Stream.Safety unveils risk investigation and AI-powered remediation capabilities


Stream.Safety introduced new risk investigation and AI-powered remediation capabilities.

The brand new real-time assault path detection and generative AI-powered remediation instruments are a part of the real-time publicity administration options that the cloud safety firm is rolling out. With these capabilities, prospects can see all facets of a possible cloud assault immediately and map methods to stop it, leading to sooner time to response (decreasing MTTR).

“We’re excited to share these new options with our prospects at the moment,” mentioned Or Shoshani, CEO and of Stream.Safety. “With out this know-how, customers would want to mix particular person SIEM, risk detection and configuration administration instruments to determine assaults, leaving safety groups to attach the dots.

“The options we’re launching at the moment are designed to detect, analyze and patch flaws within the cloud atmosphere in a single platform, making it simpler for safety groups to react instantly and unveil the adversary intent and more durable for cyber attackers to compromise a company’s cloud infrastructure. We anticipate finding extra distinctive methods to create options that hold our prospects’ clouds protected.” added Shoshani.

Cloud infrastructures are dealing with elevated stress because the frequency and severity of assaults proceed to develop. Hackers worldwide discover new methods, like generative AI, to steal cloud information, holding it for ransom and propagate assaults sooner than ever.

Stream.Safety’s new options map out potential assaults per each change within the atmosphere, collect insights, examine threatening actions and take steps to remediate any points, stopping assaults earlier than they’ll happen, eliminating the necessity to conduct a brand new scan to unveil the modifications influence.

The answer’s newest suite of capabilities embody:

Actual-time assault path detection – This characteristic offers speedy insights into potential assault situations upon any configuration change that exposes a weak asset. Not like conventional options requiring an extra scan, Stream.Safety’s real-time assault path graph immediately detects all potential exposures upon each change of their cloud, enabling safety groups to handle their publicity in real-time.

Generative AI-powered remediation – Stream.Safety leverages the facility of generative AI to recommend remediation steps for any safety flaw detected within the cloud atmosphere. This characteristic considerably reduces Imply Time to Remediate (MTTR) by routinely producing tailor-made options, permitting safety groups to handle vulnerabilities as they come up with exact remediation steps.


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