-driven remediation plans and align their priorities with their current and future exposure to threats.