Picus Offers Singapore-Hosted Security Validation for Local Data Residency

Picus Security offers a Singapore-hosted deployment of the Picus Platform. It allows organizations to keep customer data in Singapore while continuously validating their attack surfaces, security controls, and exposures.

Hosted on AWS in Singapore, the deployment gives organizations greater local control over sensitive validation information. It is particularly relevant where strict data residency, governance, or cloud risk requirements apply.

The platform combines three complementary validation methods to prove which exposures are exploitable, whether security controls prevent, detect, or miss relevant techniques, and how far an attacker can reach. It then carries that evidence into remediation and revalidation, so teams can confirm that each fix works.

Why validation data needs local control

Security validation produces some of the most sensitive information an organization holds. Its findings can show which weaknesses are exploitable and which attack paths lead to critical assets. They can also show where credentials are at risk, which attacks slip past prevention and detection, and what needs fixing first. Taken together, they form a detailed map of how an attacker could move through the business.

For organizations in Singapore with internal data residency policies or specific governance requirements, where this information is stored can weigh heavily in cloud procurement and third-party risk assessments. Security and procurement teams need to evaluate how a deployment fits their rules for handling confidential operational information. The Singapore-hosted option gives them a deployment they can assess against their own data classification, confidentiality, and hosting requirements, so security teams can validate continuously while keeping this information in Singapore.

Singapore raises the bar

Singapore is also sharpening its focus on how critical systems are secured and tested. In July 2026, the Cyber Security Agency of Singapore (CSA) announced a dedicated Code of Practice for Cloud Services, expected later in 2026, that will set security requirements for how cloud-hosted critical information infrastructure (CII) systems are deployed, operated, and managed.

The same announcement cited AI-enabled threats as a driver for updating CSA's cybersecurity requirements for CII, noting that AI helps attackers find vulnerabilities sooner and leaves defenders less time before those flaws are exploited. CSA issued the updated Cybersecurity Code of Practice for CII at the end of the month and has said it will add technical guidance on adversarial attack simulation, penetration testing, and threat hunting.

Security testing needs to keep pace with change

Attack simulation and penetration testing only help if they keep pace with change. Exposure rarely stands still between scheduled assessments. New vulnerabilities, attack campaigns, security policy changes, and infrastructure updates can all shift an organization's risk, and each change raises a different question. Is the new vulnerability exploitable? Can we stop the latest campaign? Did a policy change weaken our defenses? Did an infrastructure update open a new attack path?

Picus uses three validation methods to answer those questions.

• Breach and Attack Simulation safely runs real attacker techniques against live security controls to establish whether they are prevented, detected, or missed.
• Autonomous Penetration Testing chains real exploits, privilege escalation, and lateral movement to determine how far an attacker can reach and which paths lead to critical assets.
• Exposure Validation determines exploitability across affected assets by testing the attacker techniques a vulnerability depends on, including where direct exploitation would be unsafe or impractical.

Together, these methods connect exploitability, attack paths, and control effectiveness in one coordinated validation program. In the first half of 2026 alone, Picus customers worldwide ran more than 338 million attack simulations in production environments, forming the basis of the Blue Report 2026.

The regional data also shows how security validation is becoming more important across APAC. Logging effectiveness rose from 41% in 2025 to 63% in 2026, a 22-point increase. But prevention moved slightly in the other direction, from 63% to 61%. Organizations are capturing more attack activity, but better visibility does not automatically mean stronger protection. Continuous validation helps teams test both.

Run continuously, these methods produce exactly the kind of evidence that calls for local control. With the Singapore-hosted deployment, that evidence stays in Singapore.

From validation evidence to action

Validation only reduces risk when findings turn into action. Picus brings the results of all three methods into a shared findings model that is deduplicated, evidence-backed, and asset-aware. Teams work from one prioritized backlog instead of separate queues full of duplicate findings and conflicting priorities.

With more than 75 integrations, the platform routes each validated finding to the accountable owner with remediation guidance. That guidance includes vendor-specific prevention signatures and detection rules for the controls teams already own. Every fix is then revalidated, and a finding closes only when evidence confirms that the exposure has been addressed or the attack path has been broken.

The goal is not more findings. The goal is defensible action.

Assessing the Singapore-hosted deployment against your own data classification and hosting requirements? Request a demo to walk through it with a Picus expert.

Attack surfaces. Security controls. Exposures. All validated, with customer data hosted in Singapore.