Security technology that puts intelligence first.

• Intelligence feeds and API

  Context-rich intelligence on malicious IP addresses, domains, URLs, files and vulnerabilities, delivered by API and standard feeds into your SIEM, SOAR and firewalls.

• Threat research and detection content

  Reports on threat actors and campaigns mapped to MITRE ATT&CK, with detection rules in open formats your tools already read.

• Contextual intelligence platform

  Correlates vulnerability, malware, dark-web, threat-actor and software supply-chain intelligence with your own environment, so you can see which threats apply to you.

• Compromise detection

  Checks DNS queries and outbound connections against intelligence to find internal hosts that may already be compromised.

• Deception technology

  Decoy systems and credentials that attract attackers already inside your network and reveal their techniques.

• Multi-agent AI SOC platform

  Software for your own security operations team. Specialist AI agents triage and enrich alerts, investigate across your SIEM, EDR, firewall and network tools, and escalate findings to your analysts with the evidence attached.

• Generative AI assistant for security operations

  Ask in plain language. The assistant extracts indicators and techniques from threat reports, enriches them, and drafts validation tasks, tickets and reports for an analyst to approve.

• AI-driven exposure orchestration

  An AI agent ranks exposures using intelligence and test results, then proposes validation and remediation steps across your existing tools for your team to approve.

Saibergard supplies security operations software and technology only. We do not provide managed security operations centre (SOC) monitoring services.

• AI security guardrails

  A protective layer between your people, AI agents and models that checks prompts, tool use and outputs against your policies before they reach your systems or data.

• AI agent supply-chain security

  Checks third-party agent skills, plug-ins and connectors for malicious code, prompt injection and data-leakage behaviour before your teams approve them.

• Discovery of AI in use

  Identifies the AI agents, models and AI-related APIs active on your network, so unsanctioned use can be brought under governance.

• External attack surface management

  Continuously discovers internet-facing assets, leaked credentials, exposed data and code, and confirms they belong to you before raising them.

• Automated and AI-assisted penetration testing

  Offensive automation combined with AI reasoning finds exploitable attack paths, including login flows and business-logic flaws, and returns evidence with fix guidance. It extends your testers; it does not replace them.

• Continuous security control validation

  Safely emulates current adversary techniques and campaigns to measure how well you prevent, detect and respond, then re-tests after each fix.

• Endpoint detection and response (EDR / XDR)

  Detects and contains threats on laptops, servers and workloads, and correlates them with network, identity and cloud signals.

• SIEM and SOAR

  Collects and correlates security logs across your environment, and automates routine response steps through playbooks your team controls.

• Network detection and response

  Analyses network traffic with behavioural analytics, threat intelligence and file detonation to expose lateral movement, command-and-control and covert channels, and reconstructs the attack path.

• Protective DNS

  Blocks connections to malicious and unwanted domains for headquarters, branches and remote users, with no hardware to install.

• Endpoint forensics and compromise assessment

  Sweeps endpoints for signs of existing compromise and produces an ATT&CK-mapped eradication plan for your team to verify.

• Next-generation firewalls (NGFW)

  Application-aware firewalls with intrusion prevention, informed by current threat intelligence.

• Web application and API protection (WAF)

  Protects websites and APIs against injection, bots and abuse, in front of on-premises or cloud applications.

• Secure access and SD-WAN (SASE)

  Secure, policy-controlled connectivity for branches and remote users, delivered from the network edge.

• Cloud security posture and workload protection (CSPM / CNAPP)

  Finds misconfigurations and risky permissions across cloud accounts and protects the workloads running in them.

• Identity and access management (IAM)

  Central control of who has access to which systems, with joiner, mover and leaver processes built in.

• Privileged access management (PAM)

  Vaults, rotates and records the use of administrator and service credentials.

• Multi-factor authentication (MFA)

  Phishing-resistant sign-in for staff, administrators and remote access.

• Zero trust network access (ZTNA)

  Grants access to individual applications based on identity and device health, instead of to the whole network.

• Data loss prevention (DLP)

  Detects and stops sensitive data leaving through email, web, endpoints and cloud applications.

• Data security posture management (DSPM)

  Finds where sensitive data sits across cloud and on-premises stores, and who can reach it.

• Secure email

  Blocks phishing, impersonation and malicious attachments before they reach your people.

• Backup and disaster recovery

  Protected, recoverable copies of critical systems and data, so you can restore after ransomware or failure.

• Impersonation and brand protection

  Finds phishing sites, lookalike domains, fake apps and social media accounts that impersonate your organisation.

• Leaked data and dark-web exposure

  Finds leaked credentials, documents and source code on public sites and the dark web.

• Takedown support

  Evidence packs that support removal requests for impersonating sites and accounts.