Security [insights] from the hacker's perspective

Our agentless security platform is built by a team of expert hackers. We use cloud-native technology and machine learning to mimic how a cybercriminal would approach your organization.

Attack surface illustration

Are you open to attack?

IT infrastructure is harder to map and defend than ever before.

The divergence and exponential growth of IT infrastructure combined with a surge in remote work have made attack surfaces bigger and more vulnerable. On average, an enterprise organization is unaware of 40% of what they have facing the internet. These unknown assets can offer critical access points to cybercriminals.

The divergence and exponential growth of IT infrastructure combined with a surge in remote work have made attack surfaces bigger and more vulnerable. On average, an enterprise organization is unaware of 40% of what they have facing the internet. These unknown assets can offer critical access points to cybercriminals.

Add [offense] to your defense with Hadrian

Hadrian defence shield illustration

001

Solution

Hadrian aids risk management by proactively and continuously scanning and testing company IT infrastructure to identify where defense is needed most.

002

Result

Based on Hadrian’s complete mapping of the attack surfaces, security teams can prioritize effectively and amplify their impact on risk reduction.

Our unique [hacker-first] approach

Other companies brute-force their customer, which can be both highly intrusive and inaccurate. Hadrian tests are targeted and event-driven, based on intelligence gathered in the past.

Hadrian examines your IT infrastructure from an external stand-point. Surveying attack surfaces from the outside allows Hadrian to find digital assets that were previously unknown and analyze how they work in combination.

Automated hacking program icon

Hacker’s perspective

Cybercriminals use advanced autonomous scanners to look for vulnerable assets. We look at enterprise attack surfaces from the outside in a similar manner. Automating this outside perspective allows our platform to run without an agent, implementation, or access on any organization.

Event driven technology icon

Event-driven testing

Event-driven technology allows us to test assets with more depth, reusing insights captured from earlier reconnaissance. A significant advantage is that this methodology also gives us accurate time-maps of how the security of an asset has evolved over time. Running tests and probes only when relevant means Hadrian is less intrusive than competitive scanning techniques.

Modular hacking framework icon

Modular

Hadrian is flexible and capable of testing new environments fast. Complex technical exploits are split into smaller tests and probes that have potential to trigger new events. Our framework integrates multiple tools which will interact with each other, amplifying the impact each module has.

Improving machine learning icon

Constantly improving

Confirmed results are fed back into ML models designed for specific tests, allowing for constant improvement and reduction of false-positives. New modules and events are added to the platform, constantly growing the number of possible event-chains.

Automated hacking program icon

Hacker’s perspective

Cybercriminals use advanced autonomous scanners to look for vulnerable assets. We look at enterprise attack surfaces from the outside in a similar manner. Automating this outside perspective allows our platform to run without an agent, implementation, or access on any organization.

Event driven technology icon

Event-driven testing

Event-driven technology allows us to test assets with more depth, reusing insights captured from earlier reconnaissance. A significant advantage is that this methodology also gives us accurate time-maps of how the security of an asset has evolved over time. Running tests and probes only when relevant means Hadrian is less intrusive than competitive scanning techniques.

Modular hacking framework icon

Modular

Hadrian is flexible and capable of testing new environments fast. Complex technical exploits are split into smaller tests and probes that have potential to trigger new events. Our framework integrates multiple tools which will interact with each other, amplifying the impact each module has.

Improving machine learning icon

Constantly improving

Confirmed results are fed back into ML models designed for specific tests, allowing for constant improvement and reduction of false-positives. New modules and events are added to the platform, constantly growing the number of possible event-chains.

Trusted by leading global investors

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